Home GPU Comparison NVIDIA Tesla K8 vs Intel Data Center GPU Max Subsystem

NVIDIA Tesla K8 vs Intel Data Center GPU Max Subsystem

We compared two Professional market GPUs: 8GB VRAM Tesla K8 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 K8 's Advantages
Lower TDP (100W vs 2400W)
Intel Data Center GPU Max Subsystem 's Advantages
Released 8 years and 4 months late
Boost Clock has increased by 97% (1600MHz vs 811MHz)
More VRAM (128GB vs 8GB)
Larger VRAM bandwidth (3205GB/s vs 160.0GB/s)
14848 additional rendering cores

Score

Benchmark

FP32 (float)
Tesla K8
2.491 TFLOPS
Data Center GPU Max Subsystem +2004%
52.43 TFLOPS
VS

Graphics Card

Sep 2014
Release Date
Jan 2023
Tesla
Generation
Data Center GPU
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 5.0 x16

Clock Speeds

693 MHz
Base Clock
900 MHz
811 MHz
Boost Clock
1600 MHz
1250 MHz
Memory Clock
1565 MHz

Memory

8GB
Memory Size
128GB
GDDR5
Memory Type
HBM2e
256bit
Memory Bus
8192bit
160.0GB/s
Bandwidth
3205GB/s

Render Config

-
-
-
-
-
-
1536
Shading Units
16384
128
TMUs
1024
32
ROPs
0
-
Tensor Cores
1024
-
RT Cores
128
16 KB (per SMX)
L1 Cache
64 KB (per EU)
512 KB
L2 Cache
408 MB
-
-
-

Theoretical Performance

25.95 GPixel/s
Pixel Rate
0 MPixel/s
103.8 GTexel/s
Texture Rate
1638 GTexel/s
-
FP16 (half)
52.43 TFLOPS
2.491 TFLOPS
FP32 (float)
52.43 TFLOPS
103.8 GFLOPS
FP64 (double)
52.43 TFLOPS

Board Design

100W
TDP
2400W
300 W
Suggested PSU
2800 W
No outputs
Outputs
No outputs
1x 6-pin
Power Connectors
1x 16-pin

Graphics Processor

GK104
GPU Name
Ponte Vecchio
-
-
-
Kepler
Architecture
Generation 12.5
TSMC
Foundry
Intel
28 nm
Process Size
10 nm
3.54 billion
Transistors
100 billion
294 mm²
Die Size
1280 mm²

Graphics Features

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

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