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GPU Comparison
NVIDIA Tesla M2090 vs NVIDIA H800 SXM5
NVIDIA Tesla M2090 vs NVIDIA H800 SXM5
VS
NVIDIA Tesla M2090
NVIDIA H800 SXM5
AI GPU We compared a Professional market GPU: 6GB VRAM Tesla M2090 and a GPU: 80GB VRAM H800 SXM5 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Tesla M2090 's Advantages
Lower TDP (250W vs 700W)
NVIDIA H800 SXM5 's Advantages
Released 11 years and 8 months late
Boost Clock1755MHz
More VRAM (80GB vs 6GB)
Larger VRAM bandwidth (1681GB/s vs 177.4GB/s)
16384 additional rendering cores
Score
Benchmark
FP32 (float)
Tesla M2090
1.332 TFLOPS
H800 SXM5
+4351%
59.3 TFLOPS
Tesla M2090
VS
H800 SXM5
Graphics Card
Jul 2011
Release Date
Mar 2023
Tesla
Generation
Tesla Hopper
Professional
Type
AI GPU
PCIe 2.0 x16
Bus Interface
PCIe 5.0 x16
Clock Speeds
-
Base Clock
1095 MHz
-
Boost Clock
1755 MHz
924 MHz
Memory Clock
1313 MHz
Memory
6GB
Memory Size
80GB
GDDR5
Memory Type
HBM3
384bit
Memory Bus
5120bit
177.4GB/s
Bandwidth
1681GB/s
Render Config
16
SM Count
132
-
Compute Units
-
512
Shading Units
16896
64
TMUs
528
48
ROPs
24
-
Tensor Cores
528
-
RT Cores
-
64 KB (per SM)
L1 Cache
256 KB (per SM)
768 KB
L2 Cache
50 MB
Theoretical Performance
20.83 GPixel/s
Pixel Rate
42.12 GPixel/s
41.66 GTexel/s
Texture Rate
926.6 GTexel/s
-
FP16 (half)
237.2 TFLOPS
1332 GFLOPS
FP32 (float)
59.30 TFLOPS
666.1 GFLOPS
FP64 (double)
29.65 TFLOPS
Graphics Processor
GF110
GPU Name
GH100
-
GPU Variant
-
Fermi 2.0
Architecture
Hopper
TSMC
Foundry
TSMC
40 nm
Process Size
4 nm
3 billion
Transistors
80 billion
520 mm²
Die Size
814 mm²
Board Design
250W
TDP
700W
600 W
Suggested PSU
1100 W
No outputs
Outputs
No outputs
1x 6-pin + 1x 8-pin
Power Connectors
8-pin EPS
Graphics Features
12 (11_0)
DirectX
N/A
4.6
OpenGL
N/A
1.1
OpenCL
3.0
N/A
Vulkan
N/A
2.0
CUDA
9.0
5.1
Shader Model
N/A
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