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AI is transforming industry functions in financial services, optimizing manufacturer supply chains, helping medical professionals deliver better patient outcomes and more. The IDC FutureScape: Top 10 Predictions for the Future of Intelligence Report (Dec. 5, 2022) notes that by 2026, 30 percent of Global 1000 (G1000) companies ranked as the world’s largest companies will extend investments in AI infrastructure to performance-intensive computing to solve the most complex problems using HPC-driven simulations to improve outcomes.
While many organizations understand the potential of AI, particularly generative AI, to transform their business and keep them competitive, the technology is still relatively unfamiliar to many IT and line-of-business stakeholders. This article describes how NVIDIA AI Enterprise can aid organizations and IT in utilizing the power of AI.
Key challenges organizations face with AI enterprise workloads
Organizations face risk in pulling together an end-to-end AI solution for disparate products, and integrating them with existing infrastructure is difficult, time-consuming and expensive. Quick deployment and high-performance are critical for AI, ML and data analytics workloads. Moving from proof-of-concept to enterprise deployment requires effective scaling—through efficient use of resources—to ensure manageability, availability and infrastructure cost management.
Discover the AI software solution from NVIDIA
Organizations are using AI in areas such as speech recognition, recommendation engines, medical imaging, manufacturing, and even media and entertainment. NVIDIA AI Enterprise is an end-to-end, cloud-native suite of AI and data analytics software, optimized so every organization can excel at AI. The NVIDIA AI Enterprise solution acts as the operating system of the NVIDIA AI platform and is essential for production and support of applications built with the extensive NVIDIA library of frameworks and pretrained models. The solution is certified for deployment on widely adopted enterprise platforms including Amazon Web Services (AWS), Microsoft Azure and Google Cloud. It can also run on NVIDIA-Certified Systems from leading server vendors.
As the operating system of the NVIDIA AI platform, NVIDIA AI Enterprise includes frameworks and pretrained models such as NVIDIA Riva for speech AI, NVIDIA Merlin™ for recommendation engines, NVIDIA Clara™ for medical imaging and more. The solution offers 100+ AI development tools, enterprise-grade security, API stability for maintaining AI applications, and management software for workloads and infrastructure to accelerate development and deployment of production AI, including generative AI, computer vision and speech AI.
NVIDIA AI Enterprise benefits for enterprises
Enterprise-grade security, stability, manageability and support: NVIDIA AI Enterprise addresses the complexities of organizations building and maintaining a high-performance, secure, cloud-native AI software platform by offering:
- Continuous monitoring and regular releases of security patches for critical and common vulnerabilities and exposures (CVEs).
- Production releases that ensure API stability.
- End-to-end management software from cluster management to automated model deployment: Base Command Manager Essentials and Triton Management Service.
- Enterprise support with service-level agreements (SLAs) and access to NVIDIA AI experts.
Accelerated AI to improve productivity and lower TCO: With over 100 frameworks, pretrained models, and development tools optimized for building and running AI on NVIDIA GPUs, NVIDIA AI Enterprise accelerates every stage of the AI journey, from data prep and model training through inference and deployment at scale.
Cloud native and certified to run everywhere: NVIDIA AI Enterprise is optimized and certified for reliable performance, whether it’s deployed in the public cloud, in virtualized data centers or on the NVIDIA DGX™ platform.
Accelerated production-ready generative AI: NVIDIA AI Enterprise includes NVIDIA NeMo, a framework to build, customize, and deploy Large Language Models (LLMs), and a new AI workflow, generative AI knowledge base chatbot for gen AI applications.
AI-ready platform with NVIDIA’s latest data center flagship products
An NVIDIA AI Enterprise license is included with every NVIDIA H100 Tensor Core data center GPU, available from PNY ecosystem partners. Other NVIDIA Data Center GPUs available from PNY and compatible with NVIDIA AI Enterprise include the NVIDIA A100X, A100 80GB, A100 80GB Liquid Cooled, NVIDIA L40S, NVIDIA L40, NVIDIA A40, NVIDIA A30X and the NVIDIA A30. The compatible NVIDIA workstation GPUs available from PNY include NVIDIA RTX 6000 Ada and NVIDIA RTX 5000 Ada.
The NVIDIA AI Enterprise solution also ensures organizations have access to both state-of-the-art AI software and optimizes every stop of the AI workflow. The solution provides these benefit features:
Accelerate data preparation with NVIDIA RAPIDS: Enterprises can achieve up to 70x faster performance and up to 20x more cost-effectiveness compared to similar CPU-only configurations.
Train at scale with the NVIDIA TAO Toolkit: The open-source TAO toolkit contains Vision Transformers (ViTs) allowing developers and service providers to create state-of-the-art computer vision models and deploy them on any device—GPUs, CPUs and MCUs—whether at the edge or in the cloud.
Create custom, production-ready AI models: Allows developers to create AI-ready models in hours, rather than months, by fine-tuning NVIDIA pretrained models—without AI expertise or large training datasets.
Optimize for inference: Using NVIDIA TensorRT™-based applications that perform up to 40x faster than CPU-only platforms. With TensorRT, fine-tune neural network models trained in all major frameworks.
Deploy at scale: Deploying at scale is easy with the NVIDIA Triton Inference Server, simplifying and optimizing the deployment of AI models at scale and in production for both neural networks and tree-based models of GPUs.
Manage model deployment: Automating inference deployment and model orchestration at scale with NVIDIA Triton Management Service, an exclusive feature of NVIDIA AI Enterprise.
NVIDIA AI Enterprise provides ecosystem of partners
NVIDIA AI Enterprise has a broad ecosystem of certified partner integrations with VMware, Red Hat, Canonical, Nautanix and more, reducing deployment risk. MLOps integrations with ClearML, Domino Data Lab, Run:ai and Weights & Biases allow collaboration and productivity.
Get the support necessary for production AI
Organizations get the transparency of open source with the assurance of support from NVIDIA when they move from development to production. Support includes full enterprise support for conversational AI, recommendation engines, medical imaging and more AI workflows, as well as access to NVIDIA AI experts and engineering teams. Priority notifications related to the latest security fixes and maintenance releases are provided. The solution includes Enterprise Training Services so developers, data scientists and IT professionals get the most out of NVIDIA AI Enterprise. Long-term support is available for up to three years for designated software branches. Customized support upgrade options include a designated technical account manager and business-critical support for 24/7 live agent access.
NVIDIA AI Enterprise run on NVIDIA-Certified Systems
The NVIDIA AI Enterprise software suite is certified to run on NVIDIA-Certified Systems, which include NVIDIA Ada Lovelace, NVIDIA Ampere, NVIDIA Hopper™ architecture-based GPUs, NVIDIA ConnectX SmartNICs and NVIDIA BlueField data processing units (DPUs). NVIDIA converged accelerators (NVIDIA A100X and NVIDIA A30X), which combine the powerful performance of the NVIDIA GPU architecture with the enhanced security and latency-reduction capabilities of the NVIDIA BlueField-2 DPU, are also an option.
Getting Started with NVIDIA AI Enterprise
NVIDIA Launchpad offers free, hands-on labs so IT staff or developers can experience how to create enterprise AI, including recommendation engines, image classification and more. There is 90-day evaluation software available for organizations with existing compatible on-prem systems or cloud instances to start their proof-of-concept work, then make an NVIDIA AI Enterprise adoption or purchase decision.
Visit PNY.com/Pro for additional information on NVIDIA AI Enterprise or NVIDIA data center GPUs.