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GPU Comparison
NVIDIA Tesla M2090 vs NVIDIA Tesla V100 FHHL
NVIDIA Tesla M2090 vs NVIDIA Tesla V100 FHHL
VS
NVIDIA Tesla M2090
NVIDIA Tesla V100 FHHL
We compared two Professional market GPUs: 6GB VRAM Tesla M2090 and 16GB VRAM Tesla V100 FHHL to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Tesla V100 FHHL 's Advantages
Released 6 years and 8 months late
Boost Clock1290MHz
More VRAM (16GB vs 6GB)
Larger VRAM bandwidth (829.4GB/s vs 177.4GB/s)
4608 additional rendering cores
Score
Benchmark
FP32 (float)
Tesla M2090
1.332 TFLOPS
Tesla V100 FHHL
+891%
13.21 TFLOPS
Tesla M2090
VS
Tesla V100 FHHL
Graphics Card
Jul 2011
Release Date
Mar 2018
Tesla
Generation
Tesla
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 3.0 x16
Clock Speeds
-
Base Clock
937 MHz
-
Boost Clock
1290 MHz
924 MHz
Memory Clock
810 MHz
Memory
6GB
Memory Size
16GB
GDDR5
Memory Type
HBM2
384bit
Memory Bus
4096bit
177.4GB/s
Bandwidth
829.4GB/s
Render Config
16
SM Count
80
-
Compute Units
-
512
Shading Units
5120
64
TMUs
320
48
ROPs
128
-
Tensor Cores
640
-
RT Cores
-
64 KB (per SM)
L1 Cache
128 KB (per SM)
768 KB
L2 Cache
6 MB
Theoretical Performance
20.83 GPixel/s
Pixel Rate
165.1 GPixel/s
41.66 GTexel/s
Texture Rate
412.8 GTexel/s
-
FP16 (half)
26.42 TFLOPS
1332 GFLOPS
FP32 (float)
13.21 TFLOPS
666.1 GFLOPS
FP64 (double)
6.605 TFLOPS
Graphics Processor
GF110
GPU Name
GV100
-
GPU Variant
-
Fermi 2.0
Architecture
Volta
TSMC
Foundry
TSMC
40 nm
Process Size
12 nm
3 billion
Transistors
21.1 billion
520 mm²
Die Size
815 mm²
Board Design
250W
TDP
250W
600 W
Suggested PSU
600 W
No outputs
Outputs
No outputs
1x 6-pin + 1x 8-pin
Power Connectors
1x 8-pin
Graphics Features
12 (11_0)
DirectX
12 (12_1)
4.6
OpenGL
4.6
1.1
OpenCL
3.0
N/A
Vulkan
1.3
2.0
CUDA
7.0
5.1
Shader Model
6.6
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