Keywords AI
NVIDIA
Inference & ComputeLayer 1EnterpriseWhat is NVIDIA?
NVIDIA dominates the AI accelerator market with its GPU hardware (H100, A100, B200) and CUDA software ecosystem. NVIDIA's DGX Cloud provides GPU-as-a-service for AI training and inference, while its TensorRT and Triton platforms optimize model deployment. The company also operates NGC, a catalog of GPU-optimized AI containers and models. NVIDIA hardware powers the vast majority of AI training and inference worldwide.
Key Features
- ✓H100 and B200 GPU clusters
- ✓DGX Cloud platform
- ✓CUDA ecosystem
- ✓NeMo framework for LLM training
- ✓Omniverse for 3D and simulation
Common Use Cases
Enterprises and research labs that need the highest-performance GPU infrastructure
- •Large-scale model training
- •High-performance inference serving
- •AI research and development
- •Autonomous vehicle and robotics simulation
- •Enterprise AI infrastructure
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