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

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

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

Main Differences

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)
NVIDIA Tesla V100 PCIe 16 GB 's Advantages
Larger VRAM bandwidth (897.0GB/s vs 280.0GB/s)

Score

Benchmark

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

Graphics Card

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

Clock Speeds

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

Memory

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

Render Config

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

Theoretical Performance

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

Graphics Processor

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

Board Design

70W
TDP
300W
250 W
Suggested PSU
700 W
4x mini-DisplayPort 1.4a
Outputs
No outputs
None
Power Connectors
2x 8-pin

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
8.9
CUDA
7.0
6.7
Shader Model
6.6

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