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20 results found
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.
Advanced Configuration Lab
NVIDIA Blueprint: PDF Ingestion
NVIDIA Blueprints: PDF Ingestion, also known as NVIDIA-Ingest, or NV-Ingest, this blueprint is a scalable, performance-oriented document content and metadata extraction microservice. Including support for parsing PDFs, Word and PowerPoint documents, it uses specialized NVIDIA NIM microservices to find, contextualize, and extract text, tables, charts and images for use in downstream generative applications.
Sandbox Lab
• 38 launches
AIPG: Innovation Lab with NVIDIA DGX
NVIDIA DGX H100 integration and validation environment for enterprise AI workflows.
Advanced Configuration Lab
• 5 launches
Retrieval Augmented Generation (RAG) Walk Through Lab
This lab will go into the basics of Retrieval Augmented Generation (RAG) through hands on access to a dedicated environment.
Foundations Lab
• 661 launches
Introduction into OpenShift AI with Intel and Dell Infrastructure
Red Hat OpenShift AI, formerly known as Red Hat OpenShift Data Science, is a platform designed to streamline the process of building and deploying machine learning (ML) models. It caters to both data scientists and developers by providing a collaborative environment for the entire lifecycle of AI/ML projects, from experimentation to production.
In this lab, you will explore the features of OpenShift AI by building and deploying a fraud detection model. This environment is built ontop of Dell R660's and Intel Xeon's 5th generation processors.
Foundations Lab
• 107 launches
Protect AI Guardian Sandbox
Protect AI Guardian is an ML model scanner and policy enforcer that ensures ML models meet an organization's security standards. It scans model code for malicious operators and vulnerabilities, while also checking against predefined policies. Guardian covers both first-party (developed within the organization) and third-party models (from external repositories). This comprehensive approach helps organizations manage ML model risks effectively.
In this Lab, you will walk through the Protect AI Interface, explore the different feature sets there, and submit example models for scanning.
Sandbox Lab
• 148 launches
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.
Advanced Configuration Lab
NVIDIA Blueprint: Generative Virtual Screening for Drug Discovery
The NVIDIA Blueprints for generative virtual screening demonstrate how generative AI and accelerated NVIDIA NIM microservices can be leveraged to design optimized small molecules more intelligently and efficiently.
Sandbox Lab
• 95 launches
Cisco RoCE Fabrics
This lab will demonstrate how the Cisco Nexus Dashboard Fabric Controller can easily set up an AI/ML fabric with a simple point-and-click GUI. It will only do this easily without knowing the protocols or best practices. The controller will do the work.
Advanced Configuration Lab
• 24 launches
AIPG: Cisco FlashStack for Generative AI
Lab that walks through Cisco Flash Stack for AI
Advanced Configuration Lab
• 1 launch
AI Prompt Injection Lab
Explore the hidden dangers of prompt injection in Large Language Models (LLMs). This lab reveals how attackers manipulate LLMs to disclose private information and behave in ways that they were not intended to. Discover the intricacies of direct and indirect prompt injection and learn to implement effective guardrails.
Foundations Lab
• 42 launches
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.
Advanced Configuration Lab