NVIDIA Tesla K8 vs Intel Data Center GPU Max 1350
We compared two Professional market GPUs: 8GB VRAM Tesla K8 and 96GB VRAM Data Center GPU Max 1350 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 450W)
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
Score
Benchmark
FP32 (float)
Tesla K8
2.491 TFLOPS
Data Center GPU Max 1350
+1684%
44.44 TFLOPS
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
750 MHz
811 MHz
Boost Clock
1550 MHz
1250 MHz
Memory Clock
1200 MHz
Memory
8GB
Memory Size
96GB
GDDR5
Memory Type
HBM2e
256bit
Memory Bus
8192bit
160.0GB/s
Bandwidth
2458GB/s
Render Config
-
-
-
-
-
-
1536
Shading Units
14336
128
TMUs
896
32
ROPs
0
-
Tensor Cores
896
-
RT Cores
112
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
1389 GTexel/s
-
FP16 (half)
44.44 TFLOPS
2.491 TFLOPS
FP32 (float)
44.44 TFLOPS
103.8 GFLOPS
FP64 (double)
44.44 TFLOPS
Board Design
100W
TDP
450W
300 W
Suggested PSU
850 W
No outputs
Outputs
No outputs
1x 6-pin
Power Connectors
-
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
