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2× RTX PRO 6000 Blackwell Self-hosted LLM Inference: A Complete performance and economics overview
We tested 12 model families, from 9B to 122B parameters, across more than 85 configurations and 435 benchmark runs. That covered dense and mixture-of-experts (MoE) models, BF16, FP8, NVFP4 and INT4 quantizations, tensor-parallel, data-parallel and expert-parallel deployments, with and without speculative decoding, all through a standardized vLLM benchmark suite.
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