Updated February 28, 2026
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.
vLLM is an open-source inference and serving engine for LLMs, built for high-throughput serving on GPUs with an OpenAI-compatible API server.
Core capabilities each platform advertises.
vLLMWhat each tool does well, and the limitations to keep in mind.
Pros
Cons
vLLMPros
Cons
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Choose vLLM if you wantChoose if you want
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