NVIDIA – Digital IT News

Cisco Hypershield Reimagines Data Centers and Cloud Security

Taylor Graham — Fri, 19 Apr 2024 13:00:15 +0000

Cisco introduced a groundbreaking strategy to safeguard data centers and clouds, adapting to the growing requirements imposed by the AI revolution on IT infrastructure. Cisco is redesigning the way we harness and protect AI and other modern workloads through the industry-leading Cisco Hypershield. This remarkable advancement shifts the balance in favor of defenders, complementing recent initiatives to advance AI infrastructure using Cisco’s ethernet switching, silicon, and compute portfolio.

Cisco Hypershield protects applications, devices and data across public and private data centers, clouds and physical locations – anywhere customers need it. Designed and built with AI in mind from the start, Hypershield enables organizations to achieve security outcomes beyond what has been possible with humans alone.

“Cisco Hypershield is one of the most significant security innovations in our history,” said Chuck Robbins, Cisco Chair and CEO. “With our data advantage and strength in security, infrastructure and observability platforms, Cisco is uniquely positioned to help our customers harness the power of AI.”

Hypershield is a revolutionary new security architecture. It’s built with technology originally developed for hyperscale public clouds and is now available for enterprise IT teams of all sizes. More a fabric than a fence, Hypershield enables security enforcement to be placed everywhere it needs to be. Every application service in the datacenter. Every Kubernetes cluster in the public cloud. Every container and virtual machine (VM). It can even turn every network port into a high-performance security enforcement point, bringing completely new security capabilities not just to clouds, but to the data center, on a factory floor, or a hospital imaging room. This new technology blocks application exploits in minutes and stops lateral movement in its tracks.

“AI has the potential to empower the world’s 8 billion people to have the same impact as 80 billion. With this abundance, we must reimagine the role of the data center – how data centers are connected, secured, operated and scaled,” said Jeetu Patel, Executive Vice President and General Manager for Security and Collaboration at Cisco. “The power of Cisco Hypershield is that it can put security anywhere you need it – in software, in a server, or in the future even in a network switch. When you have a distributed system that could include hundreds of thousands of enforcement points, simplified management is mission critical. And we need to be orders-of-magnitude more autonomous, at an orders-of-magnitude lower cost.”

Security enforcement with Hypershield happens at three different layers: in software, in virtual machines, and in network and compute servers and appliances, leveraging the same powerful hardware accelerators that are used extensively in high-performance computing and hyperscale public clouds.

Hypershield was built on three key pillars:

AI-Native: Built and designed from the start to be autonomous and predictive, Hypershield manages itself once it earns trust, making a hyper-distributed approach at scale possible.
Cloud-Native: Hypershield is built on open source eBPF, the default mechanism for connecting and protecting cloud-native workloads in the hyperscale cloud. Cisco acquired the leading provider of eBPF for enterprises, Isovalent, earlier this month.
Hyper-Distributed: Cisco is completely reimagining how traditional network security works by embedding advanced security controls into servers and the network fabric itself. Hypershield spans all clouds and leverages hardware acceleration like Data Processing Units (DPU) to analyze and respond to anomalies in application and network behavior. It shifts security closer to the workloads that need protection.

Cisco, with its industry-leading expertise in networking, security and extensive partner ecosystem, together with NVIDIA, is committed to building and optimizing AI-native security solutions to protect and scale the data centers of tomorrow. This collaboration includes leveraging the NVIDIA Morpheus cybersecurity AI framework for accelerated network anomaly detection, as well as NVIDIA NIM microservices for powering custom security AI assistants for the enterprise. NVIDIA’s class of converged accelerators combine the power of GPU and DPU computing, to augment Cisco Hypershield with robust security from cloud to edge.

“Enterprises across all industries are seeking the security that can protect them against ever expanding cyber threats,” said Kevin Deierling, Senior Vice President of Networking at NVIDIA. “Together, Cisco and NVIDIA are leveraging the power of AI to deliver powerful, incredibly secure data center infrastructure that will enable enterprises to transform their businesses and benefit customers everywhere.”

As a revolutionary new security architecture, Hypershield is solving three key customer challenges in defending against today’s sophisticated threat landscape:

Distributed Exploit Protection: Attackers are adept at weaponizing newly published vulnerabilities faster than defenders can patch. With defenders seeing nearly 100 new vulnerabilities every day, according to Cisco Talos Threat Intelligence, this can lead to catastrophic results. Hypershield delivers protection in minutes by automatically testing and deploying compensating controls into the distributed fabric of enforcement points.
Autonomous Segmentation: Once an attacker is in the network, segmentation is key to stopping their lateral movement. Hypershield perpetually observes, auto-reasons and re-evaluates existing policies to autonomously segment the network, solving this in large and complex environments.
Self-qualifying Upgrades: Hypershield automates the incredibly laborious and time-consuming process of testing and deploying upgrades once they are ready, leveraging a dual data plane. This completely new software architecture allows software upgrades and policy changes to be placed in a digital twin that tests updates using the customer’s unique combination of traffic, policies and features, then applying those updates with zero downtime.

Built into the Security Cloud, Cisco’s unified, AI-driven, cross-domain security platform, Cisco Hypershield is expected to be Generally Available in August 2024. With Cisco’s recent acquisition of Splunk, customers will gain unparalleled visibility and insights across their entire digital footprint for unprecedented security protection.

“AI is not just a force for good but also a tool used for nefarious purposes, allowing hackers to reverse engineer patches and create exploits in record time. Cisco looks to address an AI enabled problem with an AI solution as Cisco Hypershield aims to tip the scales back in favor of the defender by shielding new vulnerabilities against exploit in minutes – rather than the days, weeks or even months as we wait for patches to actually get deployed,” said Frank Dickson, Group Vice President, Security & Trust at IDC. “With the number of vulnerabilities ever increasing and the time for attackers to exploit them at scale ever decreasing, it’s clear that patching alone can’t keep up. Tools like Hypershield are necessary to combat an increasingly clever malicious cyber adversary.”

“Cisco Hypershield takes aim at the complex security challenges of modern, AI-scale data centers. Cisco’s vision of a self-managing fabric that seamlessly integrates from the network to the endpoint will help redefine what’s possible for security at scale,” said Zeus Kerravala, Founder and Principal Analyst of ZK Research. “For instance, this level of visibility and control across a hyper-distributed environment prevents lateral movement of attackers, enabled through a unique approach to segmentation that’s autonomous and highly effective. While this may seem fantastical, the time is right given recent AI advances combined with the maturity of cloud-native technologies like eBPF.”

“At AHEAD we believe cybersecurity should be integrated into everything we do. Bolted-on security is more expensive and less effective,” said Steven Aiello, Field Chief Information Security Officer at AHEAD. “Cisco Hypershield ensures that cyber protections are included into the fabric of the enterprise. Distributed Exploit Protection will be a massive win for blue teams – legacy synthetic patching was primarily limited to edge devices, allowing lateral movement once an attacker breached the perimeter. It’s a great day for cyber-defenders!”

To learn more about Cisco Hypershield, visit the website here.

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Fleet Management Partners NVIDIA and Allxon Deploy AI at the Industrial Edge

Taylor Graham — Tue, 23 Jan 2024 19:15:09 +0000

Allxon announced a partnership with NVIDIA to facilitate the management of fleets featuring NVIDIA Jetson Orin-powered industrial edge solutions. This collaboration integrates Allxon’s fleet management platform with NVIDIA Metropolis Microservices for Jetson, offering a contemporary microservices-oriented application stack and simplifying the developer workflow.

As one of the preferred third-party fleet management partners for NVIDIA, Allxon has taken early steps in integrating the NVIDIA Video Storage Toolkit into its Allxon Plugin Station. Driving the edge AI industry to greater heights, Allxon’s Fleet Provisioning ensures the efficient deployment of thousands of edge AI devices, while its BSP OTA Updates facilitate seamless software stack updates within Metropolis Microservices for Jetson, including the upcoming NVIDIA JetPack 6 releases.

Allxon’s In-Band and Out-Of-Band remote device management services give NVIDIA Jetson developers a powerful fleet management platform that runs seamlessly with Metropolis Microservices out of the box, saving significant development time and cutting costs.

NVIDIA Metropolis Microservices for Jetson helps developers modernize their app stack, streamline development and deployment, and future-proof their apps with the ability to bring the latest Gen AI capabilities to any customer through simple API calls. Its application microservices include: video storage and management, pre-built Vision AI inference pipelines, system monitoring, and cloud connectivity. Its platform microservices include system monitoring, IoT gateways, and cloud connectivity services to help with solution maintenance. And its powerful reference workflows help developers get started immediately.

“We believe strongly in the value and problem-solving capabilities of bringing AI to the edge,” said Alex Liu, CEO of Allxon. “We are excited to work with NVIDIA to integrate our platform with Metropolis Microservices for Jetson to accelerate the pace of bringing powerful new applications to market and drive edge AI adoption.”

Fleet Management with Metropolis Microservices: A Powerful Combination

Combining Allxon’s remote edge management with Metropolis Microservices for Jetson will help developers for the first time bring truly enterprise-class, cloud-native solutions to market faster. The powerful SaaS integration accelerates the provisioning and deployment of remote NVIDIA Jetson edge AI system-on-modules at scale by using Allxon Remote Monitoring and Management (RMM) Solutions and BSP OTA Updates, all simply managed through a single unified Allxon Portal.

Learn more about Allxon’s platform and NVIDIA Metropolis Microservices for Jetson AI Fleet Management at the Edge here.

KIX13 NVIDIA DGX H100-Ready Data Center Announced by Digital Realty

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KIX13 NVIDIA DGX H100-Ready Data Center Announced by Digital Realty

Digital IT News Editors — Mon, 17 Jul 2023 17:10:05 +0000

Digital Realty announces KIX13, its newest data center in Osaka, Japan, has been certified NVIDIA DGX H100-ready as part of the NVIDIA DGX-Ready Data Center program.

KIX13 was awarded to the accreditation for its ability to provide a dedicated, robust, and resilient environment optimized for intensive computing systems deployments at scale from Digital Realty.

DGX H100, the fourth generation of NVIDIA’s purpose-built artificial intelligence (AI) infrastructure, is the foundation of NVIDIA DGX SuperPOD that provides the computational power necessary to train today’s state-of-the-art deep learning AI models and fuel innovation well into the future. With it, enterprise customers can devise full-stack solutions that accelerate artificial intelligence (AI) deployments, allowing for data localization while meeting the global coverage, capacity and connectivity needs that come with deploying AI at scale.

AI is swiftly becoming a driving force behind modern technologies across multiple industries with applications in areas such as optimization, preventive maintenance, virtual assistants, fraud detection, and anomaly detection. Expected to help solve the world’s most challenging problems, the success of AI deployments is dependent on data centers that can provide the high-performance cooling, layout and connectivity required for AI to operate highly effectively.

As modern enterprises adopt AI, leaders in the technology are increasingly seeking access to real-time data as a core strategy to enable instantaneous changes and decision-making. Digital Realty’s highly connected PlatformDIGITAL® community enables customers to access vast data volumes, allowing them to confidently run AI workloads in an NVIDIA-accelerated environment to innovate and solve the world’s most challenging computational problems, while overcoming Data Gravity barriers. With ServiceFabric, Digital Realty’s global service orchestration platform, customers can streamline management of their hybrid IT infrastructure while gaining access to a growing, open community of partners to which they can connect and utilize for managed services – all on a single, centralized platform.

Thanks to the scale and sophistication of its offerings, broad customer base, and significant technical resources, Digital Realty also provides the precision-engineered power and cooling digital infrastructure that can support the high-power computing needs of AI. At higher workload densities, liquid cooling becomes an attractive option for AI deployments for its more efficient heat dissipation. Digital Realty’s rich pedigree in data center engineering allows Digital Realty to provision a future-ready data center environment that can handle the evolution from air to liquid cooling. This also contributes to Digital Realty’s and its customers’ progress towards reducing their Scope 1 and 2 carbon emissions by 68% and Scope 3 emissions by 24%, by 2030.

The KIX13 certification marks another milestone in Digital Realty’s and NVIDIA’s collaboration. Digital Realty was one of the first data center providers to be awarded the “DGX-Ready Data Center” certification at the launch of the program in 2019 and currently operates DGX-Ready data centers in more than 20 markets worldwide, including six sites across Asia Pacific.

“Organizations looking to implement enterprise AI are investing in accelerated computing infrastructure – including hardware and software purpose-built for AI – to deploy their models into production quickly,” says Charlie Boyle, Vice President, DGX systems, NVIDIA. “With the certification of Digital Realty’s new KIX13 facility in the DGX-ready data center program, customers have access to a flexible, simple option for deploying the world’s leading AI platform.”

“Digital Realty understands the impact AI will have on the way businesses drive digital transformation in the years to come. However, business breakthroughs made possible with AI can only be realized if enterprises are able to integrate the technology into their operations, and that is where we come in,” says Chris Sharp, Chief Technology Officer, Digital Realty. “With Digital Realty’s KIX13 DGX-Ready Data Center certification, we remain focused on delivering a meeting place that allows our customers to accelerate innovation and growth.”

He added, “AI is poised to have a dramatic impact on digital transformation initiatives, and it is critical to have a foundation in place to remove the Data Gravity barriers that inhibit innovation. PlatformDIGITAL® provides an ideal location for the data aggregation, staging, analytics, and management that are critical for optimizing data exchange and maintaining data compliance.”

Learn more about Digital Realty HERE and about NVIDIA, HERE.

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Aetina Solutions Powered by NVIDIA Enable Smoother, Easier AI Adoption

Taylor Graham — Wed, 29 Mar 2023 10:03:19 +0000

Aetina showcases its latest solutions that leverage the NVIDIA® Jetson platform for edge AI and robotics, the NVIDIA AI Enterprise software suite, and NVIDIA GPUs. With the solutions powered by NVIDIA AI, Aetina can help developers create various types of vertical AI and enable smoother, easier AI adoption.

MXM Modules Powered by the NVIDIA RTX Family

Aetina offers MXM modules powered by NVIDIA Ampere architecture GPUs from the NVIDIA RTX family. These MXM modules include M3A4500-WP, M3A2000-VY, and M3A1000-PP, which deliver outstanding AI performance and are suitable for any AI systems that involve real-time data analytics. They support CUDA Compute version 8.6, OpenGL 4.6, Vulkan 1.2, DirectX 12 Ultimate, Shader Model 7.0, as well as Windows 10/11 64-bit and Linux 64-bit operating systems.

For the MXM modules, Aetina provides optional conformal coating service in case of harsh system environments, and ensures the 5-year availability of the modules as well as exclusive technical support to help its clients reduce maintenance costs for their long-term AI projects.

Systems and Platforms Built with NVIDIA Jetson

As an Elite member of the NVIDIA Partner Network, Aetina offers many edge computing systems and platforms—small-sized embedded computers—that support different NVIDIA Jetson system-on-modules (SoMs), including the Jetson AGX Orin, Jetson Orin NX, and Jetson Orin Nano. Aetina’s newly released NVIDIA Jetson-based embedded computer models—AIB-SO21/31, AIB-SN31/41, AIE-KO21/31, AIE-KN31/41, AIB-MO22/32, AIB-MN32/42, AIE-KO22/32, and AIE-KN32/42—support either an Orin NX SoM or an Orin Nano SoM. These systems and platforms are compatible with several kinds of sensors and hardware expansions, enabling them to be easily integrated into larger AI-driven systems.

In addition to its standard models, Aetina provides customization services for carrier boards, development kits, and chassis with on-demand I/O requirements and thermal designs that fit into special or harsh environments.

Solutions Based on NVIDIA AI Enterprise Suite and NVIDIA Fleet Command

Aetina helps system integrators bring AI to business owners by leveraging the NVIDIA AI Enterprise software suite and the NVIDIA Fleet Command platform. With these NVIDIA software tools, system integrators can develop AI applications faster, from AI model training and fine-tuning to deploying on edge devices. The integrators can also find pretrained AI models for specific verticals from the NVIDIA NGC catalog, which helps streamline their development processes.

Aetina’s x86 AI platforms—AIS-D422-A1 and AIP-FQ47-B1 from the Aetina SuperEdge and MegaEdge family, respectively—feature a powerful CPU and are compatible with standard graphic cards for computing power upgrades. The platforms, paired with the NVIDIA A2 Tensor Core GPU and the NVIDIA RTX A4500 graphics card, are NVIDIA-Certified Systems, ideal for use with NVIDIA software tools to run AI training and inference with better performance.

Aetina’s NVIDIA-Certified System Tested with NVIDIA L4 Tensor Core GPU

Aetina’s SuperEdge AIS-D422-A1—an AI platform ideal for AI model training—is a listed member of NVIDIA-Certified Systems 3.0 that has been tested with the new NVIDIA L4 Tensor Core GPU at an industrial edge level. The platform also supports NVIDIA T4 Tensor Core GPU and NVIDIA A2 Tensor Core GPU as an NVIDIA-Certified System to provide the highest level of performance and reliability.

The AIS-D422-A1 and the NVIDIA L4 Tensor Core GPU together enable developers to accelerate AI inference for different applications on NVIDIA Triton Inference Server, improving the AI analytic accuracy and efficiency to make AI adoption more valuable for business owners.

To learn more about Aetina, visit the website HERE.

Supermicro Announces Liquid-Cooled AI Development Platform Powered by NVIDIA

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Supermicro Announces Liquid-Cooled AI Development Platform Powered by NVIDIA

Taylor Graham — Tue, 28 Mar 2023 20:38:39 +0000

Supermicro, Inc. is announcing the first in a line of powerful yet quiet and power-efficient NVIDIA-accelerated AI Development platforms which gives information professionals and developers the most powerful technology available today at their deskside.

The new AI development platform, the SYS-751GE-TNRT-NV1, is an application-optimized system that excels when developing and running AI-based software. This innovative system gives developers and users a complete HPC and AI resource for department workloads. In addition, this powerful system can support a small team of users running training, inference, and analytics workloads simultaneously.

The self-contained liquid-cooling feature addresses the thermal design power needs of the four NVIDIA® A100 Tensor Core GPUs and the two 4^th Gen Intel Xeon Scalable CPUs to enable full performance while improving the overall system’s efficiency and enabling quiet (approximately 30dB) operation in an office environment. In addition, this system is designed to accommodate high-performing CPUs and GPUs, making it ideal for AI/DL/ML and HPC applications. The system can reside in an office environment or be rack-mounted when installed in a data center environment, simplifying IT management.

“Supermicro is taking its leading AI server-based technology and creating the most powerful AI and HPC development system in the industry, enabling a wide range of AI development and workloads to be run at a deskside,” said Charles Liang, president and CEO of Supermicro. “This exciting new GPU system will also have a completely built-in liquid cooling system, allowing leading-edge CPUs and GPUs to run at maximum performance without additional infrastructure costs. We constantly listen to our customers’ requirements to understand their IT needs and deliver the most optimized products anywhere.”

This AI solution includes a three-year subscription license for NVIDIA AI Enterprise, the software layer of the NVIDIA AI platform, including NVIDIA AI Workflows, frameworks, pre-trained models, and infrastructure optimization. This comprehensive solution reduces the time for developers and users to become productive by having all software components pre-loaded onto the system.

“Advances in AI demand deskside systems built for the performance, speed, and energy efficiency today’s customers need,” said Ian Buck, vice president of hyperscale and high performance computing at NVIDIA. “Supermicro’s NVIDIA-powered AI development platform provides users the ability to run the world’s most demanding workloads right at their desktop.”

At the heart of the Supermicro AI development platform are four NVIDIA A100 80GB GPUs which enterprises can use to accelerate a wide range of AI and HPC workloads. This system includes dual 4^th Gen Intel® Xeon® Gold 6444Y processors running at a base clock rate of 3.6GHz, 512GB of DDR5 memory, six of 1.92TB NVMe storage devices, and an NVIDIA ConnectX®-6 DX 25GbE network adapter installed.

A self-contained liquid cooling solution is included to cool this high-end AI development platform while running whisper quiet. Upon receiving the system, users simply need to hook the system up to a power source and the network. This new AI development platform can be easily relocated as workloads shift without modifying rack-level infrastructure.

The Supermicro AI development platform, the SYS-751GE-TNRT-NV1, is currently available. To learn more about the Liquid Cooled AI Development Platform click HERE.

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Userful Invited to Join the NVIDIA Inception Program

Taylor Graham — Wed, 01 Mar 2023 17:06:23 +0000

Userful Corporation announced it has been invited to join the NVIDIA Inception program. NVIDIA Inception empowers leading startups in revolutionizing change across the globe through technology.

Inception will allow Userful to leverage NVIDIA’s most advanced features in graphics, visualization, and cutting-edge AI. As a member, Userful will have access to collaborate with NVIDIA’s R&D leaders to continue innovating its software-defined platform for mission-critical and core operations. Userful will also have full access to the NVIDIA DeepStream software development kit (SDK) team to support the development and deployment of vision AI and low-latency streaming technologies.

“We are pleased to be accepted into NVIDIA Inception,” said Reza Razavi, CTO of Userful. “The relationship will enable Userful to scale faster and further explore the capabilities of integrating artificial intelligence and machine learning into Userful’s software-defined AV-over-IP platform.”

Leveraging the NVIDIA DeepStream SDK, Userful will enhance its future-proof platform solution, amplify competitive advantage, increase customers’ ROI, and lower total cost of ownership.

NVIDIA Inception, which consists of a global network of over 13,000 startups, helps startups evolve faster through access to pioneering technology and NVIDIA experts, opportunities to connect with venture capitalists, and co-marketing support to heighten brand visibility. As Userful prepares for its next round of financing, such validation helps pave the way for Userful’s ongoing capitalization and growth. Through Inception, Userful will also have access to the best technical tools and the latest resources.

To learn more about Userful or the NVIDIA Inception Program, go to the website here.

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Paperspace and NVIDIA Bring Accelerated Computing to Developers

Taylor Graham — Thu, 16 Feb 2023 01:56:40 +0000

Paperspace announced that it has joined the NVIDIA Cloud Service Provider partner program’s highest tier. This program will enable Paperspace to offer its customers access to state-of-the-art NVIDIA GPUs, including the recently announced NVIDIA H100 Tensor Core GPU, through the Gradient ML platform.

“Foundation models” such as Stable Diffusion and GPT-3 are exploding in popularity and are beginning to power all sorts of groundbreaking applications like ChatGPT and Midjourney. The process of training of these models, adapting them to new applications, and serving them in production, is an extremely computationally expensive and complex task. The company behind Stable Diffusion is spending $50M to develop its models known for their uncanny ability to generate realistic-looking media.

Paperspace’s software simplifies the process of leveraging GPU compute power for building and scaling applications, providing a seamless developer experience without the need for specialized knowledge in DevOps and infrastructure. This powerful combination of NVIDIA hardware and Paperspace software makes adopting accelerated computing both simple and highly scalable. As part of this partner program, Paperspace will be able to offer its developer community easy access to NVIDIA’s advanced GPU compute capabilities, enabling them to build and deploy more powerful AI applications.

“We are excited to work with NVIDIA to deliver on the promise of removing complexity from the AI development process,” said Paperspace’s COO Daniel Kobran. “The cloud-based Gradient ML software platform, backed by NVIDIA GPUs, gives any individual or team access to almost unlimited computing power for any AI project. We can’t wait to see what our users will build on top of this powerful combination of software and infrastructure.”

“Paperspace’s collaboration with NVIDIA can help anyone creating AI-enabled products and services across industries,” said Matt McGrigg, director of global business development for cloud partners at NVIDIA. “The process of building and deploying AI-enabled applications at scale is simplified with access to the latest NVIDIA GPUs through Paperspace’s software, unlocking the power of accelerated computing for organizations of all sizes.”

For more information on Paperspace and NVIDIA, visit our websites here.

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VMware vSphere 8 Support From NVIDIA AI Enterprise

Taylor Graham — Fri, 02 Sep 2022 21:52:37 +0000

NVIDIA announced a new data center solution with Dell Technologies designed for the era of AI, bringing state-of-the-art AI training, AI inference, data processing, data science and zero-trust security capabilities to enterprises worldwide.

The solution combines Dell PowerEdge servers with NVIDIA BlueField^® DPUs, NVIDIA GPUs and NVIDIA AI Enterprise software, and is optimized for VMware vSphere 8 enterprise workload platform, also announced.

Enterprises can experience the combination of these technologies on NVIDIA LaunchPad, a hands-on lab program that provides access to hardware and software for end-to-end workflows in AI, data science and more.

“AI and zero-trust security are powerful forces driving the world’s enterprises to rearchitect their data centers as computing and networking workloads are skyrocketing,” said Manuvir Das, head of Enterprise Computing at NVIDIA. “VMware vSphere 8 offloads, accelerates, isolates and better secures data center infrastructure services onto the NVIDIA BlueField DPU, and frees the computing resources to process the intelligence factories of the world’s enterprises.”

“Dell and NVIDIA’s long tradition of collaborating on next-generation GPU-accelerated data centers has already enabled massive breakthroughs,” said Travis Vigil, senior vice president, portfolio and product management, Infrastructure Solutions Group, Dell Technologies. “Now, through a solution that brings NVIDIA’s powerful BlueField DPUs along with NVIDIA GPUs to our PowerEdge server platform, our continued collaboration will offer customers performance and security capabilities to help organizations solve some of the world’s greatest challenges.”

Running on BlueField, vSphere 8 supercharges the performance of workloads. By offloading to the DPU, customers can accelerate networking and security services, and save CPU cycles while preserving performance and meeting the throughput and latency needs of modern distributed workloads. The combination increases performance and efficiency, simplifies operations and boosts infrastructure security for data center, edge, cloud and hybrid environments.

“Distributed modern applications with AI/ML and analytics are driving the transformation of data center architecture by leveraging accelerators and providing better security as part of the mainstream application infrastructure,” said Krish Prasad, senior vice president and general manager, VMware Cloud Platform Business, VMware. “Dell PowerEdge servers built on the latest VMware vSphere 8 innovations, and accelerated by NVIDIA BlueField DPUs, provide next-generation performance and efficiency for mission-critical enterprise cloud applications while better protecting enterprises from lateral threats across multi-cloud environments.”

NVIDIA AI Enterprise Support for VMware vSphere 8 Coming Soon
As NVIDIA-Certified Systems, the Dell PowerEdge servers will be able to run the NVIDIA and VMware AI-Ready Enterprise Platform, a solution that features the NVIDIA AI Enterprise software suite and VMware vSphere.

A comprehensive, cloud-native suite of AI and data analytics software, NVIDIA AI Enterprise is optimized to enable organizations to use AI on familiar infrastructure. It is certified to deploy anywhere — from the enterprise data center to the public cloud — and includes global enterprise support to keep AI projects on track.

An upcoming release of NVIDIA AI Enterprise will bring support for new capabilities introduced in VMware vSphere 8, including the ability to support larger multi-GPU workloads, optimize resources and easily manage the GPU lifecycle.

Availability
With NVIDIA LaunchPad, enterprises can get access to a free hands-on lab of VMware vSphere 8 running on NVIDIA BlueField-2 DPUs.

Dell servers with vSphere 8 on NVIDIA BlueField-2 DPU will be available later in the year. NVIDIA AI Enterprise with VMware vSphere is now available and can be experienced on NVIDIA LaunchPad hands-on labs.

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NVIDIA DGX-Ready Data Center Program Delivering Leading Technology

Taylor Graham — Thu, 01 Sep 2022 03:04:09 +0000

AUBix LLC announced that that it has been named a certified North American colocation provider for the NVIDIA DGX-Ready Data Center program, which helps global businesses and organizations access modern data center facilities to build out their artificial intelligence (AI) initiatives and infrastructure while simplifying deployment. The AUBix mission-critical, multi-tenant data center is located in Auburn, Alabama and expected to be an economic catalyst for the regions and communities it serves.

NVIDIA DGX systems are purpose-built to optimize AI workloads. AI is rapidly becoming an integral component of solving difficult business challenges, including improving customer service, optimizing supply chains, extracting business intelligence, and designing leading-edge products and services. NVIDIA DGX systems provide the most powerful and complete enterprise AI platform for developing and deploying these innovative applications.

“The addition of NVIDIA DGX systems to AUBix’s leading-edge data center will further our mission of bringing technology parity to rural communities and support their ability to compete in global marketplaces,” said Andrew Albrecht, co-founder and CEO of AUBix. “As we’ve seen, data is the lifeblood of business, education and research, and the next iteration of information technology is AI. We expect the availability of this leading-edge technology to benefit industry sectors including healthcare, aerospace, automotive, cybersecurity, digital manufacturing, academic research, military, state organizations and a wide array of Alabama-based industries.”

AUBix enables digital transformation for businesses through the interconnection of multiple high-speed national and global fiber carriers, as well as deep technology expertise, helping local organizations compete globally. AUBix delivers access to public and private cloud computing resources, dense compute and storage infrastructure, as well as cached content to end users.

With AUBix located close to the end user, data processing and services provide a platform for edge computing that allows organizations to reduce latency and improve the customer experience. Turnkey compliance with industry standards reduces costs for businesses and other organizations, which can also reduce capital costs for technology.

“AI is essential to business transformation, and NVIDIA DGX-Ready Data Center providers make it simple for enterprises to use the world’s leading AI infrastructure,” said Tony Paikeday, senior director of product marketing for DGX systems at NVIDIA. “With NVIDIA DGX systems hosted at AUBix, innovative enterprises across the region can get business value from AI faster, without having to focus on the technical requirements of specialized infrastructure deployments.”

AUBix offers 22,000 square feet of available data center space and more than 4 megawatts of customer power capacity across two data halls with redundant power and cooling. The initial 40,000-square-foot buildout includes customer office space, conference rooms, and tenant equipment storage. The six-acre site can be expanded to 100,000+ square feet, providing greater than 12 megawatts total and representing an economic impact of approximately $300 million of investment.

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Supermicro Servers and Workstations with Leading NVIDIA Omniverse Enterprise

Taylor Graham — Fri, 25 Mar 2022 22:28:55 +0000

Super Micro Computer, Inc. (SMCI) announces support for NVIDIA’s latest software and hardware releases. Supermicro servers and workstations are uniquely matched to meet the needs of innovative professionals who require the latest technology to collaborate in real-time and solve complex business issues.

Supermicro NVIDIA-Certified servers and workstations are validated to deliver the GPU-accelerated infrastructure that can handle a diverse range of accelerated workloads. The latest professional GPU, the NVIDIA RTX A5500, enables enterprises to set up an advanced work environment in NVIDIA Omniverse Enterprise, where globally dispersed teams can accelerate their workflows and seamlessly collaborate on their designs and product concepts in a shared virtual world with real-time collaboration and true-to-reality simulation.

“Supermicro’s range of servers and workstations are designed to take advantage of the NVIDIA AI Enterprise software suite and Omniverse Enterprise platform, enabling professionals to seamlessly collaborate and work better together,” said Charles Liang, president and CEO, Supermicro. “We are excited about the future products that NVIDIA will bring to market, and our commitment to bring the best and most complete solutions to market first, as we have consistently done for the past 28 years.”

NVIDIA also announced NVIDIA OVX, a computing system designed to meet the requirements of large-scale digital twins. The OVX reference architecture combines carefully selected CPUs and GPUs with optimized networking and storage, allowing organizations to create real-time, interactive, computer-generated representations of physical environments. The NVIDIA OVX reference architecture is available on Supermicro SYS-420GP-TNR servers with NVIDIA A40 GPUs.

“With teams dispersed across the world, professionals need a shared virtual world to bring their designs and simulations to life seamlessly,” stated Bob Pette, vice president of professional visualization at NVIDIA. “Working with Supermicro, we are bringing real-time collaboration, complex problem solving, and physically accurate building capabilities to designers, engineers, and creators so they can connect and create beyond imagination.”

Supermicro plans to offer several GPU-optimized systems with the upcoming NVIDIA H100 Tensor Core GPU based on the NVIDIA Hopper architecture, the successor to the NVIDIA A100. These include a new NVIDIA HGX H100 configuration with eight H100 GPUs per system. With several new architectural innovations over previous GPU systems, HPC and AI users will see dramatic performance improvements for a wide range of applications that are accelerated with the new NVIDIA H100 GPU-based servers. In addition, Supermicro’s just announced Universal GPU servers will allow customers to choose from and install the best CPUs and GPUs for their specific application requirements while maintaining a consistent management interface.

The NVIDIA Enterprise AI software suite allows organizations of all sizes to realize the power of AI, even if no AI expertise exists in the organization. The software is optimized to streamline AI development and deployment across many operating systems and frameworks. For example, Supermicro has the largest portfolios of NVIDIA-Certified servers and NVIDIA maintains a list of these servers that have been rigorously tested to run NVIDIA AI Enterprise.

NVIDIA Omniverse Enterprise is an end-to-end, 3D collaboration and true-to-reality simulation platform optimized by NVIDIA to run on NVIDIA-Certified Systems. Omniverse Enterprise fundamentally transforms complex 3D workflows, enabling teams to achieve new heights of 3D production quality, infinite iterations at no opportunity cost, and faster time-to-market. Supermicro offers a range of workstations and servers such as the A+ SuperWorkstation 5014A-TT, the SYS-540A-TR workstation, and the GPU SuperServer SYS-420GP-TNR that are optimized for NVIDIA Omniverse Enterprise This combination of servers and workstations excels when running in NVIDIA Omniverse Enterprise environments. Supermicro is now authorized to bundle NVIDIA Omniverse Enterprise licenses with Supermicro workstations and servers, indicating Supermicro’s expertise in implementing IT solutions.

Learn more about how Supermicro is working closely with NVIDIA.

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