Home GPU Comparison NVIDIA Tesla V100 SXM2 32 GB vs NVIDIA RTX A1000 Embedded

NVIDIA Tesla V100 SXM2 32 GB vs NVIDIA RTX A1000 Embedded

We compared two Professional market GPUs: 32GB VRAM Tesla V100 SXM2 32 GB 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 SXM2 32 GB 's Advantages
More VRAM (32GB vs 4GB)
Larger VRAM bandwidth (897.0GB/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 6% (1627MHz vs 1530MHz)
Lower TDP (60W vs 250W)

Score

Benchmark

FP32 (float)
Tesla V100 SXM2 32 GB +135%
15.67 TFLOPS
RTX A1000 Embedded
6.664 TFLOPS
Blender
Tesla V100 SXM2 32 GB +67%
2173
RTX A1000 Embedded
1297
VS

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

1290 MHz
Base Clock
1192 MHz
1530 MHz
Boost Clock
1627 MHz
876 MHz
Memory Clock
1750 MHz

Memory

32GB
Memory Size
4GB
HBM2
Memory Type
GDDR6
4096bit
Memory Bus
128bit
897.0GB/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

195.8 GPixel/s
Pixel Rate
78.10 GPixel/s
489.6 GTexel/s
Texture Rate
104.1 GTexel/s
31.33 TFLOPS
FP16 (half)
6.664 TFLOPS
15.67 TFLOPS
FP32 (float)
6.664 TFLOPS
7.834 TFLOPS
FP64 (double)
104.1 GFLOPS

Board Design

250W
TDP
60W
600 W
Suggested PSU
-
No outputs
Outputs
No outputs
None
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

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