Definition
NVIDIA dominates AI hardware with GPUs essential for training and running modern AI models.
- **Key AI Products:**
- H100: Current flagship for AI training
- A100: Previous generation workhorse
- RTX 4090: Consumer GPU for local AI
- Grace Hopper: CPU+GPU superchip
- **Software Stack:**
- CUDA: GPU programming platform
- cuDNN: Deep learning primitives
- TensorRT: Inference optimization
- Triton: Inference server
Why NVIDIA Dominates: - CUDA ecosystem (15+ years) - Hardware optimization for AI - Software support - First-mover advantage
Market Position: - ~80% of AI training market - Multi-trillion dollar company - AI infrastructure backbone
Competitors: - AMD (MI300X) - Intel (Gaudi) - Google (TPU) - Custom chips (Groq, Cerebras)
Examples
Training GPT-4 required thousands of NVIDIA A100 GPUs.
Related Terms
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