Home GPU Comparison NVIDIA Tesla K8 vs NVIDIA Quadro RTX 5000 Mobile Refresh

NVIDIA Tesla K8 vs NVIDIA Quadro RTX 5000 Mobile Refresh

We compared two Professional market GPUs: 8GB VRAM Tesla K8 and 16GB VRAM Quadro RTX 5000 Mobile Refresh 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 110W)
NVIDIA Quadro RTX 5000 Mobile Refresh 's Advantages
Released 5 years and 9 months late
Boost Clock has increased by 91% (1545MHz vs 811MHz)
More VRAM (16GB vs 8GB)
Larger VRAM bandwidth (448.0GB/s vs 160.0GB/s)
1536 additional rendering cores

Score

Benchmark

FP32 (float)
Tesla K8
2.491 TFLOPS
Quadro RTX 5000 Mobile Refresh +281%
9.492 TFLOPS
VS

Graphics Card

Sep 2014
Release Date
Jun 2020
Tesla
Generation
Quadro Mobile
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

693 MHz
Base Clock
1035 MHz
811 MHz
Boost Clock
1545 MHz
1250 MHz
Memory Clock
1750 MHz

Memory

8GB
Memory Size
16GB
GDDR5
Memory Type
GDDR6
256bit
Memory Bus
256bit
160.0GB/s
Bandwidth
448.0GB/s

Render Config

-
-
-
-
SM Count
48
1536
Shading Units
3072
128
TMUs
192
32
ROPs
64
-
Tensor Cores
384
-
RT Cores
48
16 KB (per SMX)
L1 Cache
64 KB (per SM)
512 KB
L2 Cache
4 MB
-
-
-

Theoretical Performance

25.95 GPixel/s
Pixel Rate
98.88 GPixel/s
103.8 GTexel/s
Texture Rate
296.6 GTexel/s
-
FP16 (half)
18.98 TFLOPS
2.491 TFLOPS
FP32 (float)
9.492 TFLOPS
103.8 GFLOPS
FP64 (double)
296.6 GFLOPS

Board Design

100W
TDP
110W
300 W
Suggested PSU
-
No outputs
Outputs
No outputs
1x 6-pin
Power Connectors
None

Graphics Processor

GK104
GPU Name
TU104B
-
-
-
Kepler
Architecture
Turing
TSMC
Foundry
TSMC
28 nm
Process Size
12 nm
3.54 billion
Transistors
13.6 billion
294 mm²
Die Size
545 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
7.5
5.1
Shader Model
6.6

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