vLLM says that, on SemiAnalysis AgentX, its optimized DeepSeek-V4.1-Flash on Vera Rubin NVL72 reached 1.7 million tokens/s/GPU at 387 tokens/s/user (58x GB300 NVL72), 2.52 million tokens/s/GPU at peak throughput (2.7x GB300) and 1,810 tokens/s for one sess...
VQV Signal
ROBOTS & HARDWARE
WATCH
TECHNICAL
vLLM: DeepSeek-V4.1-Flash on Vera Rubin NVL72 hits 58x GB300 throughput
vLLM says that, on SemiAnalysis AgentX, its optimized DeepSeek-V4.1-Flash on Vera Rubin NVL72 reached 1.7 million tokens/s/GPU at 387 tokens/s/user (58x GB300 NVL72), 2.52 million tokens/s/GPU at peak throughput (2.7x GB300) and 1,810 tokens/s for one sess...
vLLM says that, on SemiAnalysis AgentX, its optimized DeepSeek-V4.1-Flash on Vera Rubin NVL72 reached 1.7 million tokens/s/GPU at 387 tokens/s/user (58x GB300 NVL72), 2.52 million tokens/s/GPU at peak throughput (2.7x GB300) and 1,810 tokens/s for one session. The post is from Thursday; vLLM reshared it at 3:40 PM...
Hardware and robotics watchers may want to track whether this becomes a product, benchmark, or deployment signal.
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Signal Strength 86%
Technical label WATCH
Public Interest 42
Category ROBOTS & HARDWARE
Reader Depth TECHNICAL
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
Public Interest components
Recognizable Entity Score 73
Practical Impact Score 0
Novelty Interest Score 70
Consequence Score 18
Curiosity Score 16
Shareability Score 57
Topics
VQV surfaced this signal because it is recent, relevant to LLM Inference, connected to Scobleizer News Pulse (X).
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