Training and serving large AI models demands specialized GPU infrastructure that most companies can't maintain in-house. CoreWeave and Lambda Cloud offer H100 and A100 clusters on-demand for research and production workloads. RunPod and Vast.ai tap into distributed GPU networks for cost-efficient training, while Groq's custom inference chips and Together AI's optimized serving stack prioritize low-latency inference at scale.
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4.7
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4.6
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4.6
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