AI deployments thrive on velocity, knowledge and scale. That’s why NVIDIA is increasing NVIDIA-Licensed Programs to incorporate enterprise storage certification — for streamlined AI manufacturing facility deployments within the enterprise with accelerated computing, networking, software program and storage.
As enterprises construct AI factories, entry to high-quality knowledge is crucial to make sure optimum efficiency and reliability for AI fashions. The brand new NVIDIA-Licensed Storage program introduced as we speak on the NVIDIA GTC international AI convention validates that enterprise storage methods meet stringent efficiency and scalability knowledge necessities for AI and high-performance computing workloads.
Main enterprise knowledge platform and storage suppliers are already onboard, guaranteeing companies have trusted choices from day one. These embrace DDN, Dell Applied sciences, Hewlett Packard Enterprise, Hitachi Vantara, IBM, NetApp, Nutanix, Pure Storage, VAST Knowledge and WEKA.
Constructing Blocks for a New Class of Enterprise Infrastructure
At GTC, NVIDIA additionally introduced the NVIDIA AI Knowledge Platform, a customizable reference design to construct a brand new class of enterprise infrastructure for demanding agentic AI workloads.
The NVIDIA-Licensed Storage designation is a prerequisite for companions creating agentic AI infrastructure options constructed on the NVIDIA AI Knowledge Platform. Every of those NVIDIA-Licensed Storage companions will ship custom-made AI knowledge platforms, in collaboration with NVIDIA, that may harness enterprise knowledge to motive and reply to advanced queries.
NVIDIA-Licensed was created greater than 4 years in the past because the trade’s first certification program devoted to tuning and optimizing AI methods to make sure optimum efficiency, manageability and scalability. Every NVIDIA-Licensed system is rigorously examined and validated to ship enterprise-grade AI efficiency.
There are actually 50+ companions offering 500+ NVIDIA-Licensed methods, serving to enterprises scale back time, price and complexity by giving them a wide array of performance-optimized methods to energy their accelerated computing workloads.
NVIDIA Enterprise Reference Architectures (RAs) have been launched final fall to supply companions with AI infrastructure finest practices and configuration steering for deploying NVIDIA-Licensed servers, NVIDIA Spectrum-X networking and NVIDIA AI Enterprise software program.
Options based mostly on NVIDIA Enterprise RAs can be found from the world’s main methods suppliers to cut back the time, price and complexity of enterprise AI deployments. Enterprise RAs are actually accessible for a variety of NVIDIA Hopper and NVIDIA Blackwell platforms, together with NVIDIA HGX B200 methods and the brand new NVIDIA RTX PRO 6000 Blackwell Server Version GPU.
These NVIDIA applied sciences and accomplice options are the constructing blocks for enterprise AI factories, representing a brand new class of enterprise infrastructure for high-performance AI deployments at scale.
Enterprise AI Wants Scalable Storage
Because the tempo of AI innovation and adoption accelerates, safe and dependable entry to high-quality enterprise knowledge is changing into extra essential than ever. Knowledge is the gas for the AI manufacturing facility. With enterprise knowledge creation projected to achieve 317 zettabytes yearly by 2028*, AI workloads require storage architectures constructed to deal with huge, unstructured and multimodal datasets.
NVIDIA’s expanded storage certification program is designed to fulfill this want and assist enterprises construct AI factories with a basis of high-performance, dependable knowledge storage options. This system consists of efficiency testing in addition to validation that accomplice storage methods adhere to design finest practices, optimizing efficiency and scalability for enterprise AI workloads.
NVIDIA-Licensed Storage can be integrated into NVIDIA Enterprise RAs, offering enterprise-grade knowledge storage for AI manufacturing facility deployments with full-stack options from international methods companions.
Licensed Storage for Each Deployment
This certification builds on current NVIDIA DGX methods and NVIDIA Cloud Companion (NCP) storage packages, increasing the information ecosystem for AI infrastructure.
These storage certification packages are aligned with their deployment fashions and architectures:
- NVIDIA DGX BasePOD and DGX SuperPOD Storage Certification — designed for enterprise AI manufacturing facility deployments with NVIDIA DGX methods.
- NCP Storage Certification — designed for large-scale NCP Reference Structure AI manufacturing facility deployments with cloud suppliers.
- NVIDIA-Licensed Storage Certification — designed for enterprise AI manufacturing facility deployments with NVIDIA-Licensed servers accessible from international companions, based mostly on NVIDIA Enterprise RA tips.
With this framework, organizations of all sizes — from cloud hyperscalers to enterprises — can construct AI factories that course of huge quantities of information, prepare fashions sooner and drive extra correct, dependable AI outcomes.
Be taught extra about how NVIDIA-Licensed Programs ship seamless, high-speed efficiency and attend these associated periods at GTC:
*Supply: IDC, Worldwide IDC World DataSphere Forecast, 2024–2028: AI In every single place, However Upsurge in Knowledge Will Take Time, doc #US52076424, Might 2024
