Home GPU Comparison NVIDIA RTX A500 Embedded vs NVIDIA Tesla M2075

NVIDIA RTX A500 Embedded vs NVIDIA Tesla M2075

We compared two Professional market GPUs: 4GB VRAM RTX A500 Embedded and 6GB VRAM Tesla M2075 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA RTX A500 Embedded 's Advantages
Released 10 years and 8 months late
Boost Clock1335MHz
1600 additional rendering cores
Lower TDP (20W vs 225W)
NVIDIA Tesla M2075 's Advantages
More VRAM (6GB vs 4GB)
Larger VRAM bandwidth (150.3GB/s vs 96.00GB/s)

Score

Benchmark

FP32 (float)
RTX A500 Embedded +431%
5.468 TFLOPS
Tesla M2075
1.028 TFLOPS
VS

Graphics Card

Mar 2022
Release Date
Jul 2011
Quadro Ampere-M
Generation
Tesla
Professional
Type
Professional
PCIe 4.0 x8
Bus Interface
PCIe 2.0 x16

Clock Speeds

435 MHz
Base Clock
-
1335 MHz
Boost Clock
-
1500 MHz
Memory Clock
783 MHz

Memory

4GB
Memory Size
6GB
GDDR6
Memory Type
GDDR5
64bit
Memory Bus
384bit
96.00GB/s
Bandwidth
150.3GB/s

Render Config

-
-
-
16
SM Count
14
2048
Shading Units
448
64
TMUs
56
32
ROPs
48
64
Tensor Cores
-
16
RT Cores
-
128 KB (per SM)
L1 Cache
64 KB (per SM)
2 MB
L2 Cache
768 KB
-
-
-

Theoretical Performance

42.72 GPixel/s
Pixel Rate
16.07 GPixel/s
85.44 GTexel/s
Texture Rate
32.14 GTexel/s
5.468 TFLOPS
FP16 (half)
-
5.468 TFLOPS
FP32 (float)
1028 GFLOPS
85.44 GFLOPS
FP64 (double)
513.9 GFLOPS

Board Design

20W
TDP
225W
-
Suggested PSU
550 W
Portable Device Dependent
Outputs
No outputs
None
Power Connectors
1x 6-pin + 1x 8-pin

Graphics Processor

GA107S
GPU Name
GF110
-
GPU Variant
GF110-876-A1
Ampere
Architecture
Fermi 2.0
Samsung
Foundry
TSMC
8 nm
Process Size
40 nm
8.7 billion
Transistors
3 billion
200 mm²
Die Size
520 mm²

Graphics Features

12 Ultimate (12_2)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
1.1
1.3
Vulkan
N/A
8.6
CUDA
2.0
6.7
Shader Model
5.1

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