Home GPU Comparison NVIDIA RTX A5500 Max-Q vs NVIDIA Tesla K8

NVIDIA RTX A5500 Max-Q vs NVIDIA Tesla K8

We compared two Professional market GPUs: 16GB VRAM RTX A5500 Max Q and 8GB VRAM Tesla K8 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA RTX A5500 Max-Q 's Advantages
Released 7 years and 6 months late
Boost Clock has increased by 55% (1260MHz vs 811MHz)
More VRAM (16GB vs 8GB)
Larger VRAM bandwidth (448.0GB/s vs 160.0GB/s)
5888 additional rendering cores
Lower TDP (80W vs 100W)

Score

Benchmark

FP32 (float)
RTX A5500 Max Q +651%
18.71 TFLOPS
Tesla K8
2.491 TFLOPS
VS

Graphics Card

Mar 2022
Release Date
Sep 2014
Quadro Ampere-M
Generation
Tesla
Professional
Type
Professional
PCIe 4.0 x16
Bus Interface
PCIe 2.0 x16

Clock Speeds

585 MHz
Base Clock
693 MHz
1260 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

58
SM Count
-
-
Compute Units
-
7424
Shading Units
1536
232
TMUs
128
96
ROPs
32
232
Tensor Cores
-
58
RT Cores
-
128 KB (per SM)
L1 Cache
16 KB (per SMX)
4 MB
L2 Cache
512 KB

Theoretical Performance

121.0 GPixel/s
Pixel Rate
25.95 GPixel/s
292.3 GTexel/s
Texture Rate
103.8 GTexel/s
18.71 TFLOPS
FP16 (half)
-
18.71 TFLOPS
FP32 (float)
2.491 TFLOPS
292.3 GFLOPS
FP64 (double)
103.8 GFLOPS

Graphics Processor

GA103
GPU Name
GK104
-
GPU Variant
-
Ampere
Architecture
Kepler
Samsung
Foundry
TSMC
8 nm
Process Size
28 nm
22 billion
Transistors
3.54 billion
496 mm²
Die Size
294 mm²

Board Design

80W
TDP
100W
-
Suggested PSU
300 W
Portable Device Dependent
Outputs
No outputs
None
Power Connectors
1x 6-pin

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
8.6
CUDA
3.0
6.7
Shader Model
5.1

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