Home GPU Comparison NVIDIA Quadro 400 vs NVIDIA Tesla C2090

NVIDIA Quadro 400 vs NVIDIA Tesla C2090

We compared two Professional market GPUs: 512MB VRAM Quadro 400 and 6GB VRAM Tesla C2090 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro 400 's Advantages
Lower TDP (32W vs 250W)
NVIDIA Tesla C2090 's Advantages
More VRAM (6GB vs 512GB)
Larger VRAM bandwidth (177.4GB/s vs 12.32GB/s)
464 additional rendering cores

Score

Benchmark

FP32 (float)
Quadro 400
0.108 TFLOPS
Tesla C2090 +1133%
1.332 TFLOPS
VS

Graphics Card

Apr 2011
Release Date
Jul 2011
Quadro
Generation
Tesla
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 2.0 x16

Clock Speeds

-
-
-
-
-
-
770 MHz
Memory Clock
924 MHz

Memory

512MB
Memory Size
6GB
DDR3
Memory Type
GDDR5
64bit
Memory Bus
384bit
12.32GB/s
Bandwidth
177.4GB/s

Render Config

-
-
-
6
SM Count
16
48
Shading Units
512
16
TMUs
64
8
ROPs
48
-
-
-
-
-
-
-
L1 Cache
64 KB (per SM)
32 KB
L2 Cache
768 KB
-
-
-

Theoretical Performance

3.600 GPixel/s
Pixel Rate
20.83 GPixel/s
7.200 GTexel/s
Texture Rate
41.66 GTexel/s
-
-
-
108.0 GFLOPS
FP32 (float)
1332 GFLOPS
-
FP64 (double)
666.1 GFLOPS

Board Design

32W
TDP
250W
200 W
Suggested PSU
600 W
1x DVI 1x DisplayPort
Outputs
No outputs
None
Power Connectors
-

Graphics Processor

GT216
GPU Name
GF110
GT216 GL
GPU Variant
-
Tesla 2.0
Architecture
Fermi 2.0
TSMC
Foundry
TSMC
40 nm
Process Size
40 nm
0.486 billion
Transistors
3 billion
100 mm²
Die Size
520 mm²

Graphics Features

11.1 (10_1)
DirectX
12 (11_0)
3.3
OpenGL
4.6
1.1
OpenCL
1.1
N/A
Vulkan
N/A
1.2
CUDA
2.0
4.1
Shader Model
5.1

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