Home GPU Comparison NVIDIA Tesla V100 SXM2 16 GB vs Intel Data Center GPU Max Subsystem

NVIDIA Tesla V100 SXM2 16 GB vs Intel Data Center GPU Max Subsystem

We compared two Professional market GPUs: 16GB VRAM Tesla V100 SXM2 16 GB and 128GB VRAM Data Center GPU Max Subsystem to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 SXM2 16 GB 's Advantages
Lower TDP (250W vs 2400W)
Intel Data Center GPU Max Subsystem 's Advantages
Released 3 years and 2 months late
Boost Clock has increased by 0% (1600MHz vs 1597MHz)
More VRAM (128GB vs 16GB)
Larger VRAM bandwidth (3205GB/s vs 1133GB/s)
11264 additional rendering cores

Score

Benchmark

FP32 (float)
Tesla V100 SXM2 16 GB
16.35 TFLOPS
Data Center GPU Max Subsystem +220%
52.43 TFLOPS
VS

Graphics Card

Nov 2019
Release Date
Jan 2023
Tesla
Generation
Data Center GPU
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 5.0 x16

Clock Speeds

1245 MHz
Base Clock
900 MHz
1597 MHz
Boost Clock
1600 MHz
1106 MHz
Memory Clock
1565 MHz

Memory

16GB
Memory Size
128GB
HBM2
Memory Type
HBM2e
4096bit
Memory Bus
8192bit
1133GB/s
Bandwidth
3205GB/s

Render Config

-
-
-
80
SM Count
-
5120
Shading Units
16384
320
TMUs
1024
128
ROPs
0
640
Tensor Cores
1024
-
RT Cores
128
128 KB (per SM)
L1 Cache
64 KB (per EU)
6 MB
L2 Cache
408 MB
-
-
-

Theoretical Performance

204.4 GPixel/s
Pixel Rate
0 MPixel/s
511.0 GTexel/s
Texture Rate
1638 GTexel/s
32.71 TFLOPS
FP16 (half)
52.43 TFLOPS
16.35 TFLOPS
FP32 (float)
52.43 TFLOPS
8.177 TFLOPS
FP64 (double)
52.43 TFLOPS

Board Design

250W
TDP
2400W
600 W
Suggested PSU
2800 W
No outputs
Outputs
No outputs
None
Power Connectors
1x 16-pin

Graphics Processor

GV100
GPU Name
Ponte Vecchio
-
-
-
Volta
Architecture
Generation 12.5
TSMC
Foundry
Intel
12 nm
Process Size
10 nm
21.1 billion
Transistors
100 billion
815 mm²
Die Size
1280 mm²

Graphics Features

12 (12_1)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
N/A
7.0
CUDA
-
6.6
Shader Model
6.6

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