Category Archives: Cloud Servers
Crypto miner arrested for skipping on $3.5 million in cloud server bills – BleepingComputer
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Crypto miner arrested for skipping on $3.5 million in cloud server bills - BleepingComputer
Alleged cryptojacker arrested for money laundering, $3.5 million in cloud service fraud ultimately mined less than $1 … – Tom’s Hardware
The U.S. Attorney's office announced the arrest and indictment of crypto miner Charles O. Parks, also known as 'CP3O,' who defrauded and used multiple servers from two well-known cloud computing providers, amounting to a bill totaling nearly US$ 3.5 million to mine cryptocurrencies that are worth almost $1 million. The office terms his scheme as a large-scale 'cryptojacking'.
If convicted, Parks could face up to 20 years imprisonment for wire fraud and money laundering, with 10 more years for unlawful monetary transactions. This investigation was conducted by the US State Attorney for the Eastern District of New York, the FBI, and the New York Police Department.
According to the report, Parks created two corporations called 'Multimillionaire LLC' and 'CP3O LLC' to create multiple accounts with the two cloud computing providers where he used its processing power and storage to mine Ethereum (ETH), Litecoin (LTC) and Monero (XMR). Parks did this by tricking providers into approving privileges and benefits for his accounts. He then sold these cryptocurrencies and laundered the money through exchanges, an NFT marketplace, an online payment provider, and banks to cover up ties to himself.
Instead of paying the mounting bills from respective cloud servers, he used the laundered money on luxury items, cars, jewelry, and travel expenses. It is unknown if the respective companies will be able to recover funds from Parks eventually. But if not, it will be an expensive lesson to better confirm account details before granting special privileges and benefits which could lead to computing power being exploited by crypto miners.
Despite using multiple ways to launder his earnings from cryptocurrency and mounting unpaid bills, the investigative authorities traced it back to Parks, arresting himon April 13th.
Cryptojacking, as the word implies, means hijacking systems to mine cryptocurrencies. Earlier forms of cryptojacking involved infecting user's systems unknowingly, using CPUs and GPUs to mine cryptocurrencies unbeknownst to the victims. There were also Chrome extensions which, unknown to its users, used the hijacked coputers computers to mine cryptocurrency without the owner's knowledge. Google delisted these extensions eventually.
Despite a few companies' efforts to deter cryptojacking, some manage to take advantage, such as Parks. Though the names of the server providers aren't given in the official account, other sources indicate that the servers are located in Redmond and Seattle, both in the State of Washington and home to Microsoft and Amazon's Cloud Computing centers.
Cryptojacking has been a nuisance throughout the years, whether it targets Tesla's cloud computers or personal NAS. However, cases like this indicate the relevant authorities will work with multiple departments to investigate, arrest, and indict the involved parties.
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HPE begins to ship made-in-India servers on large scale – DIGITIMES
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HPE begins to ship made-in-India servers on large scale - DIGITIMES
The 50 Coolest Software-Defined Storage Vendors: The 2024 Storage 100 – CRN
As part of CRNs 2024 Storage 100, here are 50 vendors bringing software capabilities, services and cloud connectivity to storage technology.
The base of nearly any storage system is hardware. But look closely at the hardware, and a distinct pattern appears: The hardware is likely to be an industry-standard server with industry-standard processors, industry-standard storage media and industry-standard memory.
The real value of storage systems, with few exceptions, lies in their software, not their hardware. Software is where the services provided by storage systemsthe ability to store and manage and protect primary and secondary datais provided. For this reason, storage system vendors typically have much larger software engineering teams than they do teams focused on hardware. Software teams define the value of storage.
For this reason, the list of the 50 coolest software-defined storage vendors includes companies ranging from the smallest providers to the likes of NetApp and Dell. They are well-recognized as hardware vendors. However, the list also includes providers of cloud storage where the end customers may not even touch hardware. All these companies are united by the fact that software does indeed define the storage.
As part of CRNs 2024 Storage 100, here are 50 vendors bringing software capabilities, services and cloud connectivity to storage technology.
Advanced Computer & Network Corp.
Gene Leyzarovich
President, CEO
AC&NC provides a wide range of data storage, data protection and data management for NAS, SAN, cloud and hyper-converged infrastructure deployments, as well as storage expansion, servers, switches and adapters to build complete systems. The company also pairs its all-flash and hybrid systems with third-party offerings such as CyberFortress to add data protection and security.
Amax Information Technologies
Jean Shih
President
Amax is a vertically integrated infrastructure manufacture with a focus on server, workstation and storage technologies under its own brand and on an OEM basis. Amax, which in late 2023 held its IPO on the Taiwan Stock Exchange, last year expanded its capabilities with new liquid and immersion cooling technology and the latest Nvidia GPUs.
Broadcom
Hock Tan
President, CEO
As if Broadcom was already not a big enough developer of storage technologiesthanks to multiple acquisitions it produces a wide range of storage adapters, controllers, ICs, and storage networking equipmentthe company in 2023 became a leader in software-defined storage technology with its massive acquisition of VMware from former parent company Dell Technologies.
Cloudian
Michael Tso
Co-Founder, CEO
Cloudian specializes in the development of Amazon S3-compatible object storage systems aimed at managing the complicated unstructured data requirements of a wide range of businesses. It does so via its HyperStore object storage platform, as well as its HyperStore File Services for capacity-intensive, less frequently used files. The company also offers observability and analytics and load-balancing technologies.
Croit
Martin Verges
CEO
Croit develops storage software appliances based on the open-source Red Hat Ceph technology to provide unified, software-defined, scale-out storage that works with block, file and object formats at a low cost per Gigabyte. The company late last year also started providing storage software appliances using the Intel DAOS technology to provide low-latency storage for high-performance environments.
Ctera Networks
Oded Nagel
CEO
Ctera provides technology for secure file services via a platform that manages enterprises file storage, control and governance requirements. The Ctera Enterprise File Services Platform unifies endpoint, branch office and cloud file services via a cloud-native global file system to enable multi-cloud data management with full control over data residency, security and edge-to-cloud acceleration.
DataCore
Dave Zabrowski
CEO
Datacore is one of the pioneers in software-defined storage, offering its storage technology in software-only form for use with customers own hardware platforms. The company most recently extended its software-defined object storage capabilities to the edge via its Agile Containerized Deployments and introduced SANsymphony Adaptive Data Placement for automatic tiering.
DDN
Alex Bouzari
Chairman, Co-Founder, CEO
DDN, the worlds largest privately held storage vendor, develops a comprehensive portfolio of storage systems targeting data-intensive workflows across on-premises and cloud infrastructures for use cases in oil and gas, supercomputing, AI, financial services, manufacturing, telecom and more. DDN in November unveiled DDN Infinia, which provides multitenancy, containerization and performance aimed primarily at accelerated computing for generative AI.
Dell Technologies
Michael Dell
Founder, Chairman, CEO
Dell remains the worlds largest storage vendor thanks to multiple acquisitions, but it is not resting on its laurels. The company is plunging head-first into as-a-service and subscription storage via its Dell Apex portfolio with elastic file, block and backup storage services. The companys PowerScale storage systems in November were validated on Nvidia DGX SuperPod for AI storage.
Hewlett Packard Enterprise
Antonio Neri
President, CEO
HPE has been the second-largest storage vendor for years, primarily on the strength of its HPE Alletra portfolio. Alletra is the center of its HPE GreenLake cloud and as-a-service offerings, including moves in early 2024 to introduce HPE GreenLake services for block storage and file storage. The company in November also unveiled a collaboration with Nvidia for GenAI.
Hitachi Vantara
Sheila Rohra
CEO
Hitachi Vantara, which in 2017 was formed by the combination of Hitachi Data Systems storage and data center infrastructure, Hitachi Insight IoT, and Pentaho big data businesses, reorganized again last November to focus on its block, file, object, mainframe, and software-defined storage and hybrid cloud-centric data infrastructure services portfolios. The company also has a leading storage virtualization technology.
Huawei
Zhengfei Ren
Director, CEO
China-based Huawei remains one of the worlds largest producers of storage systems despite having virtually no U.S. market share due to concerns about alleged China government ties. Huawei late 2023 introduced two new all-flash arrays, including the OceanStor Pacific 9920 scale-out array with up to 768-TB capacity in 2U, and the OceanStor Dorado 2100 all-flash active-active NAS system.
IBM
Arvind Krishna
Chairman, CEO
IBM develops a wide range of storage hardware, software and software-defined storage aimed at general storage, AI, hybrid cloud and data resilience requirements, much of which starting last year has been integrated with open source Ceph technologies from IBMs Red Hat acquisition. The company has most recently added several AI-focused storage systems to its line card.
Icedrive
James Bressington
Founder, CEO
IceDrive is a developer of cloud storage designed to look as if attached to a PC. The company provides Web-based, desktop and mobile apps for sharing and collaborating on a customers stored data. Its encrypted cloud storage uses the twofish algorithm, which the company says is more secure than AES.
Impossible Cloud
Kai Wawrzinek
Co-Founder, CEO
Impossible Cloud develops a decentralized cloud storage architecture built on a global network of enterprise-grade data centers. The company says that its architecture provides secure storage for big data, data backups and archives at a lower cost than hyperscalers can offer. With its S3 API compatibility, it integrates with a wide range of cloud storage applications.
Infinidat
Phil Bullinger
CEO
Infinidat develops enterprise-grade storage technology for AIOps and DevOps, data storage, cyber resiliency, data protection and recovery, business continuity and sovereign cloud storage. All of the companys storage capabilities are based on the same fundamental technology foundation that offers high availability, high performance, and low total cost of ownership at multi-petabyte scale.
Ionir
Jacob Cherian
CEO
Ionir develops a Kubernetes-native storage and data management platform the company says adopts to technology changes and evolving customer requirements without the need for forklift upgrades. Its technology lets businesses run any applications wherever and whenever needed without the need to worry about whether the data is there or not.
iXsystems
Mike Lauth
Co-Founder, CEO
iXsystems develops the open-source storage technology behind TrueNAS, which with over 15 million downloads is the worlds most deployed NAS technology, the company says. The TrueNAS platform is based on the ZFS file system, which provides scale-up and scale-out unified storage. iXsystems is a profitable, self-funded company with no outside investors.
Lenovo
Yuanqing Yang
Chairman, CEO
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The 50 Coolest Software-Defined Storage Vendors: The 2024 Storage 100 - CRN
Civo introduces Cloud GPU powered by Nvidia for high-demand workloads – IT Brief Australia
Cloud computing company Civo has unveiled its latest offering, the Cloud GPU. This comprises a range of services powered by Nvidia GPUs that support workloads such as machine learning, large language models, and graphics rendering.
The Cloud GPU is intended to support high-demand workloads and is immediately available from the Civo dashboard. Users will be able to harness Nvidia's cutting-edge technology with access to NVIDIA A100 40GB, NVIDIA A100 80GB and NVIDIA L40S GPUs for both computing and Kubernetes. Additionally, NVIDIA H100s are now available for reservation.
Beyond leveraging the raw computational power of the GPUs, which includes over 312 TFLOPS of FP16 performance, 1,248 Tensor cores and 80GB of HBM2e memory, users will enjoy the ease of integration. With Civo's plug-and-play adaptability, these powerful processing units can be seamlessly integrated into existing infrastructures.
Civo has also focussed on sustainability in their new product offering. Through a partnership with Deep Green, users may opt to run their cloud GPU workloads on Deep Green's servers. These servers utilise the excess heat generated by data centres, distributing this free heat to various community initiatives like heating swimming pools. Civo's commitment to sustainability extends to its refusal to charge premium pricing for sustainable solutions.
Deep Green operates by immersing servers in mineral oil to capture the heat that is generated during operation. This heat is then transferred through a heat exchanger to provide hot water. In Exmouth, Devon, when deployed on-site, these servers share the reclaimed heat with a public swimming pool, thereby reducing the establishment's energy bill and dependence on fossil fuels.
Speaking on the new offering, Mark Boost, CEO of Civo, expressed enthusiasm for the integration of advanced technology into the Civo stack. He said, "With gold-standard NVIDIA GPUs, we are giving our users the high-performance tools they need to power today's demanding cloud workloads, whether training the next LLM or rendering a complex 3D model."
Boost highlighted the company's commitment to fair pricing for these services, acknowledging challenging economic conditions and reinforcing his conviction that organisations should not be barred from the AI revolution due to prohibitive infrastructure costs.
The CEO also underscored the importance of sustainability in Civo's vision: "Sustainability is at the heart of Civo's future as a cloud provider. By reducing our emissions and making it easy for our customers to do the same, we're hoping to take a firm step towards a more sustainable future. Cloud doesn't have to come at a cost to the planet. By funding innovative solutions, we can build a cloud-native landscape that's suitable for the future of the planet."
Civo will discuss its cloud GPU offering and other services at an upcoming event in Tampa, Florida, called Civo Navigate Local.
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Civo introduces Cloud GPU powered by Nvidia for high-demand workloads - IT Brief Australia
Apple to Introduce On-Device AI with iOS 18, Bypassing Cloud Servers – elblog.pl
Apple is poised to reshape the smartphone experience with iOS 18, which is expected to unveil a series of groundbreaking features dedicated to on-device artificial intelligence. As reported by expert journalist Mark Gurman, the upcoming software update is set against the backdrop of the WWDC24 event, where the tech giant traditionally announces its latest operating system iterations.
The narrative of Apples unwavering commitment to user privacy and device security takes a new leap forward with iOS 18. A highlight of the new update is the introduction of AI capabilities that are processed locally on iPhones, without the dependency on external cloud servers. This strategic move ensures enhanced protection for users sensitive personal data and positions Apples AI as a distinct qualifier within the industry.
Insiders anticipate that the new generative AI functions will enrich a plethora of applications such as the iPhone Spotlight search tool, Siri voice assistant, Safari web browser, and various native apps like Shortcuts, Apple Music, Messages, Health, Numbers, Pages, and Keynote. Siri is expected to gain more advanced cognition to handle complex queries, while Messages might feature predictive text enhancements.
While all signs suggest that Apple is not aiming for a direct counterpart to the likes of ChatGPT within iOS 18, speculation around a potential built-in chatbot based on proprietary or third-party collaboration cannot be entirely ruled out. The tech titan has reportedly been in discussions with various AI leaders, including Google, OpenAI, and Baidu, hinting at a future foray into cloud-based AI functionalities as well. Supply chain analysts such as Ming-Chi Kuo and Jeff Pu have hinted at Apples substantial investments in specialized AI server hardware, signaling that Apple is gearing up to be a formidable contender in the generative AI space.
Current Market Trends: The integration of on-device AI in mobile operating systems aligns with the current trend toward enhancing user privacy and data security. Major tech companies are increasingly focusing on processing sensitive information locally to address privacy concerns, regulatory pressures, and growing user demand for secure data handling. On-device AI also reflects the trend of providing users with instant and reliable services that do not require a persistent internet connection.
Companies like Google and Apple have been making significant strides in edge computing, where computation is performed on local devices rather than in a centralized cloud-based infrastructure. This shift is driven by advancements in hardware, such as the development of more powerful and energy-efficient processors capable of handling complex AI tasks directly on smartphones.
Forecasts: As AI technology continues to rapidly evolve, it is forecasted that more sophisticated AI and machine learning capabilities will become standard features in mobile operating systems. These advancements will likely foster new applications in areas such as augmented reality (AR), real-time language translation, and personalized recommendations. Additionally, the market may see an increasing number of partnerships between AI technology providers and smartphone manufacturers.
Key Challenges and Controversies: One of the key challenges associated with this shift towards on-device AI is maintaining the delicate balance between user privacy and the functionality of AI services. Although data may be secure on the device, the potential limitations in computational power compared to cloud servers might affect the performance and scope of AI services.
Another challenge is Apples ability to continue to innovate in AI without compromising its stance on privacy. As competitors may offer more advanced AI features through cloud-based services, Apple needs to ensure its on-device solutions can compete effectively in terms of ability and user experience.
Concerns about potential biases in AI algorithms and the ethical implications of AI decision-making also persist. As AI becomes more ingrained in consumers daily lives, controversies regarding these biases and the transparency of AI systems will likely intensify.
Advantages and Disadvantages: The advantages of implementing on-device AI include:
Enhanced Privacy: User data is processed locally, reducing the risk of unauthorized access during transmission to and from cloud servers. Reduced Latency: AI tasks processed on the device can provide quicker responses and a smoother user experience. Offline Availability: On-device processing allows AI features to be available without an internet connection.
The disadvantages, on the other hand, might include:
Limited Processing Power: Even though smartphones are powerful, they lack the processing capacity of cloud servers, which could limit AI capabilities. Energy Consumption: Intensive AI tasks may lead to increased battery drain, affecting the devices overall battery life.
For more insights and developments, you can visit the official Apple website at the following link.
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Apple to Introduce On-Device AI with iOS 18, Bypassing Cloud Servers - elblog.pl
As Apple’s artificial intelligence plans take shape, Google announces its own custom AI chips for cloud servers and more – iMore
While a lot of the talk right now is about Apple's AI plans for the future, including an expected big unveiling of new features at WWDC 2024, Google has today announced its own AI initiative. But this isn't about bringing AI features to future Pixel phones Google has already done a pretty good job of that to date but rather about setting the company up to be at the forefront of server-based AI technology for years to come.
The announcement, Google's new Arm-based AI chip called Axion, is designed to ensure that the company is at the forefront of AI processing power in data centers everywhere. Initially used to support Google's own services like Google Earth and YouTube ads, the chips will eventually roll out as options for Google Cloud business customers later this year.
Google says that its Axion CPU promises around 30% better performance than so-called general-purpose Arm chips and 50% more than Intels existing options. That's a lot of big talk, and right now we wouldn't put it past Google to be on the money here. The company is very much ahead of Apple and much of the competition in the world of not only AI but server-based computing and services. And the Axion CPU could prove to be a real boost for the future.
Announced via a blog post, Google Axion is built on years of work that has seen the company launch five generations of Tensor Processing Units (TPU) since 2015. Axion is Google's first custom Arm-based CPU, with the company saying that they deliver "industry-leading performance and energy efficiency."
Google's blog post gets into the weeds about how Axion is put together, and it's clear that there is plenty of excitement for what the custom silicon can do.
"Built using the Arm Neoverse V2 CPU, Axion processors deliver giant leaps in performance for general-purpose workloads like web and app servers, containerized microservices, open-source databases, in-memory caches, data analytics engines, media processing, CPU-based AI training and inferencing, and more," Google explains.
But much like Apple, Google says that performance isn't the only reason these new AI chips are important it's all about saving the planet, too.
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"Beyond performance, customers want to operate more efficiently and meet their sustainability goals," Google explains. "Google Cloud data centers are already 1.5X more efficient than the industry average and deliver 3X more computing power with the same amount of electrical power compared with five years ago. Weve set ambitious goals to operate our offices, campuses, and data centers on carbon-free energy, 24/7, and offer tools to help you report on carbon emissions. With Axion processors, customers can optimize for even more energy-efficiency."
The rest of the blog post includes plenty of testimonies from companies that use Google's cloud services and seem very excited about what Axion can do for them.
Google is putting its money where its mouth is, too. Axion chips are ready to go now, offering improved performance and up to 60% better energy efficiency. As a result, the company has "already started deploying Google services like BigTable, Spanner, BigQuery, Blobstore, Pub/Sub, Google Earth Engine, and the YouTube Ads platform on current generation Arm-based servers and plan to deploy and scale these services and more on Axion soon."
As for Apple, it's thought to be talking to Google about using its generative AI technology in iOS 18 and beyond, so it's possible iPhone users could still benefit from Google's big announcement in some small way, too.
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As Apple's artificial intelligence plans take shape, Google announces its own custom AI chips for cloud servers and more - iMore
Amazon, Google Quietly Tamp Down Generative AI Expectations – The Information
In the past year, major technology firms have championed generative artificial intelligence as the next big thing, boosting the stock market to new highs. But behind the scenes, representatives of major cloud providers and other firms that sell the technology are tempering expectations with their salespeople, saying the hype about the technology has gotten ahead of what it can actually do for customers at a reasonable price.
Several executives, product managers and salespeople at the major cloud providers, such as Microsoft, Amazon Web Services and Google, also privately said most of their customers are being cautious or deliberate about increasing spending on new AI services, given the high price of running the software, its shortcomings in terms of accuracy and the difficulty of determining how much value theyll get out of it.
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Amazon, Google Quietly Tamp Down Generative AI Expectations - The Information
Leading The Cloud Revolution: Establishes "COE For IBM Power Virtual Servers – ANI News
ANI | Updated: Mar 16, 2024 13:02 IST
PNN Mumbai (Maharashtra) [India], March 16: ROX Hi-Tech, a customer-centric IT solutions provider, establishes a Center of Excellence focused on IBM Power Virtual Servers within its Cloud Business marking a pivotal stride in its digital transformation solutions portfolio. With an additional 10,000 square feet of dedicated space and fortified by an augmentation of 80 highly skilled professionals, the COE is poised to emerge as a formidable nucleus for cultivating specialized knowledge and proficiencies in the deployment, administration, and optimization of IBM Power Virtual Servers in the cloud.
This substantial investment stands as a testament to ROX's unwavering commitment to delivering premium services and bespoke solutions tailored to the distinctive needs of its clientele within the IBM Power Virtual Servers cloud domain. This strategic initiative not only underscores ROX's steadfast dedication to fostering innovation but also signifies its unwavering pursuit of expertise and adherence to best practices in the dynamic landscape of cloud technology. Moreover, it demonstrates the company's unwavering dedication to delivering premium services and bespoke solutions tailored to its clients' specific requirements in this niche area. Time Commenting on this, Jim Rakesh Managing Director, ROX Hi Tech Limited said, "We are excited to reaffirm our commitment to advancing cloud technology, particularly IBM Power Virtual Servers. Our expanded Center of Excellence underscores dedication to providing superior solutions. Focused on IBM Power Virtual Servers, leveraging IBM's technology, we deliver resilient cloud-based server solutions. Strengthening this center reflects our intent to capitalize on market demand for IBM Power Virtual Serverscloud services. We eagerly anticipate adding 80 skilled professionals who share our ethos. Together, we will lead the IBM Power Virtual Servers cloud space, delivering transformative solutions that drive value and enable digital transformation for our clients. This strategic move reflects our dedication to meeting evolving market demands and seizing potential opportunities." (ADVERTORIAL DISCLAIMER: The above press release has been provided by PNN. ANI will not be responsible in any way for the content of the same)
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Leading The Cloud Revolution: Establishes "COE For IBM Power Virtual Servers - ANI News