Home GPU Comparison NVIDIA Tesla K8 vs NVIDIA Tesla V100 SXM2 16 GB

NVIDIA Tesla K8 vs NVIDIA Tesla V100 SXM2 16 GB

We compared two Professional market GPUs: 8GB VRAM Tesla K8 and 16GB VRAM Tesla V100 SXM2 16 GB 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 250W)
NVIDIA Tesla V100 SXM2 16 GB 's Advantages
Released 5 years and 2 months late
Boost Clock has increased by 97% (1597MHz vs 811MHz)
More VRAM (16GB vs 8GB)
Larger VRAM bandwidth (1133GB/s vs 160.0GB/s)
3584 additional rendering cores

Score

Benchmark

FP32 (float)
Tesla K8
2.491 TFLOPS
Tesla V100 SXM2 16 GB +556%
16.35 TFLOPS
VS

Graphics Card

Sep 2014
Release Date
Nov 2019
Tesla
Generation
Tesla
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

693 MHz
Base Clock
1245 MHz
811 MHz
Boost Clock
1597 MHz
1250 MHz
Memory Clock
1106 MHz

Memory

8GB
Memory Size
16GB
GDDR5
Memory Type
HBM2
256bit
Memory Bus
4096bit
160.0GB/s
Bandwidth
1133GB/s

Render Config

-
SM Count
80
-
Compute Units
-
1536
Shading Units
5120
128
TMUs
320
32
ROPs
128
-
Tensor Cores
640
-
RT Cores
-
16 KB (per SMX)
L1 Cache
128 KB (per SM)
512 KB
L2 Cache
6 MB

Theoretical Performance

25.95 GPixel/s
Pixel Rate
204.4 GPixel/s
103.8 GTexel/s
Texture Rate
511.0 GTexel/s
-
FP16 (half)
32.71 TFLOPS
2.491 TFLOPS
FP32 (float)
16.35 TFLOPS
103.8 GFLOPS
FP64 (double)
8.177 TFLOPS

Graphics Processor

GK104
GPU Name
GV100
-
GPU Variant
-
Kepler
Architecture
Volta
TSMC
Foundry
TSMC
28 nm
Process Size
12 nm
3.54 billion
Transistors
21.1 billion
294 mm²
Die Size
815 mm²

Board Design

100W
TDP
250W
300 W
Suggested PSU
600 W
No outputs
Outputs
No outputs
1x 6-pin
Power Connectors
None

Graphics Features

12 (11_0)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.1
Vulkan
1.3
3.0
CUDA
7.0
5.1
Shader Model
6.6

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