Unverified50% confidenceFactExact time
At FP16 half-precision computation, the RTX 4090 has a theoretical performance of approximately 330 TFLOPS, while the M2 Ultra's GPU delivers approximately 27.2 TFLOPS.
1
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50%
Confidence
Long-term
Relevance
8/30/2026
First Seen
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Related Claims
UnverifiedRTX 4090算力约165 TFLOPS，而单路推理实际只需约54 TFLOPS，算力严重过剩80% similarVerifiedRTX 4090的理论FP16算力为82.6 TFLOPS，显存带宽为1008 GB/s78% similarUnverifiedA single TPU v4 chip has a peak compute of approximately 275 TFLOPS (BF16 precision), and a TPU v4-32 pod consists of 32 chips interconnected via ICI high-speed interconnects, with a total compute of approximately 8,800 TFLOPS.78% similarUnverified将模型权重从FP16压缩到INT8或INT4的量化技术，可使消费级GPU如RTX 4090在本地部署时达到30-80 TPS的实用速度77% similarUnverifiedThe NVIDIA A100's theoretical FP16 peak compute is approximately 312 TFLOPS, but GPU utilization in naive LLM inference scenarios is often below 30%.76% similar
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