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Λεπτομέρειες:
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| FP64: | 34 teraFLOPS | FP64 Tensor πυρήνας: | 67 teraFLOPS |
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| FP32: | 67 teraFLOPS | TF32 Tensor πυρήνας: | 989 teraFLOPS |
| Μνήμη GPU: | 80GB | Εύρος ζώνης μνήμης GPU: | 3.35TB/s |
| Αποκωδικοποιητές: | 7 NVDEC 7 JPEG | Ανώτατη θερμική δύναμη σχεδίου (TDP): | Έως 700 W (με δυνατότητα διαμόρφωσης) |
| GPU πολλαπλών παρουσιών: | Έως 7 MIG @ 10 GB το καθένα | Form Factor: | SXM |
| Επισημαίνω: | 80GB GPU Memory NVIDIA H100 SXM GPU,SXM Form Factor H100 SXM Tensor Core GPU,700W Configurable TDP NVIDIA H100 SXM GPU |
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H100 features fourth-generation Tensor Cores and a Transformer Engine with FP8 precision that provides up to 4X faster training over the prior generation for GPT-3 (175B) models. For high-performance computing (HPC) applications, H100 triples the floating-point operations per second (FLOPS) of double-precision Tensor Cores, delivering 60 teraflops of FP64 computing for HPC while also featuring dynamic programming (DPX) instructions to deliver up to 7X higher performance. With
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