NVIDIA Tesla V100 FHHL vs NVIDIA RTX A1000 Embedded
We compared two Professional market GPUs: 16GB VRAM Tesla V100 FHHL and 4GB VRAM RTX A1000 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 224.0GB/s)
3072 additional rendering cores
NVIDIA RTX A1000 Embedded 's Advantages
Released 3 years and 10 months late
Boost Clock has increased by 26% (1627MHz vs 1290MHz)
Lower TDP (60W vs 250W)
Score
Benchmark
FP32 (float)
Tesla V100 FHHL
+98%
13.21 TFLOPS
RTX A1000 Embedded
6.664 TFLOPS
Graphics Card
Mar 2018
Release Date
Jan 2022
Tesla
Generation
Quadro Mobile
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 4.0 x16
Clock Speeds
937 MHz
Base Clock
1192 MHz
1290 MHz
Boost Clock
1627 MHz
810 MHz
Memory Clock
1750 MHz
Memory
16GB
Memory Size
4GB
HBM2
Memory Type
GDDR6
4096bit
Memory Bus
128bit
829.4GB/s
Bandwidth
224.0GB/s
Render Config
-
-
-
80
SM Count
16
5120
Shading Units
2048
320
TMUs
64
128
ROPs
48
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
78.10 GPixel/s
412.8 GTexel/s
Texture Rate
104.1 GTexel/s
26.42 TFLOPS
FP16 (half)
6.664 TFLOPS
13.21 TFLOPS
FP32 (float)
6.664 TFLOPS
6.605 TFLOPS
FP64 (double)
104.1 GFLOPS
Board Design
250W
TDP
60W
600 W
Suggested PSU
-
No outputs
Outputs
No outputs
1x 8-pin
Power Connectors
None
Graphics Processor
GV100
GPU Name
GA107S
-
-
-
Volta
Architecture
Ampere
TSMC
Foundry
Samsung
12 nm
Process Size
8 nm
21.1 billion
Transistors
Unknown
815 mm²
Die Size
Unknown
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
6.6
