What's Inside the AI Proving Ground

Inside the AI Proving Ground, IT professionals can explore the world of validated designs, reference architectures and DIY environments that fit their use cases. This includes full-stack validations from network to compute to storage, along with Kubernetes (K8s) platforms with MLOps integrations. IT professionals will also receive expert guidance from our AI and infrastructure experts, as well as insights from leading AI companies, to help accelerate decision-making and implementation of AI solutions.

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Hardware

High-performance compute:

Access the latest CPUs, GPUs, DPUs and SmartNICs from industry leaders like NVIDIA, AMD and Intel.

Storage:

Solutions from Dell, NetApp, Pure Storage, VAST Data, IBM, DataDirect Networks and HPE GreenLake.

Networking:

High-speed networking solutions like InfiniBand fabrics and 400GbE Ethernet from NVIDIA, Cisco and Arista.

Explore our offerings

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AIPG: Innovation Lab with NVIDIA DGX

NVIDIA DGX H100 integration and validation environment for enterprise AI workflows.
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AIPG: GPU-as-a-Service with Liqid

The AI Proving Ground GPU-as-a-Service environment is a fully automated solution that enables WWT engineers to build physical server environments with different server, CPU, GPU, and Operating System options.
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AIPG: Dell Reference Architecture for Generative AI with NVIDIA

The Dell Reference Architecture environment is a full-stack solution that includes Dedicated Dell PowerSwitch High-Speed Networking, Dell PowerEdge Accelerator Optimized Compute nodes (XE9680 and R760xa servers), and Dell PowerScale Storage (F600 Array) as the hardware components and includes multiple MLOps and Kubernetes Platform solutions.
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AIPG: NVIDIA GH200 Grace Hopper

The NVIDIA Grace Hopper High-Performance Computing Appliance is a small but powerful solution
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AIPG: Intel Gaudi Performance Cluster

The Intel Gaudi cluster supports a single Gaudi-1 Appliance with eight first-generation deep learning processors and a single Gaudi-2 Appliance with eight second-generation deep learning processors. Each HPC Appliance can leverage both local NVMe storage or High-Speed Storage systems via a dedicated 100GbE network fabric. Customers can leverage the environment to validate different AI Training or Inferencing solutions along with recording both performance and power metrics while they are performing their tests.
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AIPG: The AI Security Enclave

The AI Security Enclave in the AI Proving Ground (AIPG) adds an environment dedicated to supporting AI security efforts and demonstrating WWT expertise and capabilities for testing innovative hardware and software security solutions.
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Retrieval Augmented Generation (RAG) with NetApp and NVIDIA NIM & Riva

Retrieval-Augmented Generation (RAG) enhances Generative AI by integrating retrieval mechanisms with generative models. This lab will walk you through an example RAG use case, and you will see the value of RAG including:
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AIPG: Cisco FlashStack for Generative AI

Lab that walks through Cisco Flash Stack for AI
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AIPG: Dell Reference Architecture for Generative AI with AMD

Discover the Dell Reference Architecture, a full-stack solution optimized for generative AI with cutting-edge Dell and AMD technologies. Experience hands-on configuration, MLOps, and Kubernetes platforms, while validating performance and efficiency. Accelerate your AI deployment and optimize data center operations with this comprehensive, high-performance environment.
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AIPG: HPE Private Cloud AI

HPE Private Cloud AI, a pioneering turnkey solution, integrates NVIDIA and HPE technologies to simplify and accelerate AI development. It offers scalable configurations and enables experimentation and innovation in a secure on-premises environment. Explore its capabilities through hands-on lab experiences and easily streamline your AI journey.
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AIPG: HPE Reference Architecture for Generative AI

HPE's full-stack Generative AI solution integrates advanced hardware and software, including NVIDIA GPUs and HPE GreenLake, to empower AI development. This lab offers hands-on experience with HPE's AI stack, enabling customization, performance validation, and accelerated AI deployment, providing a critical resource for organizations aiming to optimize their data center operations for generative AI.