Home GPU Comparison NVIDIA RTX A500 Embedded vs NVIDIA Tesla V100 FHHL

NVIDIA RTX A500 Embedded vs NVIDIA Tesla V100 FHHL

We compared two Professional market GPUs: 4GB VRAM RTX A500 Embedded and 16GB VRAM Tesla V100 FHHL to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA RTX A500 Embedded 's Advantages
Released 4 years late
Boost Clock has increased by 3% (1335MHz vs 1290MHz)
Lower TDP (20W vs 250W)
NVIDIA Tesla V100 FHHL 's Advantages
More VRAM (16GB vs 4GB)
Larger VRAM bandwidth (829.4GB/s vs 96.00GB/s)
3072 additional rendering cores

Score

Benchmark

FP32 (float)
RTX A500 Embedded
5.468 TFLOPS
Tesla V100 FHHL +141%
13.21 TFLOPS
VS

Graphics Card

Mar 2022
Release Date
Mar 2018
Quadro Ampere-M
Generation
Tesla
Professional
Type
Professional
PCIe 4.0 x8
Bus Interface
PCIe 3.0 x16

Clock Speeds

435 MHz
Base Clock
937 MHz
1335 MHz
Boost Clock
1290 MHz
1500 MHz
Memory Clock
810 MHz

Memory

4GB
Memory Size
16GB
GDDR6
Memory Type
HBM2
64bit
Memory Bus
4096bit
96.00GB/s
Bandwidth
829.4GB/s

Render Config

16
SM Count
80
-
Compute Units
-
2048
Shading Units
5120
64
TMUs
320
32
ROPs
128
64
Tensor Cores
640
16
RT Cores
-
128 KB (per SM)
L1 Cache
128 KB (per SM)
2 MB
L2 Cache
6 MB

Theoretical Performance

42.72 GPixel/s
Pixel Rate
165.1 GPixel/s
85.44 GTexel/s
Texture Rate
412.8 GTexel/s
5.468 TFLOPS
FP16 (half)
26.42 TFLOPS
5.468 TFLOPS
FP32 (float)
13.21 TFLOPS
85.44 GFLOPS
FP64 (double)
6.605 TFLOPS

Graphics Processor

GA107S
GPU Name
GV100
-
GPU Variant
-
Ampere
Architecture
Volta
Samsung
Foundry
TSMC
8 nm
Process Size
12 nm
8.7 billion
Transistors
21.1 billion
200 mm²
Die Size
815 mm²

Board Design

20W
TDP
250W
-
Suggested PSU
600 W
Portable Device Dependent
Outputs
No outputs
None
Power Connectors
1x 8-pin

Graphics Features

12 Ultimate (12_2)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
8.6
CUDA
7.0
6.7
Shader Model
6.6

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