Unverified50% confidenceFactExact time
以FP16半精度计算，RTX 4090理论算力约为330 TFLOPS，M2 Ultra的GPU算力约为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% similarUnverifiedTPU v4单芯片峰值算力约275 TFLOPS（BF16精度），TPU v4-32 pod由32个芯片通过ICI高速互联组成，总算力约8800 TFLOPS78% 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% similarUnverifiedNVIDIA A100的理论FP16峰值算力约为312 TFLOPS，但朴素LLM推理场景下GPU利用率常不足30%76% similar
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