Home GPU Comparison NVIDIA Tesla M2090 vs Intel Data Center GPU Max Subsystem

NVIDIA Tesla M2090 vs Intel Data Center GPU Max Subsystem

We compared two Professional market GPUs: 6GB VRAM Tesla M2090 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 M2090 's Advantages
Lower TDP (250W vs 2400W)
Intel Data Center GPU Max Subsystem 's Advantages
Released 11 years and 6 months late
Boost Clock1600MHz
More VRAM (128GB vs 6GB)
Larger VRAM bandwidth (3205GB/s vs 177.4GB/s)
15872 additional rendering cores

Score

Benchmark

FP32 (float)
Tesla M2090
1.332 TFLOPS
Data Center GPU Max Subsystem +3836%
52.43 TFLOPS
VS

Graphics Card

Jul 2011
Release Date
Jan 2023
Tesla
Generation
Data Center GPU
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 5.0 x16

Clock Speeds

-
Base Clock
900 MHz
-
Boost Clock
1600 MHz
924 MHz
Memory Clock
1565 MHz

Memory

6GB
Memory Size
128GB
GDDR5
Memory Type
HBM2e
384bit
Memory Bus
8192bit
177.4GB/s
Bandwidth
3205GB/s

Render Config

-
-
-
16
SM Count
-
512
Shading Units
16384
64
TMUs
1024
48
ROPs
0
-
Tensor Cores
1024
-
RT Cores
128
64 KB (per SM)
L1 Cache
64 KB (per EU)
768 KB
L2 Cache
408 MB
-
-
-

Theoretical Performance

20.83 GPixel/s
Pixel Rate
0 MPixel/s
41.66 GTexel/s
Texture Rate
1638 GTexel/s
-
FP16 (half)
52.43 TFLOPS
1332 GFLOPS
FP32 (float)
52.43 TFLOPS
666.1 GFLOPS
FP64 (double)
52.43 TFLOPS

Board Design

250W
TDP
2400W
600 W
Suggested PSU
2800 W
No outputs
Outputs
No outputs
1x 6-pin + 1x 8-pin
Power Connectors
1x 16-pin

Graphics Processor

GF110
GPU Name
Ponte Vecchio
-
-
-
Fermi 2.0
Architecture
Generation 12.5
TSMC
Foundry
Intel
40 nm
Process Size
10 nm
3 billion
Transistors
100 billion
520 mm²
Die Size
1280 mm²

Graphics Features

12 (11_0)
DirectX
12 (12_1)
4.6
OpenGL
4.6
1.1
OpenCL
3.0
N/A
Vulkan
N/A
2.0
CUDA
-
5.1
Shader Model
6.6

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