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

NVIDIA Tesla V100 DGXS 16 GB vs NVIDIA RTX 4000 Ada Generation

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

Main Differences

NVIDIA Tesla V100 DGXS 16 GB 's Advantages
Larger VRAM bandwidth (897.0GB/s vs 360.0GB/s)
NVIDIA RTX 4000 Ada Generation 's Advantages
Released 5 years and 5 months late
Boost Clock has increased by 42% (2175MHz vs 1530MHz)
More VRAM (20GB vs 16GB)
1024 additional rendering cores
Lower TDP (130W vs 250W)

Score

Benchmark

FP32 (float)
Tesla V100 DGXS 16 GB
15.67 TFLOPS
RTX 4000 Ada Generation +70%
26.73 TFLOPS
VS

Graphics Card

Mar 2018
Release Date
Aug 2023
Tesla
Generation
Quadro Ada
Professional
Type
Desktop
PCIe 3.0 x16
Bus Interface
PCIe 4.0 x16

Clock Speeds

1327 MHz
Base Clock
1500 MHz
1530 MHz
Boost Clock
2175 MHz
876 MHz
Memory Clock
2250 MHz

Memory

16GB
Memory Size
20GB
HBM2
Memory Type
GDDR6
4096bit
Memory Bus
160bit
897.0GB/s
Bandwidth
360.0GB/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

195.8 GPixel/s
Pixel Rate
174.0 GPixel/s
489.6 GTexel/s
Texture Rate
417.6 GTexel/s
31.33 TFLOPS
FP16 (half)
26.73 TFLOPS
15.67 TFLOPS
FP32 (float)
26.73 TFLOPS
7.834 TFLOPS
FP64 (double)
417.6 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

250W
TDP
130W
600 W
Suggested PSU
300 W
No outputs
Outputs
4x mini-DisplayPort 1.4a
None
Power Connectors
1x 16-pin

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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