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

NVIDIA Quadro RTX 5000 Mobile Refresh vs NVIDIA Tesla K8

We compared two Professional market GPUs: 16GB VRAM Quadro RTX 5000 Mobile Refresh and 8GB VRAM Tesla K8 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

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
NVIDIA Tesla K8 's Advantages
Lower TDP (100W vs 110W)

Score

Benchmark

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

Graphics Card

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

Clock Speeds

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

Memory

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

Render Config

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

Theoretical Performance

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

Board Design

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

Graphics Processor

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

Graphics Features

12 Ultimate (12_2)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.1
7.5
CUDA
3.0
6.6
Shader Model
5.1

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