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Microsoft is now blocking Russian firms from using its cloud services – TechRadar

Microsoft will stop providing cloud services to users in Russia later this weeks as part of the sanctions package imposed on the country by its Western peers.

The company has set up a dedicated Telegram channel to support its clients, and urged everyone to make backups of their data as soon as possible.

Power BI, and Dynamics CRM are just some of the tools that will no longer be available to Russian customers from March 20.

As per the reports, Elena Volotovskaya, VP for investments at Russian IT company Softline, confirmed the news, saying all Microsoft clients received a warning letter earlier this month.

Volotovskaya also said that other major global cloud providers, Amazon, and Google, will soon follow in Microsofts footsteps for the same reason, and that local companies should switch to local service providers, if they havent done so already.

While disruptive, this news shouldnt come as much of a surprise to anyone in Russia, claims general director of the Basalt SPO company, Alexey Smirnov. The 12th sanctions package, part of which is the removal of Western cloud services, was adopted on December 19, 2023, so Russian firms had roughly three months to prepare for the inevitable.

Since the Russian invasion of Ukraine more than two years ago, Ukraines western allies (the U.S., the majority of EU countries, and more), have been pressuring Russia into giving up on its special military operation through economic sanctions, while giving Ukraine significant military aid in weapons and ammunition.

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Arguably the biggest disruption in the Russian market was caused by the countrys removal from the SWIFT financial transaction processing system. The two biggest card and payment service providers, Visa and MasterCard, have also quit the market.

Via Windows Report

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Oracle and NVIDIA to Deliver Sovereign AI Worldwide – NVIDIA Blog

GTCOracle and NVIDIA today announced an expanded collaboration to deliver sovereign AI solutions to customers around the world. Oracles distributed cloud, AI infrastructure, and generative AI services, combined with NVIDIAs accelerated computing and generative AI software, are enabling governments and enterprises to deploy AI factories.

These AI factories can run cloud services locally, and within a countrys or organizations secure premises with a range of operational controls, supporting sovereign goals of diversifying and boosting economic growth.

As AI reshapes business, industry, and policy around the world, countries and organizations need to strengthen their digital sovereignty in order to protect their most valuable data, said Safra Catz, CEO of Oracle. Our continued collaboration with NVIDIA and our unique ability to deploy cloud regions quickly and locally will ensure societies can take advantage of AI without compromising their security.

In an era where innovation will be driven by generative AI, data sovereignty is a cultural and economic imperative, said Jensen Huang, founder and CEO of NVIDIA. Oracles integrated cloud applications and infrastructure, combined with NVIDIA accelerated computing and generative AI services, create the flexibility and security nations and regions require to control their own destiny.

Turnkey Solutions to Help Customers Meet Data Sovereignty The combination of NVIDIAs full-stack AI platform with Oracles Enterprise AI deployable across OCI Dedicated Region, Oracle Alloy, Oracle EU Sovereign Cloud, and Oracle Government Cloud offers customers a state-of-the-art AI solution that provides greater control over operations, location, and security to help support digital sovereignty.

Countries across the globe are increasingly investing in AI infrastructure that can support their cultural and economic ambitions. Across 66 cloud regions in 26 countries, customers can access more than 100 cloud and AI services spanning infrastructure and applications to support IT migration, modernization, and innovation.

The companies combined offerings can be deployed via the public cloud or in a customers data center in specific locations, with flexible operational controls. Oracle is the only hyperscaler capable of delivering AI and full cloud services locally, anywhere. OCI services and pricing are consistent across deployment types to simplify planning, portability, and management.

Oracles cloud services leverage a range of NVIDIAs stack, including NVIDIA accelerated computing infrastructure and the NVIDIA AI Enterprise software platform, including newlyannounced NVIDIA NIM inference microservices, which are built on the foundation of NVIDIA inference software such as NVIDIA TensorRT, NVIDIA TensorRT-LLM, and NVIDIA Triton Inference Server.

Sovereign AI Pioneers Avaloq, a leader in wealth management technology, selected OCI Dedicated Region to bring a complete OCI cloud region into its own data center.

OCI Dedicated Region aligns with our commitment to ensure maximum control over data residency while providing access to the latest cloud infrastructure, said Martin Bchi, chief technology officer at Avaloq. This supports us as we continue to drive the digital transformation of banks and wealth managers.

TEAM IM, a leading New Zealand information management services provider, chose Oracle Alloy to build New Zealands first locally owned and operated hyperscale cloud known as TEAM Cloud.

Organizations in New Zealand are increasingly eager to harness the power of the cloud while safeguarding the integrity of their data within their own shores by leveraging a unique hyperscale cloud solution, said Ian Rogers, chief executive officer of TEAM IM. With Oracle Alloy and the possibility of integrating the NVIDIA AI platform into our cloud services, weve been able to become a cloud services provider that can assist public sector, commercial and iwi organizations in navigating the intricacies of the digital landscape and optimizing their digital transformations.

e& UAE, telecom arm of e& group, is collaborating with Oracle to enhance its AI capabilities and intends to deploy NVIDIA H100 Tensor Core GPU clusters within its OCI Dedicated Region.

OCI will enable us to deploy NVIDIA H100 GPU clusters within our own OCI Dedicated Region, hosted at e& UAE data centers, said Khalid Murshed, chief technology and information officer (CTIO) of e& UAE. This type of localization will allow us to accelerate AI innovation across the UAE and helps us develop new Gen AI applications and use cases at scale. This is in line with e& UAEs transformation efforts to pioneer innovation and shape the future of technology with our focus on driving excellence in AI to provide unparalleled customer experiences.

OCI Supercluster and OCI Compute Boosted with NVIDIA Grace Blackwell To help customers address the ever-increasing needs of AI models, Oracle plans to take advantage of the latest NVIDIA Grace Blackwell computing platform, announced today at GTC, across OCI Supercluster and OCI Compute. OCI Supercluster will become significantly faster with new OCI Compute bare metal instances, ultra-low-latency RDMA networking, and high-performance storage. OCI Compute will adopt both the NVIDIA GB200 Grace Blackwell Superchip and the NVIDIA Blackwell B200 Tensor Core GPU.

The NVIDIA GB200 Grace Blackwell Superchip will power a new era of computing. GB200 delivers up to 30X faster real-time large language model (LLM) inference, 25X lower TCO, and requires 25X less energy compared to the previous generation of GPUs, supercharging AI training, data processing, and engineering design and simulation. NVIDIA Blackwell B200 Tensor Core GPUs are designed for the most demanding AI, data analytics, and high-performance computing (HPC) workloads.

NVIDIA NIM and CUDA-X microservices, including NVIDIA NeMo Retriever for retrieval- augmented generation (RAG) inference deployments, will also help OCI customers bring more insight and accuracy to their generative AI copilots and other productivity tools using their own data.

NVIDIA Grace Blackwell Comes to DGX Cloud on OCI To meet escalating customer demand for increasingly complex AI models, the companies are adding NVIDIA Grace Blackwell to NVIDIA DGX Cloud on OCI. Customers will be able to access new GB200 NVL72-based instances through this co-engineered supercomputing service designed for energy-efficient training and inference in an era of trillion-parameter LLMs.

The full DGX Cloud cluster buildout will include more than 20,000 GB200 accelerators and NVIDIA CX8 InfiniBand networking, providing a highly scalable and performant cloud infrastructure. The cluster will consist of 72 Blackwell GPUs NVL72 and 36 Grace CPUs with fifth-generation NVLink.

Availability Oracle and NVIDIAs sovereign AI solutions are available immediately. To learn more, go to the Oracle sovereign AI page.

Additional Resources

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IBM focuses on platform-based plan for hybrid cloud and AI – TechTarget

There are few alive today who can remember a time when IBM wasn't a powerhouse in computing. The company has played a major role in the three major periods when tech spending grew faster than gross domestic product, and it's reinvented itself more times than any other major player.

Buyers consistently rate it among the most strategically influential companies in tech, and yet it gets relatively little love from the press. IBM is often portrayed as the sleeping giant that's falling into deeper sleep. What is IBM up to now? How should enterprises assess its future and their future with IBM? The answer is platforms.

As recently as 20 years ago, a platform in computing meant a computer system. Application software, even then, was the critical ingredient in turning something that could do little more than heat a room into an experience that people and businesses value. The computer -- the hardware -- was just what software needed to run. What IBM realized about that time, when considering the broad topic of AI that led to its Watson initiative, was that not only was hardware insufficient to build the foundation of software, but it wasn't even all that important.

What mattered was an emerging and growing software layer that sat between hardware and applications. This layer -- or platform -- consists of OSes, middleware and operations tools. It's the link between that applications layer and the business cases that drive IT spending.

IBM's platform strategy is what led it to abandon networking, which it sold to Cisco, and even personal computing, which IBM made into the business tool it is and then sold to Lenovo. It retained only its mainframe computers: the Z series and Power servers. The former were kept because the largest IBM customers, which were also the largest companies, had written their own software for these systems and the latter to accommodate a large base of enterprise software written for IBM's Advanced Interactive eXecutive, or AIX, OSes.

Over time, application evolution has eroded the software base for both types of hardware, and so hardware is less and less important to IBM's revenues. That's not a problem; it is a sign that the transition to the platform concept is almost complete.

In one way, yes, because the platform strategy builds standardized software tools in a hardware-independent way to build applications. However, it also isn't because a platform is also a customer acquisition and retention strategy, as well as the basis for professional services revenues.

Since a platform is an integrated, symbiotic unit, it also offers buyers an application framework they don't need to build and integrate themselves. Even platforms can't totally unravel software complexity. Platform skills can be sold as professional services. It's no surprise that IBM's software and professional services businesses are growing, more than offsetting the hardware erosion.

Hybrid cloud is currently IBM's most valuable platform, partly because it cuts across all vertical markets and all applications.

IBM jumped on the notion of hybrid cloud because it knew from its mainframe experience that the data center was a persistent part of enterprise strategy. With the Red Hat acquisition, IBM gained a broader potential market and a modern software base on which both data center and cloud applications could be built. The hybrid cloud model then connects and unifies the two.

Given that most of IBM's competitors are relying on an "everything is moving to the cloud" story, IBM sees that enterprise C-suite members are highly uncomfortable with a total migration. Recent softness in cloud growth proves that. The capstone of the IBM hybrid cloud strategy could well be the Software AG's StreamSets and webMethods acquisition in December 2023, both technologies to organize software portability in hybrid and multi-cloud deployments.

Watsonx is not only an AI platform, but a data platform that provides a direct link to business operations. What IBM heard from enterprises was that AI wasn't valuable alone. Instead, it works well as an extension of business analytics and as a means of solving business problems by analyzing past activity and projecting future trends.

We should expect IBM to continue to exploit its hybrid cloud advantage through software and to capitalize on its unique ability to link AI directly to corporate data to gain advantages.

Tom Nolle is founder and principal analyst at Andover Intel, a consulting and analysis firm that looks at evolving technologies and applications first from the perspective of the buyer and the buyer's needs. By background, Nolle is a programmer, software architect, and manager of software and network products, and he has provided consulting services and technology analysis for decades.

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Driving the Cloud Computing and AI Revolution: Nutanixs Blueprint for Data-Centric Transformation – Telecom Reseller

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Rackspace Launches SPOT, an Innovative Open Market Auction for Cloud Servers with Managed Kubernetes – Datanami

SAN ANTONIO, March 22, 2024 Rackspace Technology, a leading end-to-end hybrid, multicloud, and AI technology solutions company, recently introduced Rackspace SPOT, the worlds only open market auction for cloud servers.

Rackspace SPOT offers instant online sign-up, a customer-driven bidding process that allows users to set compute market prices, with capacity delivered as turnkey, fully managed Kubernetes clusters.

Rackspace SPOT offers a unique open market auction model that provides cost-effective cloud infrastructure solutions for small to medium enterprises, startups, digital companies, and developers, said Lance Weaver, Rackspace Technology Chief Product and Technology Officer, Private Cloud Business Unit. With high-availability Kubernetes clusters and market-based dynamic pricing, organizations can scale resources up or down as needed and obtain cloud infrastructure at the best possible price. The transparency of the auction process provides information to compare prices and choose the most cost-effective options.

Spot was co-developed by teams at Rackspace Technology and Platform9, the leading independent provider of SaaS-managed Kubernetes.

We are pleased to contribute to Spot, a major innovation in the cloud computing market, said Sirish Raghuram, Co-founder and Chief Growth Officer at Platform9. Spot features several Platform9 innovations, such as a new centrally hosted Kubernetes control plane that lowers costs to customers. This allows users to deploy a fully managed Kubernetes cluster from as little as $0.72 per month, which is two orders of magnitude cheaper than comparable alternatives.

Rackspace SPOT Key Features

Rackspace SPOT Key Benefits

Kubernetes Solutions

Leverage Kubernetes without the complexity of managing all the moving parts; you dont have to worry about configuring high-availability upgrades or troubleshooting.

In addition, SPOT comes out of the box with two storage classes: Solid-State Drive (SSD) and Serial ATA (SATA) for persistent storage, a network-policy-capable Calico Container Network Interface (CNI), and load balancers.

Rich Add-Ons

Bring your own favorite K8s Helm charts or Operators today while our engineers are hard at work to include these out-of-the-box, including:

To learn more about Rackspace SPOT, click here.

About Rackspace Technology

Rackspace Technology is a leading end-to-end hybrid, multicloud, and AI technology services company. We design, build, and operate our customers cloud environments across all major technology platforms, irrespective of technology stack or deployment model. We partner with our customers at every stage of their cloud journey, enabling them to modernize applications, build new products, and adopt innovative technologies.

Source: Rackspace

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Microsoft and NVIDIA announce major integrations to accelerate generative AI for enterprises everywhere – Stories – Microsoft

REDMOND, Wash., and SAN JOSE, Calif. March 18, 2024 At GTC on Monday, Microsoft Corp. and NVIDIA expanded their longstanding collaboration with powerful new integrations that leverage the latest NVIDIA generative AI and Omniverse technologies across Microsoft Azure, Azure AI services, Microsoft Fabric and Microsoft 365.

Together with NVIDIA, we are making the promise of AI real, helping drive new benefits and productivity gains for people and organizations everywhere, said Satya Nadella, chairman and CEO, Microsoft. From bringing the GB200 Grace Blackwell processor to Azure, to new integrations between DGX Cloud and Microsoft Fabric, the announcements we are making today will ensure customers have the most comprehensive platforms and tools across every layer of the Copilot stack, from silicon to software, to build their own breakthrough AI capability.

AI is transforming our daily lives opening up a world of new opportunities, said Jensen Huang, founder and CEO of NVIDIA. Through our collaboration with Microsoft, were building a future that unlocks the promise of AI for customers, helping them deliver innovative solutions to the world.

Advancing AI infrastructure

Microsoft will be one of the first organizations to bring the power of NVIDIA Grace Blackwell GB200 and advanced NVIDIA Quantum-X800 InfiniBand networking to Azure, deliver cutting-edge trillion-parameter foundation models for natural language processing, computer vision, speech recognition and more.

Microsoft is also announcing the general availability of its Azure NC H100 v5 VM virtual machine (VM) based on the NVIDIA H100 NVL platform. Designed for midrange training and inferencing, the NC series of virtual machines offers customers two classes of VMs from one to two NVIDIA H100 94GB PCIe Tensor Core GPUs and supports NVIDIA Multi-Instance GPU (MIG) technology, which allows customers to partition each GPU into up to seven instances, providing flexibility and scalability for diverse AI workloads.

Healthcare and life sciences breakthroughs

Microsoft is expanding its collaboration with NVIDIA to transform healthcare and life sciences through the integration of cloud, AI and supercomputing technologies. By harnessing the power of Microsoft Azure alongside NVIDIA DGX Cloud and the NVIDIA Clara suite of microservices, healthcare providers, pharmaceutical and biotechnology companies, and medical device developers will soon be able to innovate rapidly across clinical research and care delivery with improved efficiency.

Industry leaders such as Sanofi and the Broad Institute of MIT and Harvard, industry ISVs such as Flywheel and SOPHiA GENETICS, academic medical centers like the University of Wisconsin School of Medicine and Public Health, and health systems like Mass General Brigham are already leveraging cloud computing and AI to drive transformative changes in healthcare and to enhance patient care.

Industrial digitalization

NVIDIA Omniverse Cloud APIs will be available first on Microsoft Azure later this year, enabling developers to bring increased data interoperability collaboration, and physics-based visualization to existing software applications. At NVIDIA GTC, Microsoft is demonstrating a preview of what is possible using Omniverse Cloud APIs on Microsoft Azure. Using an interactive 3D viewer in Microsoft Power BI, factory operators can see real-time factory data overlaid on a 3D digital twin of their facility to gain new insights that can speed up production.

NVIDIA Triton Inference Server and Microsoft Copilot

NVIDIA GPUs and NVIDIA Triton Inference Server help serve AI inference predictions in Microsoft Copilot for Microsoft 365. Copilot for Microsoft 365, soon available as a dedicated physical keyboard key on Windows 11 PCs, combines the power of large language models with proprietary enterprise data to deliver real-time contextualized intelligence, enabling users to enhance their creativity, productivity and skills.

From AI training to AI deployment

NVIDIA NIM inference microservices are coming to Azure AI to turbocharge AI deployments. Part of the NVIDIA AI Enterprise software platform, also available on the Azure Marketplace, NIM provides cloud-native microservices for optimized inference on more than two dozen popular foundation models, including NVIDIA-built models that users can experience at ai.nvidia.com. For deployment, the microservices deliver prebuilt, run-anywhere containers powered by NVIDIA AI Enterprise inference software including Triton Inference Server, TensorRT and TensorRT-LLM to help developers speed time to market of performance-optimized production AI applications.

About NVIDIA

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The companys invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling industrial digitalization across markets. NVIDIA is now a full-stack computing infrastructure company with data-center-scale offerings that are reshaping industry. More information at https://nvidianews.nvidia.com/.

About Microsoft

Microsoft (Nasdaq MSFT @microsoft) enables digital transformation for the era of an intelligent cloud and an intelligent edge. Its mission is to empower every person and every organization on the planet to achieve more.

For more information, press only:

Microsoft Media Relations, WE Communications for Microsoft, (425) 638-7777,[emailprotected]

Natalie Hereth, NVIDIA Corporation, [emailprotected]

Note to editors: For more information, news and perspectives from Microsoft, please visit Microsoft Source athttp://news.microsoft.com/source. Web links, telephone numbers and titles were correct at time of publication but may have changed. For additional assistance, journalists and analysts may contact Microsofts Rapid Response Team or other appropriate contacts listed athttps://news.microsoft.com/microsoft-public-relations-contacts.

NVIDIA forwardlooking statements

Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, performance, features, and availability of NVIDIAs products and technologies, including NVIDIA Grace Blackwell Superchip, NVIDIA DGX Cloud, NVIDIA Omniverse Cloud APIs, NVIDIA AI and Accelerated Computing Platforms, and NVIDIA Generative AI Microservices; the benefits and impact of NVIDIAs collaboration with Microsoft, and the features and availability of its services and offerings; AI transforming our daily lives, the way we work and opening up a world of new opportunities; and building a future that unlocks the promise of AI for customers and brings transformative solutions to the world through NVIDIAs continued collaboration with Microsoft are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; NVIDIAs reliance on third parties to manufacture, assemble, package and test NVIDIAs products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIAs existing product and technologies; market acceptance of NVIDIAs products or NVIDIA partners products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIAs products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the companys website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.

2024 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, DGX, NVIDIA Clara, NVIDIA NIM, NVIDIA Omniverse, NVIDIA Triton Inference Server, and TensorRT are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and/or other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability, and specifications are subject to change without notice.

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AWS: Revolutionising motorsports through cloud computing – British GT

SRO Motorsports Group has cultivated a longstanding, successful collaboration with Amazon Web Services (AWS), the worlds most comprehensive and broadly adopted cloud. Spanning from 2019 to present day, and beyond, AWSs presence across the global Fanatec GT World Challenge platform has only continued to grow, becoming the presenting entitlement sponsor in 2020.

SRO Motorsports Group and AWS are growing together ahead of another thrilling season, expanding their collaboration across the Fanatec GT World Challenge America, Europe, Asia, and Australia championships. AWS continues to stand as a beacon of innovation, sustainability, and global expansion in the realm of global motorsports.

AWS, serving as the designated global technology provider for SRO, extends its cutting-edge array of cloud services, artificial intelligence (AI), and machine learning throughout all SRO series worldwide. This significant collaboration offers an exceptional experience for teams, drivers, and fans, raising the bar for engagement and innovation in motorsports. AWS has the potential to revolutionize various aspects of SROs operations through advanced cloud computing capabilities, with the aim of enhancing the efficiency, safety, and entertainment quotient of SRO racing events.

AWS's robust data analytics tools also enable SRO Motorsports Group to gather and analyze large amounts of data during races. This data encompasses crucial metrics such as car telemetry, driver performance, track conditions, and fan engagement. By harnessing AWS's machine learning algorithms, SRO can collect actionable insights from this data and as a result assist in facilitating real-time decision-making for teams, optimizing race strategies, and enhancing the overall competitiveness of the sport.

Additionally, sensors located across circuits capture timely data on track conditions, weather patterns, and environmental factors, all of which is seamlessly integrated within AWS's cloud computing infrastructure. This enables officials to optimize track management, make adjustments on the fly, and adapt event logistics. By leveraging AWS's capabilities, SRO Motorsports Group can ensure smoother race operations and minimize disruptions, thereby enhancing the overall experience for teams, drivers, and spectators alike.

AWS's contribution extends beyond the confines of the track, breaking down barriers in the digital, virtual, and real-life realms of motorsport to enrich the experience of fans around the world. Through AWS-powered video streaming and content delivery solutions, SRO Motorsports Group delivers high-definition, low-latency broadcasts of its events to global audiences. Moreover, AWS's personalized recommendation engines and interactive fan engagement platforms enhance viewer immersion, fostering a deeper connection between fans and the sport.

The collaboration between SRO and AWS has already seen significant achievements, including the RaceVision Powered by AWS concept, offering real-time insights and on-screen graphics that bring fans closer to the action with data like top speeds and cornering prowess. This collaboration has also been instrumental in advancing SRO's e-sports initiatives, leveraging AWS's virtual machines and media services to host race servers and livestream events with professional broadcast quality.

Looking ahead, the collaboration is committed to exploring new, innovative methods that utilize AWS's extensive set of global cloud-based products to further enhance GT racing around the world. AWS will also continue to play a pivotal role in SRO's Balance of Performance (BOP) criteria, a cornerstone of modern GT competition, by assuming data hosting responsibilities.

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Microsoft reportedly ending cloud service access in Russia – SC Media

Sanctions imposed by the European Union on Russia following its war against Ukraine have reportedly promptedMicrosoftto suspend access to its cloud services and business intelligence tools across the country by the end of the month, reportsThe Record, a news site by cybersecurity firm Recorded Future.

Such termination of Microsoft service access was disclosed by Russian tech firm and major Microsoft distributor Softline, which initially reported that access to Microsoft's products, including Azure, SQL Server, PowerShell, OneDrive, and PowerBI, will be suspended by Mar. 20. "This does not cancel the imposed restrictions, but it gives a realistic timeframe to collect the data and set up the operation of an alternative infrastructure," said Softline, which has already urged Russian organizations to back up data stored within foreign cloud services and migrate to homegrown cloud systems. The development comes months after Microsoft halted license renewals for products used by Russian firms.

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Nutanix sues Tessell over claims founders used IP to build rival products with strikingly similar features – ITPro

Nutanix has announced it has filed a lawsuit against database as a service platform Tessell amid allegations its founders covertly built competing products while still employed at Nutanix.

The cloud computing giant filed the lawsuit in the US District Court in San Jose, which alleges that sensitive company information, as well as valuable resources, were used illegally by Tessells founders to launch the business.

Nutanixs filing alleged that Tessell founders Bala Kuchibhotla, Kamal Khanuja, and Bakul Banthia covertly designed, built, exhibited, and secured financing for a future Tessell product while still at Nutanix.

Moreover, the lawsuit claimed that Nutanix source code, servers, and other resources were used by the Tessell founders when creating the product, and that they took the source code across to Tessell after leaving Nutanix.

KKB [Tessells founders] used Nutanix facilities, equipment, services, and even the Nutanix Era source code when developing the Tessell product, the filing reads.

KKB planned, developed, obtained initial financing for, and demonstrated prototypes of the competing productall using Nutanix computers and while they were employed by Nutanix. One of the Tessell prototypes they demonstrated actually ran on Nutanix servers.

The source code claimed to have been stolen by the group was for Nutanixs Era database management software suite, now referred to as the Nutanix Database Service (NDB).

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The complaint also argued the group tried to remove all indications of Nutanix branding from the Tessell prototype, and further cover their tracks by wiping their company devices.

When planning their departures, KKB took all or a substantial portion of the Era source code, saved it to private accounts and devices, and Tessell later incorporated Era source code into its product. KKB then wiped their laptops to cover their tracks, an effort that was initially successful.

Nutanix claimed the speed with which Tessell was able to launch its competing product, as well as a very similar feature-set, was enough for the company to open a probe into potential IP infringements.

When Tessell launched its product in late 2022, however, the speed with which it came to market with features strikingly similar to Era caused Nutanix to commence a full-fledged forensic investigation. As a result, Nutanix uncovered the theft of proprietary code and technology described herein.

The complaint argued that Tessells founders access to Nutanix source code and resources meant it was able to release their competing product just 18 months after being founded, with support for major databases such as Oracle, Microsoft SQL Server, MongoDB, MySQL, and PostgreSQL.

Tessell was able to release a robust commercial product in such a relatively short period of time because it was founded by a group of Nutanix engineers who were instrumental in developing the Era product, and who had access to all of the key technology and source code embedded in Era.

Nutanix said it is seeking the return of stolen intellectual property, an injunction to prevent further infringement, restitution, and money damages from Tessell.

It also announced it would be commencing separate arbitration proceedings against the Tessell founders concerning the violation of their employee agreements as Nutanix staff.

ITPro has approached Nutanix and Tessell for comment

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Nutanix sues Tessell over claims founders used IP to build rival products with strikingly similar features - ITPro

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Is Edge Computing Living Up to Its Promise in the Australian Market? – TechRepublic

Edge computing is often predicted as a technology that will revolutionise enterprise computing in Australia. By capturing, processing, analysing and storing data at the edge, instead of a central location, its promises include fast real-time computing at the edge and less cost.

While the edge is yet to live up to these promises, adoption is taking place. Utpal Mangla, general manager for industry edge cloud & IBM Distributed Cloud Platform, said the edge is being rolled out for specific use cases globally, including quality control in manufacturing.

Growth in AI may propel the trend, as some use cases find their way to the edge. Mangla argues a hybrid cloud by design approach is the best option for enterprises looking to prepare for a future where they need to straddle on-premises, cloud and edge computing.

Australia should be a prime candidate for edge computing growth. With a population of 25 million living on a landmass the size of the U.S. or Europe, the potential for processing data at the edge, rather than centralised data centres or the cloud, appears compelling for businesses.

SEE: The current state of edge computing.

But just like elsewhere, the edge has not taken off at the pace some had envisioned.

The [global] industry has been saying for five, seven, eight years, that it was coming and would change the world, IBMs Mangla told TechRepublic. Has it panned out the way analysts and businesses have seen it? Probably in terms of monetisation, it hasnt reached that scale yet.

Telecommunications companies like Telstra have put billions into 5G infrastructure. The hope was 5Gs high bandwidth, low latency and capabilities like network slicing would make the promise of the edge real. Monetisation was to be achieved through business customers.

However, a study commissioned by Telstra in 2022-23 described adoption as nascent at the time, with just 25% of businesses. It found leaders were exploring cloud adoption and provider investments were fast-tracking customer journeys and advancing hybrid cloud plans.

An Accenture survey of 2,100 C-level execs across 18 countries found 83% still believe edge will be essential to remain competitive in the future. However, only 65% were using edge computing, and 50% of these were only ad hoc or tactical users of edge computing (Figure A).

Slower than expected edge growth was in part due to the hype of predictions themselves.

Some of it was a bit overblown. It always required building use cases, it required building businesses, it required putting things in place to make that potential of edge computing happen, Mangla said.

However, there are other barriers the edge computing industry is dealing with in deployment.

SEE: Consider these edge computing best practices.

While billed as a way to rationalise costs through a reduction in data transfer costs, the edge has actually turned out to be more expensive in some cases. Telstras State of Cloud, Edge and Security 2022-23 survey found 46% of businesses were put off by low cost-to-benefit ratios.

Forty-two per cent found business cases and outcomes not compelling enough (Figure B), which was put down to insufficient understanding of the benefits of edge in terms of ROI and competitive differentiation. Businesses were also experiencing edge strategy and skills gaps.

The depth of the edge computing market also means it is challenged by the lack of a standard edge computing stack and APIs (Figure C). This has made it challenging to develop and deploy edge applications that can work across different edge computing devices and platforms.

Use cases for edge computing have tended to be vertical-specific. With differences across industries and use cases, this means investment is also fragmented, at least until individual industries determine consistent architectural approaches to capturing the value of the edge.

Edge computing is growing in Australia and around the world, even if this may appear underwhelming due to inflated expectations. Mangla noted that edge computing is actively being deployed by IBM clients, in specific industry use cases across the globe.

A prime example is on the industrial floor. Mangla said many organisations with manufacturing operations that want top-class quality control and inspection are augmenting manual inspections by deploying edge computing for visual inspection on the shopfloor.

Epicor, a provider of manufacturing execution systems in the Australian and regional market, is just one technology vendor that is actively working with local manufacturers to supercharge operations through smart factory initiatives that further automate operations.

IBM has worked with automotive clients using the edge to monitor stock levels in car parking lots during supply chain disruptions. The edge is also powering autonomous driving features for automakers, allowing split-second decisions without the latency of cloud connectivity.

Australian miners are leading edge adopters. Iron ore miner Newcrest is using intelligent edge to pull data from downstream sensors monitoring tonnes tipped, apron feeder speeds and weightometres to control the volume of ore delivered to crushed ore bins upstream.

McKinsey & Company research indicates the industries looking at the potential of edge computing include everything from aerospace and defence, the chemicals industry, and electric power, natural gas and utilities, to financial services, healthcare systems and retail.

Australia is ripe for growth in edge computing, Mangla said. During a recent visit to Sydney, he noted there were startups looking to run artificial intelligence visual recognition technology for industries at the edge, and New Zealand companies looking at the edge for their manufacturing operations.

SEE: Australia is well-positioned to capitalise on the future influence of AI.

Mangla said edge computing could be accelerated thanks to AI because some use cases suit the edge. Mangla said the edge really excels where decisions need to be taken fast at that point in time and where it is best to avoid waiting on data to be transferred to centralised locations.

Organisations looking to make the most of edge computing, as well as the rest of their cloud infrastructure, should take a hybrid cloud by design approach, Mangla said. While much of the market had stumbled organically into a mix of on-premises and cloud infrastructure and services, he said this would be better managed with an intentional embrace of hybrid cloud in the future.

When you think about strategy, there is always going to be more than one cloud, he said. You will always have something, the crown jewels, that you will never put in a cloud environment, you will always have that in an on-prem or in a private cloud. Australian Government agencies like the ATO, they will never put anything on the public cloud.

As new applications get built, make sure that application can seamlessly operate across the entire landscape. As you start building it intentionally over the next 10 to 15 years, as you do app modernisation, you need a hybrid cloud by design mindset.

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Is Edge Computing Living Up to Its Promise in the Australian Market? - TechRepublic

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