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