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GPU Comparison
NVIDIA Tesla K10 vs Intel Data Center GPU Flex 170
NVIDIA Tesla K10 vs Intel Data Center GPU Flex 170
VS
NVIDIA Tesla K10
Intel Data Center GPU Flex 170
We compared two Professional market GPUs: 4GB VRAM Tesla K10 and 16GB VRAM Data Center GPU Flex 170 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
Intel Data Center GPU Flex 170 's Advantages
Released 10 years and 3 months late
Boost Clock2050MHz
More VRAM (16GB vs 4GB)
Larger VRAM bandwidth (512.0GB/s vs 160.0GB/s)
2560 additional rendering cores
Lower TDP (150W vs 225W)
Score
Benchmark
FP32 (float)
Tesla K10
2.289 TFLOPS
Data Center GPU Flex 170
+633%
16.79 TFLOPS
NVIDIA Tesla K10
VS
Intel Data Center GPU Flex 170
Graphics Card
May 2012
Release Date
Aug 2022
Tesla
Generation
Data Center GPU
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 4.0 x16
Clock Speeds
-
Base Clock
1950 MHz
-
Boost Clock
2050 MHz
1250 MHz
Memory Clock
2000 MHz
Memory
4GB
Memory Size
16GB
GDDR5
Memory Type
GDDR6
256bit
Memory Bus
256bit
160.0GB/s
Bandwidth
512.0GB/s
Render Config
-
-
-
-
-
-
1536
Shading Units
4096
128
TMUs
256
32
ROPs
128
-
-
-
-
RT Cores
32
16 KB (per SMX)
L1 Cache
-
512 KB
L2 Cache
16 MB
-
-
-
Theoretical Performance
23.84 GPixel/s
Pixel Rate
262.4 GPixel/s
95.36 GTexel/s
Texture Rate
524.8 GTexel/s
-
FP16 (half)
33.59 TFLOPS
2.289 TFLOPS
FP32 (float)
16.79 TFLOPS
95.36 GFLOPS
FP64 (double)
-
Board Design
225W
TDP
150W
550 W
Suggested PSU
450 W
No outputs
Outputs
1x HDMI 2.1 3x DisplayPort 2.0
1x 6-pin + 1x 8-pin
Power Connectors
1x 8-pin
Graphics Processor
GK104
GPU Name
DG2-512
-
GPU Variant
ACM-G10
Kepler
Architecture
Generation 12.7
TSMC
Foundry
TSMC
28 nm
Process Size
6 nm
3.54 billion
Transistors
21.7 billion
294 mm²
Die Size
406 mm²
Graphics Features
12 (11_0)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.1
Vulkan
1.3
3.0
CUDA
-
5.1
Shader Model
6.6
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