Updated March 27, 2026
The fastest multimodal inference OS — optimized infrastructure for running multimodal AI models at scale.
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.
Core capabilities each platform advertises.
What each tool does well, and the limitations to keep in mind.
Pros
Cons
Pros
Cons
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