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New NVIDIA DGX System Software program and Infrastructure Options Supercharge Enterprise AI

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At GTC at this time, NVIDIA unveiled quite a few updates to its DGX portfolio to energy new breakthroughs in enterprise AI improvement.

NVIDIA DGX H100 techniques are actually obtainable for order. These infrastructure constructing blocks assist NVIDIA’s full-stack enterprise AI options.

With 32 petaflops of efficiency at FP8 precision, NVIDIA DGX H100 delivers a leap in effectivity for enterprise AI improvement. It gives 3x decrease complete value of possession and three.5x extra power effectivity in comparison with the earlier era.

New NVIDIA Base Command software program, which simplifies and speeds AI improvement, powers each DGX system — from single nodes to DGX SuperPODs.

Additionally unveiled was NVIDIA DGX BasePOD — the evolution of DGX POD — which makes enterprise data-center AI deployments less complicated and sooner for IT groups to amass, deploy and handle.

Most of the world’s AI leaders are constructing technological breakthroughs — from self-driving vehicles to voice assistants — utilizing NVIDIA DGX techniques and software program, and the tempo of innovation just isn’t slowing down.

New NVIDIA Base Command Options

NVIDIA Base Command offers enterprise-grade orchestration and cluster administration, and it now includes a full software program stack for maximizing AI developer productiveness, IT manageability and workload efficiency.

The workflow administration options of Base Command now embody assist for on-premises DGX SuperPOD environments, enabling companies to achieve centralized management of AI improvement tasks with simplified collaboration for venture groups, and built-in monitoring and reporting dashboards.

Base Command works with the NVIDIA AI Enterprise software program suite, which is now included with each DGX system. The NVIDIA AI software program permits end-to-end AI improvement and deployment with supported AI and information science instruments, optimized frameworks and pretrained fashions.

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Moreover, it gives enterprise-workflow administration and MLOps integrations with DGX-Prepared Software program suppliers Domino Knowledge Lab, Run.ai, Weights & Biases and NVIDIA Inception member Rescale. It additionally consists of libraries that optimize and speed up compute, storage and community infrastructure — whereas guaranteeing maximized system uptime, safety and reliability.

New DGX BasePOD Reference Structure

DGX BasePOD offers a reference structure for DGX techniques that includes design finest practices for integrating compute, networking, storage and software program.

Clients are already utilizing NVIDIA DGX POD to energy the event of a broad vary of enterprise functions. DGX BasePOD builds on the success of DGX POD with new business options concentrating on the largest AI alternatives, together with pure language processing, healthcare and life sciences, and fraud detection.

Delivered as totally built-in, ready-to-deploy choices by way of the NVIDIA Associate Community, DGX BasePOD options vary in measurement, from two to a whole lot of DGX techniques, with licensed high-performance storage from NVIDIA DGX storage expertise companions together with DDN, Dell, NetApp, Pure Storage, VAST Knowledge and WEKA.

Leaders Energy AI Breakthroughs With DGX Methods

Enterprises world wide select NVIDIA DGX techniques to energy their most superior AI workloads. Among the many AI innovators creating mission-critical AI capabilities on DGX A100 techniques:

  • ML analysis and product lab Adept is constructing an AI teammate powered by a big language mannequin prototyped on NVIDIA DGX Foundry, after which scaled with NVIDIA A100 GPUs and NVIDIA Megatron on Oracle Cloud Infrastructure.
  • Hyundai Motor Group is utilizing a 40-node DGX SuperPOD to discover hyperscale AI workloads.
  • Telecom firm KT is creating a LLM with round 40 billion parameters for quite a lot of Korean-language functions, together with the GiGA Genie good speaker, utilizing the NVIDIA NeMo Megatron framework, NVIDIA DGX SuperPOD and NVIDIA Base Command software program.
  • The College of Wisconsin-Madison is rapidly bringing AI to medical imaging gadgets utilizing NVIDIA DGX techniques with the Flywheel analysis platform and the NVIDIA Clara healthcare utility framework. Utilizing the NVIDIA Federated Studying Software Runtime Surroundings, or NVIDIA FLARE, in collaboration with different hospitals, the college is securely coaching AI fashions on DGX techniques for medical imaging, annotation and classification.
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Study extra concerning the AI breakthroughs powered by NVIDIA DGX techniques by watching NVIDIA founder and CEO Jensen Huang’s GTC keynote in replay. And be part of the GTC session, “Designing Your AI Middle of Excellence,” with Charlie Boyle, vp of DGX techniques at NVIDIA.

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