Intel Data Center GPU Max Subsystem vs NVIDIA Tesla M6
We compared two Professional market GPUs: 128GB VRAM Data Center GPU Max Subsystem and 8GB VRAM Tesla M6 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
Intel Data Center GPU Max Subsystem 's Advantages
Released 7 years and 5 months late
Boost Clock has increased by 36% (1600MHz vs 1180MHz)
More VRAM (128GB vs 8GB)
Larger VRAM bandwidth (3205GB/s vs 160.4GB/s)
14848 additional rendering cores
NVIDIA Tesla M6 's Advantages
Lower TDP (100W vs 2400W)
Score
Benchmark
FP32 (float)
Data Center GPU Max Subsystem
+1346%
52.43 TFLOPS
Tesla M6
3.625 TFLOPS
Graphics Card
Jan 2023
Release Date
Aug 2015
Data Center GPU
Generation
Tesla
Professional
Type
Professional
PCIe 5.0 x16
Bus Interface
PCIe 3.0 x16
Clock Speeds
900 MHz
Base Clock
930 MHz
1600 MHz
Boost Clock
1180 MHz
1565 MHz
Memory Clock
1253 MHz
Memory
128GB
Memory Size
8GB
HBM2e
Memory Type
GDDR5
8192bit
Memory Bus
256bit
3205GB/s
Bandwidth
160.4GB/s
Render Config
-
-
-
-
-
-
16384
Shading Units
1536
1024
TMUs
96
0
ROPs
64
1024
Tensor Cores
-
128
RT Cores
-
64 KB (per EU)
L1 Cache
48 KB (per SMM)
408 MB
L2 Cache
2 MB
-
-
-
Theoretical Performance
0 MPixel/s
Pixel Rate
75.52 GPixel/s
1638 GTexel/s
Texture Rate
113.3 GTexel/s
52.43 TFLOPS
FP16 (half)
-
52.43 TFLOPS
FP32 (float)
3.625 TFLOPS
52.43 TFLOPS
FP64 (double)
113.3 GFLOPS
Board Design
2400W
TDP
100W
2800 W
Suggested PSU
300 W
No outputs
Outputs
No outputs
1x 16-pin
Power Connectors
None
Graphics Processor
Ponte Vecchio
GPU Name
GM204
-
GPU Variant
GM204-995-A1
Generation 12.5
Architecture
Maxwell 2.0
Intel
Foundry
TSMC
10 nm
Process Size
28 nm
100 billion
Transistors
5.2 billion
1280 mm²
Die Size
398 mm²
Graphics Features
12 (12_1)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
N/A
Vulkan
1.3
-
CUDA
5.2
6.6
Shader Model
6.4
