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

NVIDIA Tesla V100 FHHL vs NVIDIA RTX A500 Embedded

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

Main Differences

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
NVIDIA RTX A500 Embedded 's Advantages
Released 4 years late
Boost Clock has increased by 3% (1335MHz vs 1290MHz)
Lower TDP (20W vs 250W)

Score

Benchmark

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

Graphics Card

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

Clock Speeds

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

Memory

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

Render Config

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

Theoretical Performance

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

Graphics Processor

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

Board Design

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

Graphics Features

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

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