Home GPU Comparison NVIDIA Tesla C870 vs Intel Data Center GPU Max Subsystem

NVIDIA Tesla C870 vs Intel Data Center GPU Max Subsystem

We compared two Professional market GPUs: 1536MB VRAM Tesla C870 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 C870 's Advantages
Lower TDP (171W vs 2400W)
Intel Data Center GPU Max Subsystem 's Advantages
Released 15 years and 8 months late
Boost Clock1600MHz
More VRAM (128GB vs 1GB)
Larger VRAM bandwidth (3205GB/s vs 76.80GB/s)
16256 additional rendering cores

Score

Benchmark

FP32 (float)
Tesla C870
0.346 TFLOPS
Data Center GPU Max Subsystem +15053%
52.43 TFLOPS
VS

Graphics Card

May 2007
Release Date
Jan 2023
Tesla
Generation
Data Center GPU
Professional
Type
Professional
PCIe 1.0 x16
Bus Interface
PCIe 5.0 x16

Clock Speeds

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

Memory

1536MB
Memory Size
128GB
GDDR3
Memory Type
HBM2e
384bit
Memory Bus
8192bit
76.80GB/s
Bandwidth
3205GB/s

Render Config

16
SM Count
-
-
Compute Units
-
128
Shading Units
16384
32
TMUs
1024
24
ROPs
0
-
Tensor Cores
1024
-
RT Cores
128
-
L1 Cache
64 KB (per EU)
96 KB
L2 Cache
408 MB

Theoretical Performance

14.40 GPixel/s
Pixel Rate
0 MPixel/s
38.40 GTexel/s
Texture Rate
1638 GTexel/s
-
FP16 (half)
52.43 TFLOPS
345.6 GFLOPS
FP32 (float)
52.43 TFLOPS
-
FP64 (double)
52.43 TFLOPS

Graphics Processor

G80
GPU Name
Ponte Vecchio
-
GPU Variant
-
Tesla
Architecture
Generation 12.5
TSMC
Foundry
Intel
90 nm
Process Size
10 nm
0.681 billion
Transistors
100 billion
484 mm²
Die Size
1280 mm²

Board Design

171W
TDP
2400W
450 W
Suggested PSU
2800 W
No outputs
Outputs
No outputs
2x 6-pin
Power Connectors
1x 16-pin

Graphics Features

11.1 (10_0)
DirectX
12 (12_1)
3.3
OpenGL
4.6
1.1 (1.0)
OpenCL
3.0
N/A
Vulkan
N/A
1.0
CUDA
-
4.0
Shader Model
6.6

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