NVIDIA Tesla M2070 Q vs Intel Data Center GPU Max 1100
We compared two Professional market GPUs: 6GB VRAM Tesla M2070 Q and 48GB VRAM Data Center GPU Max 1100 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 300W)
Intel Data Center GPU Max 1100 's Advantages
Released 11 years and 6 months late
Boost Clock1550MHz
More VRAM (48GB vs 6GB)
Larger VRAM bandwidth (1229GB/s vs 150.3GB/s)
6720 additional rendering cores
Score
Benchmark
FP32 (float)
Tesla M2070 Q
1.028 TFLOPS
Data Center GPU Max 1100
+2061%
22.22 TFLOPS
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
1000 MHz
-
Boost Clock
1550 MHz
783 MHz
Memory Clock
600 MHz
Memory
6GB
Memory Size
48GB
GDDR5
Memory Type
HBM2e
384bit
Memory Bus
8192bit
150.3GB/s
Bandwidth
1229GB/s
Render Config
-
-
-
14
SM Count
-
448
Shading Units
7168
56
TMUs
448
48
ROPs
0
-
Tensor Cores
448
-
RT Cores
56
64 KB (per SM)
L1 Cache
64 KB (per EU)
768 KB
L2 Cache
204 MB
-
-
-
Theoretical Performance
16.07 GPixel/s
Pixel Rate
0 MPixel/s
32.14 GTexel/s
Texture Rate
694.4 GTexel/s
-
FP16 (half)
22.22 TFLOPS
1028 GFLOPS
FP32 (float)
22.22 TFLOPS
513.9 GFLOPS
FP64 (double)
22.22 TFLOPS
Board Design
225W
TDP
300W
550 W
Suggested PSU
700 W
No outputs
Outputs
No outputs
1x 6-pin + 1x 8-pin
Power Connectors
1x 12-pin
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
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
