Oracle Cloud Infrastructure First to Run NVIDIA AI Supercomputing Instances; Microsoft Azure, Google Cloud and Others to Host DGX Cloud Soon

GTCNVIDIA today announced NVIDIA DGX Cloud, an AI supercomputing service that gives enterprises immediate access to the infrastructure and software needed to train advanced models for generative AI and other groundbreaking applications.

DGX Cloud provides dedicated clusters of NVIDIA DGX AI supercomputing, paired with NVIDIA AI software. The service makes it possible for every enterprise to access its own AI supercomputer using a simple web browser, removing the complexity of acquiring, deploying and managing on-premises infrastructure.

Enterprises rent DGX Cloud clusters on a monthly basis, which ensures they can quickly and easily scale the development of large, multi-node training workloads without having to wait for accelerated computing resources that are often in high demand.

We are at the iPhone moment of AI. Startups are racing to build disruptive products and business models, and incumbents are looking to respond, said Jensen Huang, founder and CEO of NVIDIA. DGX Cloud gives customers instant access to NVIDIA AI supercomputing in global-scale clouds.

NVIDIA is partnering with leading cloud service providers to host DGX Cloud infrastructure, starting with Oracle Cloud Infrastructure (OCI). Its OCI Supercluster provides a purpose-built RDMA network, bare-metal compute and high-performance local and block storage that can scale to superclusters of over 32,000 GPUs.

Microsoft Azure is expected to begin hosting DGX Cloud next quarter, and the service will soon expand to Google Cloud and more.

Industry Titans Adopt NVIDIA DGX Cloud to Speed SuccessAmgen, one of the worlds leading biotechnology companies, insurance technology leader CCC Intelligent Solutions (CCC), and digital-business-platform provider ServiceNow are among the first AI pioneers using DGX Cloud.

Amgen is using DGX Cloud with NVIDIA BioNeMo large language model software to accelerate drug discovery, including NVIDIA AI Enterprise software, which includes NVIDIA RAPIDS data science acceleration libraries.

With NVIDIA DGX Cloud and NVIDIA BioNeMo, our researchers are able to focus on deeper biology instead of having to deal with AI infrastructure and set up ML engineering, said Peter Grandsard, executive director of Research, Biologics Therapeutic Discovery, Center for Research Acceleration by Digital Innovation at Amgen. The powerful computing and multi-node capabilities of DGX Cloud have enabled us to achieve 3x faster training of protein LLMs with BioNeMo and up to 100x faster post-training analysis with NVIDIA RAPIDS relative to alternative platforms.

CCC, a leading cloud platform for the property and casualty insurance economy, is using DGX Cloud to speed and scale the development and training of its AI models. These models power the companys innovative auto claims resolution solutions, helping to accelerate the intelligent automation of the industry and improve the claims experience for millions of business users and their consumers every day.

ServiceNow is using DGX Cloud with on-premises NVIDIA DGX supercomputers for flexible, scalable hybrid-cloud AI supercomputing that helps power its AI research on large language models, code generation, and causal analysis. ServiceNow also co-stewards the BigCode project, a responsible open-science generative AI initiative, which is trained on the Megatron-LM framework from NVIDIA.

Open a Browser to NVIDIA AI Supercomputing and SoftwareEnterprises manage and monitor DGX Cloud training workloads using NVIDIA Base Command Platform software, which provides a seamless user experience across DGX Cloud, as well as on-premises NVIDIA DGX supercomputers. Using Base Command Platform, customers can match their workloads to the right amount and type of DGX infrastructure needed for each job.

DGX Cloud includes NVIDIA AI Enterprise, the software layer of the NVIDIA AI platform, which provides end-to-end AI frameworks and pretrained models to accelerate data science pipelines and streamline the development and deployment of production AI. New pretrained models, optimized frameworks and accelerated data science software libraries, available in NVIDIA AI Enterprise 3.1 released today, give developers an additional jump-start to their AI projects.

Each instance of DGX Cloud features eight NVIDIA H100 or A100 80GB Tensor Core GPUs for a total of 640GB of GPU memory per node. A high-performance, low-latency fabric built with NVIDIA Networking ensures workloads can scale across clusters of interconnected systems, allowing multiple instances to act as one massive GPU to meet the performance requirements of advanced AI training. High-performance storage is integrated into DGX Cloud to provide a complete solution for AI supercomputing.

DGX Cloud features support from NVIDIA experts throughout the AI development pipeline. Customers can work directly with NVIDIA engineers to optimize their models and quickly resolve development challenges across a broad range of industry use cases.

AvailabilityDGX Cloud instances start at $36,999 per instance per month. Organizations can contact their NVIDIA Partner Network representative for additional details.

Watch Huang discuss NVIDIA DGX Cloud in his GTC keynote on demand, and tune in to the GTC panel with NVIDIA DGX Cloud pioneers.

See original here:
NVIDIA Launches DGX Cloud, Giving Every Enterprise Instant ... - NVIDIA Blog

F5 announced multi-cloud networking (MCN) capabilities to extend application and security services across one or more public clouds, hybrid deployments, native Kubernetes environments, and edge sites.

F5 Distributed Cloud Services are differentiated in providing connectivity and security at both the network and application layers. As an overlay across separate cloud provider offerings (including native cloud services), Distributed Cloud Services let F5 customers easily integrate network operations, application performance optimization and troubleshooting, and visibility through a single management console.

According to F5s just released 2023 State of Application Strategy (SOAS) Report, 85% of organizations operate distributed application deployments, spanning traditional and modern architectures and multiple hosting environments. However, these distributed deployments add operational complexity and cost, obscure visibility, and increase the surface area for potential cyberattacks.

F5 delivers a platform-based approach that is cloud-agnostic and purpose-built to meet the needs of traditional and modern appsall without increasing complexity or losing granular control and necessary visibility. Specifically, this introduction of Distributed Cloud App Connect and Distributed Cloud Network Connect unlocks enhanced MCN use cases.

Traditional network design and infrastructure models are unable to accommodate the demands of modern apps and the digital experiences they provide, largely because newer microservices-based apps rely on distributed Kubernetes cluster services and APIs, and are not constrained to a single cloud location or even a single cloud provider.

Per the 2023 SOAS Report, the top-rated multi-cloud challenges are managing the complexity of associated tools and APIs, applying consistent security across apps, and optimizing app performance. To properly address these challenges, a more comprehensive approach to secure MCN is requiredone that provides:

Secure app-to-app connectivity is obviously a goal for every digital organization, but how this is achieved has become increasingly important, said Michael Rau, SVP and GM, F5 Distributed Cloud Platform and Security Services. The proliferation of cloud and hybrid architectures has coincided with the rise of microservices and API-heavy distributed applicationsall of which contribute complexity and diminish visibility. Distributed Cloud Services greatly expand our ability to serve customers hybrid and multi-cloud use cases, providing unparalleled agility and security for global infrastructure and app environments.

F5 is uniquely positioned to deliver necessary enabling technologies for MCN by connecting and securing any app and any API anywhere, ensuring fast network-to-network and workload-to-workload connectivity across different cloud locations, data centers, hybrid environments, and enterprise edge sites.

In the year since the introduction of Distributed Cloud Services, F5 has continued to expand the capabilities delivered as SaaS and managed services, including the recent addition of Distributed Cloud App Infrastructure Protection. This announcement furthers the reach of Distributed Cloud Services through the following new SaaS offerings:

Distributed Cloud App Connect provides an integrated stack approach through a single console to combine comprehensive app networking with full app security, faster provisioning, and ease of use.

Distributed Cloud Network Connect makes it highly secure and simple to deploy connectivity across cloud locations and cloud providers.

Enterprises cloud strategies are evolving from multiple apps spread across multiple clouds to true multi-cloud architectures with distributed workloads. That will require cloud and network architects to design their multi-cloud networks to provide both network- and application-layer connectivity, said Zeus Kerravala, principal analyst, ZK Research. F5 has long been a leader in application networking, and their Distributed Cloud Services provide a fully integrated set of layer 37 services for securely connecting across clouds and workloads, even those deployed at the edge or branch office.

Our clients have begun embracing the concept of distributing workloads and entire applications across different cloud providers, as well as hybrid architectures that include data centers or edge locations, said Colin Williams, Business CTO, Networking & Security, Computacenter UK. With that strategy comes the challenge of reducing infrastructure complexity across multiple and varied environments, especially when connecting both networks and applications while maintaining consistent security and visibility. F5 Distributed Cloud Services provide easy-to-use SaaS-based multi-cloud networking to help our clients quickly and securely connect their distributed cloud instances and workloads.

The rest is here:
F5s multi-cloud networking capabilities simplify operations for ... - Help Net Security

By Yasin Ebrahim

Investing.com -- The Dow closed higher Monday, driven by improved sentiment in the banking sector after UBS agreed to buy struggling rival Credit Suisse. The rescue comes as investor attention shifts to the Federal Reserve's two-day meeting slated for Tuesday.

The Dow Jones Industrial Average gained 1.2%, or 382 points, the S&P 500 was up 0.9%, and Nasdaq Composite was up 0.4%.

UBS (NYSE:UBS), Switzerlands largest bank, agreed to buy Credit Suisse for $3.2 billion in an emergency rescue deal.

In a further boost to financial stability in Europe, European Central Bank President Christine Lagarde said the central bank was ready to respond as necessary to preserve eurozone stability.

The rescue deal for Credit Suisse (NYSE:CS) helped strengthen sentiment on banks, with regional banks including Fifth Third Bancorp (NASDAQ:FITB), Lincoln National Corporation (NYSE:LNC) and New York Community Bancorp (NYSE:NYCB) leading to the upside.

New York Community Bancorp jumped more than 31% as its subsidiary, Flagstar Bank, agreed to buy a large part of Signature Bank in a $2.7B deal following the banks recent collapse.

First Republic Bank (NYSE:FRC), however, wasnt among the gainers and plunged 47% after Standard&Poors cut the ailing banks creditworthiness deeper into junk territory amid ongoing liquidity concerns.

The downgrade comes just days after 11 banks pumped $30B into the regional bank. But S&P said the move is unlikely to solve the First Republics liquidity problems and warned another downgrade was possible.

Tech was pressured by a slide in Microsoft Corporation (NASDAQ:MSFT) and Amazon.com Inc (NASDAQ:AMZN), with the latter announcing 9,000 job cuts in its cloud hosting division Amazon Web Services.

A climb in U.S. Treasury yields also kept a lid on tech just ahead of the Feds two-day meeting, which kicks off on Tuesday.

At the conclusion of its two-day meeting Wednesday, the Fed is expected to hike rates by 0.25%, but much uncertainty remains about the path forward for further hikes in the wake of the turmoil in the banking sector.

Story continues

About 70% of traders expect a rate hike, but Goldman Sachs said it expected a pause at the March meeting this week because of stress in the banking system.

Energy stocks were also in the ascendency shrugging off a wobble in energy prices amid ongoing jitters that the banking crisis could hurt global growth and energy demand.

APA Corporation (NASDAQ:APA), Hess Corporation (NYSE:HES), and EQT Corporation (NYSE:EQT) led the gains in energy, up more than 2% on the day.

Oil prices have plunged despite the China demand boom given banking stress, recession fears, and an exodus of investor flows, Goldman Sachs after nudging down its Brent forecasts to $94 per barrel for 12 months ahead from $100 previously.

In other news, Virgin Orbit Holdings Inc (NASDAQ:VORB) is reportedly planning to file for bankruptcy should the commercial space company fail to secure funding, according to several media outlets. Its shares sank 19%.

Related Articles

Stock market today: Dow ends higher on UBS-Credit Suisse rescue; Fed meeting eyed

Credit Suisse AT1 bondholders consider possible legal action -law firm

Former director of Tesla Australia sentenced for insider trading

View post:
Stock market today: Dow ends higher on UBS-Credit Suisse rescue; Fed meeting eyed - Yahoo Finance

Networks / Cyber, Pentagon

WASHINGTON The Biden administrations National Cyber Strategy directly aligns with what a top Pentagon official said were dramatic efforts already underway at the Defense Department to revamp the militarys cyber posture.

The National Cyber Strategy challenges us to set the agenda on our terms to outpace our adversaries, DoD CIO John Sherman said in a statement to Breaking Defense this week. This vision directly aligns with the Departments cloud and software modernization efforts which aim to drive a resilient, zero-trust based cyber foundation in the cloud. Now is the time to drive the dramatic change necessary to make cyber threats far more difficult and far more costly for our adversaries.

The White House released its National Cyber Strategy earlier this month, outlining steps the government must take to secure the countrys digital future and defend its digital ecosystem against foreign adversaries like China and Russia. The strategy calls for rebalancing the responsibility of defensive cybersecurity to the most capable and best positioned actors in the US, essentially shifting it towards industry.

RELATED: National Cyber Strategy Seeks To Rebalance Cyber Responsibility Towards Industry

Thats especially true for the military, which relies on an army of private industry contractors, and Sherman told Breaking Defense that DoD recognizes the fundamental role it plays in collaborating with industry and, ultimately, the success of warfighters.

Our partners realize that protecting DoD information that resides within the defense industrial base (DIB) and cloud service providers is necessary to maintain the Departments edge over near-peer competitors, Sherman said. To that end, the Department has made it a priority to collaborate with and exchange information with our DIB and IT partners. Our DIB Cybersecurity Program [PDF] spearheads this enduring effort to ensure we are all equipped to meet evolving cybersecurity threats.

Beyond industry, the national strategy is also well aligned with DoDs own ongoing cloud and cybersecurity efforts, he said. The Pentagon in its fiscal 2024 request, released on Monday, asked for $13.5 billion in funding for its cyberspace activities. That includes increasing cybersecurity support to the DIB, funding five additional cyber mission force teams and operationalizing DoDs zero trust framework.

Under the zero-trust concept, no user is ever fully trusted to be on the network and is continuously validated through every stage. DoD released its zero-trust strategy last year, setting an ambitious timeline to achieve a targeted level of zero trust a set of minimal requirements DoD and its components need to achieve across its enterprise by FY27 followed by a more advanced level.

Gurpreet Bhatia, DoDs acting deputy chief information security officer, told Breaking Defense that the zero-trust approach will ensure a secure DoD information enterprise that enables data-informed decision-making, from the warfighter to our nations most senior leaders and that DoD is continuously addressing cybersecurity risks.

DoD components must meet those standards by FY27, and we continue to look toward industry leaders for potential solutions to accelerate the DoDs execution of its [zero trust] strategy, Bhatia said.

The department is also getting ready to award the first set of task orders under the Joint Warfighting Cloud Capability (JWCC) multi-vendor, multi-cloud contract. Under JWCC, four vendors Google, Microsoft, Oracle and Amazon Web Services will compete for individual task orders to build out DoDs key military cloud computing backbone.

RELATED: JWCC, Zero Trust, User Experience & A New Cyber Talent Strategy: DoD CIO Sets FY23 Priorities

Those task orders are in the pipeline,Sharon Woods, director of the Defense Information Systems Agencys Hosting and Compute Center, said on Tuesday. She added that the vendors will also get an opportunity to bid on secret-level offerings under JWCC in the coming weeks followed by top secret-level offerings in the summer.

Thats a capability we really dont have in the department, an enterprise top secret cloud environment, Woods said. You know, the intelligence community does, but the departmentis not able to leverage that contract and so that is one of those capability gaps that JWCC is meeting.

Deputy DoD CIO Lily Zeleke told Breaking Defense in a statement that through JWCC, DoDhas established a direct relationship with the commercial cloud vendors to deliver, and continuously improve, a modern, resilient computing platform.

Building on the commercial cloud platform, collaborative engagement with industry partners, academia, and other government agencies is delivering the secure components and software practices needed for protecting sensitive applications and data from advanced persistent cyber threats, Zeleke added.

Read more:
DoD driving dramatic change to outpace foes, line up with National Cyber Strategy - Breaking Defense