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| A100 40GB PCIe |
A100 80GB PCIe |
A100 40GB SXM |
A100 80GB SXM |
| FP64 |
9.7 TFLOPS |
| FP64 Tensor Core |
19.5 TFLOPS |
| FP32 |
19.5 TFLOPS |
| Tensor Float 32 (TF32) |
156 TFLOPS | 312 TFLOPS* |
| BFLOAT16 Tensor Core |
312 TFLOPS | 624 TFLOPS* |
| FP16 Tensor Core |
312 TFLOPS | 624 TFLOPS* |
| INT8 Tensor Core |
624 TOPS | 1248 TOPS* |
| GPU Memory |
40GB HBM2 |
80GB HBM2e |
40GB HBM2 |
80GB HBM2e |
| GPU Memory Bandwidth |
1,555GB/s |
1,935GB/s |
1,555GB/s |
2,039GB/s |
| Max Thermal Design Power (TDP) |
250W |
300W |
400W |
400W |
| Multi-Instance GPU |
Up to 7 MIGs @ 5GB |
Up to 7 MIGs @ 10GB |
Up to 7 MIGs @ 5GB |
Up to 7 MIGs @ 10GB |
| Form Factor |
PCIe |
SXM |
| Interconnect |
NVIDIA® NVLink® Bridge for 2 GPUs: 600GB/s **
PCIe Gen4: 64GB/s |
NVLink: 600GB/s
PCIe Gen4: 64GB/s |
| Server Options |
Partner and NVIDIA-Certified Systems™ with 1-8 GPUs |
NVIDIA HGX™ A100-Partner and NVIDIA-Certified Systems with 4,8, or 16 GPUs
NVIDIA DGX™ A100 with 8 GPUs |
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| Form Factor |
H100 SXM |
H100 PCIe |
| FP64 |
30 teraFLOPS |
24 teraFLOPS |
| FP64 Tensor Core |
60 teraFLOPS |
48 teraFLOPS |
| FP32 |
60 teraFLOPS |
48 teraFLOPS |
| TF32 Tensor Core |
1,000 teraFLOPS* | 500 teraFLOPS |
800 teraFLOPS* | 400 teraFLOPS |
| BFLOAT16 Tensor Core |
2,000 teraFLOPS* | 1,000 teraFLOPS |
1,600 teraFLOPS* | 800 teraFLOPS |
| FP16 Tensor Core |
2,000 teraFLOPS* | 1,000 teraFLOPS |
1,600 teraFLOPS* | 800 teraFLOPS |
| FP8 Tensor Core |
4,000 teraFLOPS* | 2,000 teraFLOPS |
3,200 teraFLOPS* | 1,600 teraFLOPS |
| INT8 Tensor Core |
4,000 TOPS* | 2,000 TOPS |
3,200 TOPS* | 1,600 TOPS |
| GPU memory |
80GB |
80GB |
| GPU memory bandwidth |
3TB/s |
2TB/s |
| Decoders |
7 NVDEC
7 JPEG |
7 NVDEC
7 JPEG |
| Max thermal design power (TDP) |
700W |
350W |
| Multi-Instance GPUs |
Up to 7 MIGS @ 10GB each |
| Form factor |
SXM |
PCIe |
| Interconnect |
NVLink: 900GB/s PCIe Gen5: 128GB/s |
NVLINK: 600GB/s PCIe Gen5: 128GB/s |
| Server options |
NVIDIA HGX™ H100 Partner and NVIDIA-Certified Systems™ with 4 or 8 GPUs NVIDIA DGX™ H100 with 8 GPUs |
Partner and NVIDIA-Certified Systems with 1–8 GPUs |
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Core: 2 x 1536
Memory: 8 GB GDDR5
Interface: 320-bit
Bandwidth: 320 GB/sec
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Core: 2496
Memory: 5 GB GDDR5
Interface: 320-bit
Bandwidth: 208 GBytes/sec
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Core: 2688
Memory: 6GB GDDR5
Interface: 320-bit
Bandwidth: 250 GBytes/sec
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Core: 2880
Memory: 12 GB GDDR5
Interface: 384-bit
Bandwidth: 288 GB/s
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Core: 4992
Memory: 24 GB GDDR5
Interface:
Bandwidth: 480 GB/sec (240 GB/sec per GPU)
181.338.000 ₫
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GPU Architecture: NVIDIA Pascal
Single-Precision Performance: 12 TeraFLOPS*
Integer Operations (INT8): 47 TOPS* (Tera-Operations per Second)
GPU Memory: 24 GB
Memory Bandwidth: 346 GB/s
CUDA Cores: 3,840
System Interface: PCI Express 3.0 x16
Max Power: 250 W
Enhanced Programmability with Page Migration Engine: Yes
ECC Protection: Yes
Server-Optimized for Data Center Deployment: Yes
Hardware-Accelerated Video Engine: 1x Decode Engine, 2x Encode Engine
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60.996.000 ₫
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GPU Architecture: NVIDIA Turing
NVIDIA Turing TensorCores: 320
NVIDIA CUDA® Cores: 2,560
Single-Precision: 8.1 TFLOPS
Mixed-Precision(FP16/FP32): 65 TFLOPS
INT8: 130 TOPS
INT4: 260 TOPS
GPU Memory: 16 GB GDDR6 300 GB/sec
Interconnect Bandwidth: 32 GB/sec
System Interface: x16 PCIe Gen3
Thermal Solution: Passive
Compute APIs: CUDA, NVIDIA TensorRT™, ONNX
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220.573.000 ₫
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GPU Architecture: NVIDIA Volta
NVIDIA Tensor Cores: 640
NVIDIA CUDA® Cores: 5,120
Double-Precision Performance: 7 TFLOPS
Single-Precision Performance: 14 TFLOPS
Tensor Performance: 112 TFLOPS
GPU Memory: 16GB HBM2
Memory Bandwidth: 900GB/sec
Interconnect Bandwidth: 32GB/sec
System Interface: PCIe Gen3
Max Power Comsumption: 250 W
Thermal Solution: Passive
Compute APIs: CUDA, Direct Compute,OpenCL™, OpenACC
248.927.000 ₫
Thông tin nổi bật
GPU Architecture: NVIDIA Volta
NVIDIA Tensor Cores: 640
NVIDIA CUDA® Cores: 5,120
Double-Precision Performance: 7 TFLOPS
Single-Precision Performance: 14 TFLOPS
Tensor Performance: 112 TFLOPS
GPU Memory: 32GB HBM2
Memory Bandwidth: 900GB/sec
Interconnect Bandwidth: 32GB/sec
System Interface: PCIe Gen3
Max Power Comsumption: 250 W
Thermal Solution: Passive
Compute APIs: CUDA, Direct Compute,OpenCL™, OpenACC
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