Home GPU Comparison NVIDIA Tesla M1060 vs Intel Data Center GPU Max Subsystem

NVIDIA Tesla M1060 vs Intel Data Center GPU Max Subsystem

We compared two Professional market GPUs: 2GB VRAM Tesla M1060 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 M1060 's Advantages
Lower TDP (188W vs 2400W)
Intel Data Center GPU Max Subsystem 's Advantages
Released 14 years and 7 months late
Boost Clock1600MHz
More VRAM (128GB vs 2GB)
Larger VRAM bandwidth (3205GB/s vs 102.4GB/s)
16144 additional rendering cores

Score

Benchmark

FP32 (float)
Tesla M1060
0.622 TFLOPS
Data Center GPU Max Subsystem +8329%
52.43 TFLOPS
VS

Graphics Card

Jun 2008
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
800 MHz
Memory Clock
1565 MHz

Memory

2GB
Memory Size
128GB
GDDR3
Memory Type
HBM2e
512bit
Memory Bus
8192bit
102.4GB/s
Bandwidth
3205GB/s

Render Config

-
-
-
30
SM Count
-
240
Shading Units
16384
80
TMUs
1024
32
ROPs
0
-
Tensor Cores
1024
-
RT Cores
128
-
L1 Cache
64 KB (per EU)
256 KB
L2 Cache
408 MB
-
-
-

Theoretical Performance

19.52 GPixel/s
Pixel Rate
0 MPixel/s
48.80 GTexel/s
Texture Rate
1638 GTexel/s
-
FP16 (half)
52.43 TFLOPS
622.1 GFLOPS
FP32 (float)
52.43 TFLOPS
77.76 GFLOPS
FP64 (double)
52.43 TFLOPS

Board Design

188W
TDP
2400W
450 W
Suggested PSU
2800 W
No outputs
Outputs
No outputs
1x 6-pin + 1x 8-pin
Power Connectors
1x 16-pin

Graphics Processor

GT200B
GPU Name
Ponte Vecchio
-
-
-
Tesla 2.0
Architecture
Generation 12.5
TSMC
Foundry
Intel
55 nm
Process Size
10 nm
1.4 billion
Transistors
100 billion
470 mm²
Die Size
1280 mm²

Graphics Features

11.1 (10_0)
DirectX
12 (12_1)
3.3
OpenGL
4.6
1.1
OpenCL
3.0
N/A
Vulkan
N/A
1.3
CUDA
-
4.0
Shader Model
6.6

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