Home GPU Comparison NVIDIA Tesla C2090 vs NVIDIA GRID M10 8Q

NVIDIA Tesla C2090 vs NVIDIA GRID M10 8Q

We compared two Professional market GPUs: 6GB VRAM Tesla C2090 and 8GB VRAM GRID M10 8Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla C2090 's Advantages
Larger VRAM bandwidth (177.4GB/s vs 83.20GB/s)
NVIDIA GRID M10 8Q 's Advantages
Released 4 years and 10 months late
Boost Clock1306MHz
More VRAM (8GB vs 6GB)
128 additional rendering cores
Lower TDP (225W vs 250W)

Score

Benchmark

FP32 (float)
Tesla C2090
1.332 TFLOPS
GRID M10 8Q +25%
1.672 TFLOPS
VS

Graphics Card

Jul 2011
Release Date
May 2016
Tesla
Generation
GRID
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

-
Base Clock
1033 MHz
-
Boost Clock
1306 MHz
924 MHz
Memory Clock
1300 MHz

Memory

6GB
Memory Size
8GB
GDDR5
Memory Type
GDDR5
384bit
Memory Bus
128bit
177.4GB/s
Bandwidth
83.20GB/s

Render Config

16
SM Count
-
-
Compute Units
-
512
Shading Units
640
64
TMUs
40
48
ROPs
16
-
Tensor Cores
-
-
RT Cores
-
64 KB (per SM)
L1 Cache
64 KB (per SMM)
768 KB
L2 Cache
2 MB

Theoretical Performance

20.83 GPixel/s
Pixel Rate
20.90 GPixel/s
41.66 GTexel/s
Texture Rate
52.24 GTexel/s
-
FP16 (half)
-
1332 GFLOPS
FP32 (float)
1.672 TFLOPS
666.1 GFLOPS
FP64 (double)
52.24 GFLOPS

Graphics Processor

GF110
GPU Name
GM107
-
GPU Variant
GM107-570-A2
Fermi 2.0
Architecture
Maxwell
TSMC
Foundry
TSMC
40 nm
Process Size
28 nm
3 billion
Transistors
1.87 billion
520 mm²
Die Size
148 mm²

Board Design

250W
TDP
225W
600 W
Suggested PSU
550 W
No outputs
Outputs
No outputs
-
Power Connectors
1x 8-pin

Graphics Features

12 (11_0)
DirectX
12 (11_0)
4.6
OpenGL
4.6
1.1
OpenCL
3.0
N/A
Vulkan
1.3
2.0
CUDA
5.0
5.1
Shader Model
5.1

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