Home GPU Comparison NVIDIA Tesla V100 SXM2 32 GB vs NVIDIA RTX A4500 Max-Q

NVIDIA Tesla V100 SXM2 32 GB vs NVIDIA RTX A4500 Max-Q

We compared two Professional market GPUs: 32GB VRAM Tesla V100 SXM2 32 GB and 16GB VRAM RTX A4500 Max Q 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
Boost Clock has increased by 26% (1530MHz vs 1215MHz)
More VRAM (32GB vs 16GB)
Larger VRAM bandwidth (897.0GB/s vs 448.0GB/s)
NVIDIA RTX A4500 Max-Q 's Advantages
Released 4 years late
768 additional rendering cores
Lower TDP (80W vs 250W)

Score

Benchmark

FP32 (float)
Tesla V100 SXM2 32 GB +9%
15.67 TFLOPS
RTX A4500 Max Q
14.31 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 x16

Clock Speeds

1290 MHz
Base Clock
510 MHz
1530 MHz
Boost Clock
1215 MHz
876 MHz
Memory Clock
1750 MHz

Memory

32GB
Memory Size
16GB
HBM2
Memory Type
GDDR6
4096bit
Memory Bus
256bit
897.0GB/s
Bandwidth
448.0GB/s

Render Config

80
SM Count
46
-
Compute Units
-
5120
Shading Units
5888
320
TMUs
184
128
ROPs
96
640
Tensor Cores
184
-
RT Cores
46
128 KB (per SM)
L1 Cache
128 KB (per SM)
6 MB
L2 Cache
4 MB

Theoretical Performance

195.8 GPixel/s
Pixel Rate
116.6 GPixel/s
489.6 GTexel/s
Texture Rate
223.6 GTexel/s
31.33 TFLOPS
FP16 (half)
14.31 TFLOPS
15.67 TFLOPS
FP32 (float)
14.31 TFLOPS
7.834 TFLOPS
FP64 (double)
223.6 GFLOPS

Graphics Processor

GV100
GPU Name
GA104
-
GPU Variant
-
Volta
Architecture
Ampere
TSMC
Foundry
Samsung
12 nm
Process Size
8 nm
21.1 billion
Transistors
17.4 billion
815 mm²
Die Size
392 mm²

Board Design

250W
TDP
80W
600 W
Suggested PSU
-
No outputs
Outputs
Portable Device Dependent
None
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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