Home GPU Comparison NVIDIA Tesla V100 PCIe 16 GB vs NVIDIA RTX 4000 SFF Ada Generation

NVIDIA Tesla V100 PCIe 16 GB vs NVIDIA RTX 4000 SFF Ada Generation

We compared two Professional market GPUs: 16GB VRAM Tesla V100 PCIe 16 GB and 20GB VRAM RTX 4000 SFF Ada Generation to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 PCIe 16 GB 's Advantages
Larger VRAM bandwidth (897.0GB/s vs 280.0GB/s)
NVIDIA RTX 4000 SFF Ada Generation 's Advantages
Released 5 years and 9 months late
Boost Clock has increased by 13% (1560MHz vs 1380MHz)
More VRAM (20GB vs 16GB)
1024 additional rendering cores
Lower TDP (70W vs 300W)

Score

Benchmark

FP32 (float)
Tesla V100 PCIe 16 GB
14.13 TFLOPS
RTX 4000 SFF Ada Generation +35%
19.17 TFLOPS
VS

Graphics Card

Jun 2017
Release Date
Mar 2023
Tesla
Generation
Quadro Ada
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 4.0 x16

Clock Speeds

1245 MHz
Base Clock
720 MHz
1380 MHz
Boost Clock
1560 MHz
876 MHz
Memory Clock
1750 MHz

Memory

16GB
Memory Size
20GB
HBM2
Memory Type
GDDR6
4096bit
Memory Bus
160bit
897.0GB/s
Bandwidth
280.0GB/s

Render Config

80
SM Count
48
-
Compute Units
-
5120
Shading Units
6144
320
TMUs
192
128
ROPs
80
640
Tensor Cores
192
-
RT Cores
48
128 KB (per SM)
L1 Cache
128 KB (per SM)
6 MB
L2 Cache
48 MB

Theoretical Performance

176.6 GPixel/s
Pixel Rate
124.8 GPixel/s
441.6 GTexel/s
Texture Rate
299.5 GTexel/s
28.26 TFLOPS
FP16 (half)
19.17 TFLOPS
14.13 TFLOPS
FP32 (float)
19.17 TFLOPS
7.066 TFLOPS
FP64 (double)
299.5 GFLOPS

Graphics Processor

GV100
GPU Name
AD104
-
GPU Variant
-
Volta
Architecture
Ada Lovelace
TSMC
Foundry
TSMC
12 nm
Process Size
5 nm
21.1 billion
Transistors
35.8 billion
815 mm²
Die Size
294 mm²

Board Design

300W
TDP
70W
700 W
Suggested PSU
250 W
No outputs
Outputs
4x mini-DisplayPort 1.4a
2x 8-pin
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
8.9
6.6
Shader Model
6.7

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