Artificial system

NVIDIA and Partners Target Artificial Intelligence at GTC

The new products announced at the NVIDIA GTC conference had a common goal: to accelerate AI and extend its use to new application areas, including digital twins, simulations, and 3D collaboration.

The NVIDIA GTC conference held last week was a gathering place for all things artificial intelligence. Dubbed “the developer conference for the age of AI,” NVIDIA and its ecosystem of tech cohorts have made numerous announcements of products, solutions, and partnerships focused on accelerating AI workloads and the expansion of AI into new areas of application.

For starters, NVIDIA announced major updates to its NVIDIA AI platform, a suite of software for workloads including speech, recommender system, hyperscale inference, and more. The technology has been adopted by global industry leaders such as Amazon, Microsoft and Snap.

The company also announced the NVIDIA AI Accelerated program, which helps ensure the performance and reliability of AI applications developed by NVIDIA software and solution partners. The program increases visibility into a wide range of proven AI-accelerated applications, enabling enterprise customers to confidently deploy on the NVIDIA AI platform. Adobe, Red Hat and VMware are among more than 100 participating partners at launch.

See also: NVIDIA’s new Grace processor enables giant AI

Other NVIDIA news from the conference include:

  • Announcing the fourth-generation NVIDIA DGX system, the world’s first AI platform to be built with the new NVIDIA H100 Tensor Core GPUs. DGX H100 systems are the building blocks of the next-generation NVIDIA DGX POD and NVIDIA DGX SuperPOD AI infrastructure platforms. The latest DGX SuperPOD architecture features a new NVIDIA NVLink switch system that can connect up to 32 nodes with a total of 256 H100 GPUs.
  • Unveiling more than 60 updates to its CUDA-X collection of libraries, tools, and technologies across a wide range of disciplines that dramatically improve the performance of the CUDA software computing platform. Built on CUDA, NVIDIA’s platforms for artificial intelligence, HPC, and graphics include software development kits and tools that are at the heart of improving performance and accelerating algorithms in multiple domains. ‘application. SDKs make it easy for developers, researchers, and data scientists to harness the power of NVIDIA’s advanced platform, tackling the immense complexity at the intersection of computing, algorithms, and Science.
  • Introducing its next-generation accelerated computing platform with the NVIDIA Hopper architecture. The company also announced its first Hopper-based GPU, the NVIDIA H100, featuring 80 billion transistors. The accelerator has features such as a Transformer Engine and a highly scalable NVIDIA NVLink interconnect to advance gigantic artificial intelligence language models, deep recommender systems, genomics, and complex digital twins.
  • The launch of NVIDIA OVX, a computing system designed to power large-scale digital twins. NVIDIA OVX is purpose-built to leverage complex digital twin simulations that will run within NVIDIA Omniverse, a real-time, physically accurate global simulation and 3D design collaboration platform. The OVX system combines high-performance GPU-accelerated compute, graphics, and artificial intelligence with high-speed storage access, low-latency networking, and precise synchronization to deliver the performance required to create digital twins with a real precision. OVX will be used to simulate complex digital twins to model entire buildings, factories, cities, and even the world.

Kroger and NVIDIA team up

Also at the conference, The Kroger Co. and NVIDIA announced a strategic collaboration to reimagine the shopping experience using AI-enabled apps and services. The two companies will build a state-of-the-art artificial intelligence lab and demo center to expand Kroger’s freshness initiatives, improve shipping logistics, and create a better in-store shopping experience through digital twin simulations – virtual models designed to accurately reflect store layouts and other operations. .

The lab will be located at Kroger’s corporate headquarters in Cincinnati. It will use the NVIDIA AI Enterprise software suite for retail, NVIDIA Omniverse Enterprise to create digital twin simulations, and NVIDIA ReOpt to explore logistics optimizations. The initial installation will use nine NVIDIA DGX A100 systems, NVIDIA InfiniBand networking, and NVIDIA RTX workstations to gather actionable insights from the grocer’s approximately 2,800 stores in the United States.

Additionally, companies will explore how NVIDIA technology can:

  • Identify early indicators of freshness deterioration with computer vision and analysis.
  • Use dynamic routing for last mile delivery to ensure freshness from farm to plate
  • Optimize store efficiency and processes with digital twin store simulation

Other artificial intelligence news from the conference

VAST data announced support for a next-generation storage platform concept called Ceres. Powered by VAST’s Universal Storage data platform, Ceres is built on new hardware technologies, including NVIDIA BlueField DPUs (data processing units) and rules-based hyperscale flash drives that improve performance. performance, simplify maintenance and reduce data center costs.

NMS announced its next-generation flash and hybrid data platforms for NVIDIA DGX POD and DGX SuperPODAI, analytics and deep learning computing infrastructure. DDN A3I The AI400X2 system delivers over 90 GB/s and 3 million IOPS to an NVIDIA DGX A100 system. Available in 250TB and 500TB fully NVMe usable capacity and with the ability to scale by orders of magnitude, the DDN AI400X2 is designed to be a high-performance building block for AI infrastructures.

Lenovo announced that it has extended its collaboration with NVIDIA to provide industrial 3D simulation and design collaboration capabilities by providing the infrastructure required to power NVIDIA OVX, a computing system designed to run large-scale Omniverse digital twins. Collaboration leverages Lenovo workstations and infrastructure to deliver real-time remote virtual work capabilities enabled by NVIDIA Omniverse Enterprise and runs on the latest NVIDIA GPUs.

Syslogic announced its newest AI Rugged computer based on an NVIDIA Jetson AGX Xavier. Syslogic Rugged computers are among the most rugged systems on the market and are used in agricultural robots, agricultural and construction machinery and special vehicles. The new AI Rugged Computer RPC RSL A3 was designed from the ground up for machines and autonomous vehicles. With its powerful NVIDIA Jetson AGX Xavier industrial module, the on-board computer becomes the computer vision unit and handles tasks such as object recognition, environmental perception or intelligent control of machines and autonomous vehicles . The robust computer can process and evaluate data from several sensors simultaneously and practically in real time.

Execute: ai announced details of a completed proof of concept (POC) that enables multi-cloud GPU flexibility for enterprises using NVIDIA GPUs in the cloud. NVIDIA’s software suite includes Virtual Machine Images, or VMIs, which are optimized for NVIDIA GPUs running in clouds such as Amazon Web Services, Microsoft Azure, Google Cloud, and Oracle Cloud. Run:ai’s workload-aware orchestration ensures that each type of AI workload gets the right amount of compute resources when needed, and provides deep integration into NVIDIA GPUs to achieve optimal utilization of these resources. Run:ai software deployed on NVIDIA VMIs allows cloud customers to move AI workloads from one cloud to another, as well as use multiple clouds simultaneously for different AI workloads without any change of code.