Post assesses inference on two RTX Pro 6000 GPUs
Published on April 29, 2026, the post claims that a language model's experts are already quantized to 4 bits and could fit on two RTX Pro 6000 GPUs; it points to missing SM120 support in two serving options.
Source: x.com (x.com). Text prepared with AI from this source.
What happened and what to do
Published on April 29, 2026, the post claims that the cited language model's experts are already quantized to 4 bits and that the model could fit on two RTX Pro 6000 GPUs. The author notes that SM120 support is still missing in vLLM or SGLang, and highlights how quantization and serving-stack compatibility affect the hardware needed for inference.
A company evaluating local inference can measure memory use, performance, and compatibility across its model, GPU, and serving software before settling on infrastructure. A controlled pilot with latency and capacity metrics can help compare configurations and plan operations without assuming the post's estimate applies to other environments.
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Wendelmaques can diagnose hardware requirements, compatibility, and performance goals, scope a validation effort, and implement and operate an inference pilot on the company's infrastructure.
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