R

Real-time LLM Inference on Standard GPUs: 3k tokens/s per request

optimization of the whole software stack with architecture/engine/kernel co-design

technical deep diveAI and machine learning

Momentum

Total Signals
1
Last 7d
1
1 last 30d
Avg Evidence
6/15
MEDIUM
Last Seen
2h ago

Intelligence

Moat
optimization of the whole software stack with architecture/engine/kernel co-design
Competitors
NVIDIAGoogle Cloud
Tooling
TensorFlowPyTorch
Keywords
LLM inferenceGPU optimizationreal-time processing

Timeline Ā· 1 events

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Hn AppearanceMay 29, 02:49 PM
title: Real-time LLM Inference on Standard GPUs: 3k tokens/s per rehn_points: 104sentiment: unknown
conf 70%

Signals Ā· 1

technical deep divemedium 6/152h ago

Real-time LLM Inference on Standard GPUs: 3k tokens/s per request

The startup claims a throughput of 3,000 tokens/s per request, a significant speed advantage in LLM inference compared to competitors like NVIDIA and Google Cloud.

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