Intel Data Center GPU Max 1350 vs NVIDIA Tesla K8
We compared two Professional market GPUs: 96GB VRAM Data Center GPU Max 1350 and 8GB VRAM Tesla K8 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
Intel Data Center GPU Max 1350 's Advantages
Released 8 years and 4 months late
Boost Clock has increased by 91% (1550MHz vs 811MHz)
More VRAM (96GB vs 8GB)
Larger VRAM bandwidth (2458GB/s vs 160.0GB/s)
12800 additional rendering cores
NVIDIA Tesla K8 's Advantages
Lower TDP (100W vs 450W)
Score
Benchmark
FP32 (float)
Data Center GPU Max 1350
+1684%
44.44 TFLOPS
Tesla K8
2.491 TFLOPS
Graphics Card
Jan 2023
Release Date
Sep 2014
Data Center GPU
Generation
Tesla
Professional
Type
Professional
PCIe 5.0 x16
Bus Interface
PCIe 2.0 x16
Clock Speeds
750 MHz
Base Clock
693 MHz
1550 MHz
Boost Clock
811 MHz
1200 MHz
Memory Clock
1250 MHz
Memory
96GB
Memory Size
8GB
HBM2e
Memory Type
GDDR5
8192bit
Memory Bus
256bit
2458GB/s
Bandwidth
160.0GB/s
Render Config
-
-
-
-
-
-
14336
Shading Units
1536
896
TMUs
128
0
ROPs
32
896
Tensor Cores
-
112
RT Cores
-
64 KB (per EU)
L1 Cache
16 KB (per SMX)
408 MB
L2 Cache
512 KB
-
-
-
Theoretical Performance
0 MPixel/s
Pixel Rate
25.95 GPixel/s
1389 GTexel/s
Texture Rate
103.8 GTexel/s
44.44 TFLOPS
FP16 (half)
-
44.44 TFLOPS
FP32 (float)
2.491 TFLOPS
44.44 TFLOPS
FP64 (double)
103.8 GFLOPS
Board Design
450W
TDP
100W
850 W
Suggested PSU
300 W
No outputs
Outputs
No outputs
-
Power Connectors
1x 6-pin
Graphics Processor
Ponte Vecchio
GPU Name
GK104
-
-
-
Generation 12.5
Architecture
Kepler
Intel
Foundry
TSMC
10 nm
Process Size
28 nm
100 billion
Transistors
3.54 billion
1280 mm²
Die Size
294 mm²
Graphics Features
12 (12_1)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
N/A
Vulkan
1.1
-
CUDA
3.0
6.6
Shader Model
5.1
