NVIDIA AI Infrastructure(@NVIDIAAIInfra):💡 Why did @togethercompute choose NVIDIA Blackwell to serve DeepSeek-V4? Because NVIDIA Blackwell is built for the bottlenecks that matter most in long-context inference: → KV-cache pressure during decode → MoE weight bandwidth during prefill A single NVIDIA HGX B200 system can keep DeepSeek-V4’s compressed CSA/HCA/SWA cache layouts resident across many concurrent long-context requests, while native MXFP4 support enables efficient end-to-end quantized inference for V4’s MoE weights. The result? Higher throughput, lower overhead, and optimized serving efficiency at scale.

2026.05.13 22:23

💡 Why did @togethercompute choose NVIDIA Blackwell to serve DeepSeek-V4? Because NVIDIA Blackwell is built for the bottlenecks that matter most in long-context inference: → KV-cache pressure during decode → MoE weight bandwidth during prefill A single NVIDIA HGX B200 system can keep DeepSeek-V4’s compressed CSA/HCA/SWA cache layouts resident across many concurrent long-context requests, while native MXFP4 support enables efficient end-to-end quantized inference for V4’s MoE weights. The result? Higher throughput, lower overhead, and optimized serving efficiency at scale.

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