Unverified50% confidenceBenchmarkExact time
On a single GPU, ΦasmaNet can perform about 1.2×10^5 SNR evaluations per second, and end-to-end processing of a catalog containing 10^6 injections takes only about 8.3 seconds.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
11/4/2026
First Seen
Valid until: 2/2/2027
Sources
Related Entities
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UnverifiedA 2B model requires approximately 4–10 TFLOPs of computation per inference, taking 10–50 milliseconds on an A100 GPU, while a 70B model requires 140–350 TFLOPs and can take up to several seconds.69% similarUnverifiedAt a fixed per-GPU output size, TIDE's reduce-scatter buffer remains almost constant from 16 to 64 GPUs.68% similarUnverifiedNsight Systems profiling shows that at 7.3 tok/s each token takes about 137ms, of which the GPU is busy about 92ms and idle about 54ms, with the inter-launch gap only about 13ms, so CUDA graphs can only optimize those 13ms.68% similar
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