Key features
Core capabilities each platform advertises.
Data not available
- H100 and B200 GPU clusters
- DGX Cloud platform
- CUDA ecosystem
- NeMo framework for LLM training
- Omniverse for 3D and simulation
Updated March 10, 2026
Baseten is a model inference platform that lets developers deploy and scale ML models with high-performance GPU infrastructure. It supports custom model deployments with autoscaling, and hosts popular open-source models through its Truss serving framework.
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
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How Baseten's and NVIDIA's models score on public benchmarks, and their live API status.
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