Home GPU Comparison NVIDIA Tesla M2070 Q vs Intel Data Center GPU Max Subsystem

NVIDIA Tesla M2070 Q vs Intel Data Center GPU Max Subsystem

We compared two Professional market GPUs: 6GB VRAM Tesla M2070 Q 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 M2070 Q 's Advantages
Lower TDP (225W 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 150.3GB/s)
15936 additional rendering cores

Score

Benchmark

FP32 (float)
Tesla M2070 Q
1.028 TFLOPS
Data Center GPU Max Subsystem +5000%
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
783 MHz
Memory Clock
1565 MHz

Memory

6GB
Memory Size
128GB
GDDR5
Memory Type
HBM2e
384bit
Memory Bus
8192bit
150.3GB/s
Bandwidth
3205GB/s

Render Config

14
SM Count
-
-
Compute Units
-
448
Shading Units
16384
56
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

16.07 GPixel/s
Pixel Rate
0 MPixel/s
32.14 GTexel/s
Texture Rate
1638 GTexel/s
-
FP16 (half)
52.43 TFLOPS
1028 GFLOPS
FP32 (float)
52.43 TFLOPS
513.9 GFLOPS
FP64 (double)
52.43 TFLOPS

Graphics Processor

GF100
GPU Name
Ponte Vecchio
GF100-876-A1
GPU Variant
-
Fermi
Architecture
Generation 12.5
TSMC
Foundry
Intel
40 nm
Process Size
10 nm
3.1 billion
Transistors
100 billion
529 mm²
Die Size
1280 mm²

Board Design

225W
TDP
2400W
550 W
Suggested PSU
2800 W
No outputs
Outputs
No outputs
1x 6-pin + 1x 8-pin
Power Connectors
1x 16-pin

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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