NVIDIA RTX A4500 Embedded vs NVIDIA Tesla V100 FHHL
We compared two Professional market GPUs: 16GB VRAM RTX A4500 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 A4500 Embedded 's Advantages
Released 4 years late
768 additional rendering cores
Lower TDP (80W vs 250W)
NVIDIA Tesla V100 FHHL 's Advantages
Boost Clock has increased by 6% (1290MHz vs 1215MHz)
Larger VRAM bandwidth (829.4GB/s vs 384.0GB/s)
Score
Benchmark
FP32 (float)
RTX A4500 Embedded
+8%
14.31 TFLOPS
Tesla V100 FHHL
13.21 TFLOPS
Graphics Card
Mar 2022
Release Date
Mar 2018
Quadro Ampere-M
Generation
Tesla
Professional
Type
Professional
PCIe 4.0 x16
Bus Interface
PCIe 3.0 x16
Clock Speeds
510 MHz
Base Clock
937 MHz
1215 MHz
Boost Clock
1290 MHz
1500 MHz
Memory Clock
810 MHz
Memory
16GB
Memory Size
16GB
GDDR6
Memory Type
HBM2
256bit
Memory Bus
4096bit
384.0GB/s
Bandwidth
829.4GB/s
Render Config
-
-
-
46
SM Count
80
5888
Shading Units
5120
184
TMUs
320
96
ROPs
128
184
Tensor Cores
640
46
RT Cores
-
128 KB (per SM)
L1 Cache
128 KB (per SM)
4 MB
L2 Cache
6 MB
-
-
-
Theoretical Performance
116.6 GPixel/s
Pixel Rate
165.1 GPixel/s
223.6 GTexel/s
Texture Rate
412.8 GTexel/s
14.31 TFLOPS
FP16 (half)
26.42 TFLOPS
14.31 TFLOPS
FP32 (float)
13.21 TFLOPS
223.6 GFLOPS
FP64 (double)
6.605 TFLOPS
Board Design
80W
TDP
250W
-
Suggested PSU
600 W
Portable Device Dependent
Outputs
No outputs
None
Power Connectors
1x 8-pin
Graphics Processor
GA104
GPU Name
GV100
-
-
-
Ampere
Architecture
Volta
Samsung
Foundry
TSMC
8 nm
Process Size
12 nm
17.4 billion
Transistors
21.1 billion
392 mm²
Die Size
815 mm²
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
