Home GPU Comparison NVIDIA Tesla K40st vs Intel Data Center GPU Max Subsystem

NVIDIA Tesla K40st vs Intel Data Center GPU Max Subsystem

We compared two Professional market GPUs: 12GB VRAM Tesla K40st 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 K40st 's Advantages
Lower TDP (245W vs 2400W)
Intel Data Center GPU Max Subsystem 's Advantages
Released 9 years and 2 months late
Boost Clock1600MHz
More VRAM (128GB vs 12GB)
Larger VRAM bandwidth (3205GB/s vs 288.4GB/s)
13504 additional rendering cores

Score

Benchmark

FP32 (float)
Tesla K40st
3.312 TFLOPS
Data Center GPU Max Subsystem +1483%
52.43 TFLOPS
VS

Graphics Card

Nov 2013
Release Date
Jan 2023
Tesla
Generation
Data Center GPU
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 5.0 x16

Clock Speeds

-
Base Clock
900 MHz
-
Boost Clock
1600 MHz
1502 MHz
Memory Clock
1565 MHz

Memory

12GB
Memory Size
128GB
GDDR5
Memory Type
HBM2e
384bit
Memory Bus
8192bit
288.4GB/s
Bandwidth
3205GB/s

Render Config

-
-
-
-
-
-
2880
Shading Units
16384
240
TMUs
1024
48
ROPs
0
-
Tensor Cores
1024
-
RT Cores
128
16 KB (per SMX)
L1 Cache
64 KB (per EU)
1536 KB
L2 Cache
408 MB
-
-
-

Theoretical Performance

34.50 GPixel/s
Pixel Rate
0 MPixel/s
138.0 GTexel/s
Texture Rate
1638 GTexel/s
-
FP16 (half)
52.43 TFLOPS
3.312 TFLOPS
FP32 (float)
52.43 TFLOPS
1104 GFLOPS
FP64 (double)
52.43 TFLOPS

Board Design

245W
TDP
2400W
550 W
Suggested PSU
2800 W
No outputs
Outputs
No outputs
-
Power Connectors
1x 16-pin

Graphics Processor

GK110B
GPU Name
Ponte Vecchio
-
-
-
Kepler
Architecture
Generation 12.5
TSMC
Foundry
Intel
28 nm
Process Size
10 nm
7.08 billion
Transistors
100 billion
561 mm²
Die Size
1280 mm²

Graphics Features

12 (11_1)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.1
Vulkan
N/A
3.5
CUDA
-
5.1
Shader Model
6.6

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