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NVIDIA AI Enterprise is an end-to-end, cloud-native AI and data analytics software suite optimized, certified, and supported by NVIDIA to run in VMware vSphere® with Tanzu® and VMware Cloud Foundation™ virtualized data centers with NVIDIA Certified Systems™. It includes key NVIDIA technologies for rapidly deploying, managing, and scaling AI workloads in the modern hybrid cloud.
Proven open source frameworks and tools optimize AI development and deployment. Companies can focus on creating value through AI.
Certified for execution in any place
NVIDIA AI Enterprise is certified to run on GPU-accelerated mainstream systems, CPU-only servers, or in the public cloud (NVIDIA-Certified Systems™). With NVIDIA AI Enterprise, AI projects can be ported throughout today's increasingly hybrid data center.
Accelerate your AI journey with NVIDIA LaunchPad
Get instant access to NVIDIA AI with free curated hands-on courses - from AI-powered chatbots with Triton Inference Server to image classification with TensorFlow and more.
Proven open source frameworks and tools streamline AI development and deployment, enabling organizations to focus on adding value to AI for business.
Certified for VMware
NVIDIA AI Enterprise is certified to run on NVIDIA-certified mainstream servers running VMware, enabling bare-metal performance for AI projects in virtualized data centers.
NVIDIA SUPPORT
Keep mission-critical AI projects on track with enterprise-level support from NVIDIA.
NVIDIA AI Enterprise
Optimized, certified and supported on VMware vSphere with Tanzu and VMware Cloud Foundation with Tanzu
The NVIDIA AI Enterprise suite includes the applications, frameworks, and tools used by AI researchers, data scientists, and developers.
VMware vSphere and VMware Cloud Foundation provide the flexibility to run AI workloads directly on virtual machines (VMs) or on containers running in VMs. This includes a choice of VMware Tanzu or Red Hat OpenShift for container orchestration and Kubernetes cluster management.
NVIDIA AI Enterprise is also supported by VMware Cloud Director to run and manage GPU-accelerated cloud services.
Serverkonfiguration: Intel Xeon Gold (6240R bei 2,4 GHz), Ubuntu 18.04, VMware vSphere 7.0u2, NVIDIA vGPU 12.0 (40C-Profil), 1xNVIDIA A100 pro Knoten, Treiber 460.32.04, NVIDIA Mellanox ConnectX6 Dx, RoCE-fähig, ATS-fähig, TensorFlow Resnet-50 V1.5 Training mit Horovod, FP16, BS: 512
Distributed Deep Learning Training
Virtualization offers bare metal performance for AI
Optimized for VMware environments, the suite delivers near bare-metal performance across multiple nodes, optimizing time to production for new AI applications and services.
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