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GB200 NVL4 (NVIDIA)
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| Memory Bandwidth Tb S | 8 |
|---|---|
| Interconnect Bandwidth Gb S | 7.2 |
| Tdp W | 1200 |
| Architecture | Blackwell |
| Fp16 Bf16 Tflops Dense | 2500 |
| Fp8 Tflops Dense | 5000 |
| Fp16 Bf16 Tflops Sparse | 5000 |
| Fp32 Tflops | 80 |
| Int8 Tops Dense | 5000 |
| Fp4 Tflops Dense | |
| Fp4 Tflops Sparse | |
| Fp64 Tflops | |
| Fp8 Tflops Sparse | |
| Int8 Tops Sparse | |
| Product Name | |
| System Total Memory Gb | |
| Tf32 Tflops Dense |
| Tf32 Tflops Sparse |
|---|
| SKU | GB200 NVL4 |
|---|
| NVIDIA Blackwell GPUs | Grace CPUs | |
|---|---|
| CPU Cores | |
| Total NVFP4 Tensor Core | |
| Total FP8/FP6 Tensor Core | |
| Total Fast Memory | |
| Total Memory Bandwidth | |
| FP4 Tensor Core (Individual Blackwell GPU) | |
| FP8/FP6 Tensor Core (Individual Blackwell GPU) | |
| INT8 Tensor Core (Individual Blackwell GPU) | |
| FP16/BF16 Tensor Core (Individual Blackwell GPU) | |
| TF32 Tensor Core (Individual Blackwell GPU) | |
| FP32 (Individual Blackwell GPU) | |
| FP64/FP64 Tensor Core (Individual Blackwell GPU) | |
| GPU Memory | Bandwidth (Individual Blackwell GPU) | |
| Server Options | |
| Key Feature - Blackwell GPUs | |
| Key Feature - Grace CPUs | |
| Key Feature - Bandwidth | |
| Key Feature - Fast memory | |
| Key Feature - HPC generation speedup | |
| Architecture description | |
| Coherent memory | |
| GraphCast Training (vs GH200 CG4) | |
| GPT-25B Training (vs GH200 CG4) | |
| OpenFold Inference (vs GH200 CG4) | |
| GenSLM Inference (vs GH200 CG4) | |
| LAMMPS (HPC, vs GH200 CG4) | |
| ICON (HPC, vs GH200 CG4) | |
| STAR-CCM (HPC, vs GH200 CG4) | |
| HPL (HPC, vs GH200 CG4) | |
| MILC (HPC, vs GH200 CG4) | |
| RTM (HPC, vs GH200 CG4) | |
| GROMACS (HPC, vs GH200 CG4) | |
| HPCG (HPC, vs GH200 CG4) | |
| Power assumption (NVL4 network) |
