CUDA / software moat
The lock-in layer of the accelerator stack
CUDA plus cuDNN/NCCL/TensorRT is the software moat that makes Nvidia hardware sticky and undermines nominally competitive silicon from AMD, Groq, and hyperscaler ASICs. Any complete AI value-chain map must show that the accelerator chokepoint is as much software as silicon; ROCm and Triton/OpenAI kernels are the counter-plays.
How it fits the stack
CUDA / software moat with what it depends on (above) and what it feeds (below). The figure renders as a crawlable diagram and upgrades to an interactive 3D graph as it scrolls into view.
CUDA / software moat in the AI stack. CUDA / software moat with its immediate upstream dependencies (top) and downstream dependents (bottom) in the AI value chain. Hover a node in 3D, or read the full relationships below.
Graph data (text) — 12 entities, 11 relationships
- Claude (Opus / Sonnet) —used by→ CUDA / software moat
- NCCL (NVIDIA Collective Comms) —depends on→ CUDA / software moat
- Nvidia NeMo / NIM / Dynamo —depends on→ CUDA / software moat
- NVIDIA TensorRT-LLM / Dynamo —depends on→ CUDA / software moat
- PyTorch —depends on→ CUDA / software moat
- SGLang —depends on→ CUDA / software moat
- vLLM —depends on→ CUDA / software moat
- CUDA / software moat —competes with→ AMD
- CUDA / software moat —competes with→ Huawei CANN
- CUDA / software moat —competes with→ Moore Threads
- CUDA / software moat —competes with→ Triton (OpenAI)
Feeds ↓ · 8
Context — capital, rivals, policy · · 5