Home GPU Comparison NVIDIA RTX 5000 Ada Generation vs NVIDIA CMP 40HX

NVIDIA RTX 5000 Ada Generation vs NVIDIA CMP 40HX

We compared two Desktop platform GPUs: 32GB VRAM RTX 5000 Ada Generation and 8GB VRAM CMP 40HX to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA RTX 5000 Ada Generation 's Advantages
Released 2 years and 6 months late
Boost Clock has increased by 55% (2550MHz vs 1650MHz)
More VRAM (32GB vs 8GB)
Larger VRAM bandwidth (576.0GB/s vs 448.0GB/s)
10496 additional rendering cores
NVIDIA CMP 40HX 's Advantages
Lower TDP (185W vs 250W)

Score

Benchmark

FP32 (float)
RTX 5000 Ada Generation +758%
65.28 TFLOPS
CMP 40HX
7.603 TFLOPS
Blender
RTX 5000 Ada Generation +364%
6013
CMP 40HX
1294
VS

Graphics Card

Aug 2023
Release Date
Feb 2021
Quadro Ada
Generation
Mining GPUs
Desktop
Type
Desktop
PCIe 4.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

1155 MHz
Base Clock
1470 MHz
2550 MHz
Boost Clock
1650 MHz
2250 MHz
Memory Clock
1750 MHz

Memory

32GB
Memory Size
8GB
GDDR6
Memory Type
GDDR6
256bit
Memory Bus
256bit
576.0GB/s
Bandwidth
448.0GB/s

Render Config

-
-
-
100
SM Count
36
12800
Shading Units
2304
400
TMUs
144
176
ROPs
64
400
Tensor Cores
288
100
RT Cores
36
128 KB (per SM)
L1 Cache
64 KB (per SM)
72 MB
L2 Cache
4 MB
-
-
-

Theoretical Performance

448.8 GPixel/s
Pixel Rate
105.6 GPixel/s
1020 GTexel/s
Texture Rate
237.6 GTexel/s
65.28 TFLOPS
FP16 (half)
15.21 TFLOPS
65.28 TFLOPS
FP32 (float)
7.603 TFLOPS
1020 GFLOPS
FP64 (double)
237.6 GFLOPS

Board Design

250W
TDP
185W
600 W
Suggested PSU
450 W
4x DisplayPort 1.4a
Outputs
No outputs
1x 16-pin
Power Connectors
1x 8-pin

Graphics Processor

AD102
GPU Name
TU106
AD102
GPU Variant
TU106-100-A1
Ada Lovelace
Architecture
Turing
TSMC
Foundry
TSMC
5 nm
Process Size
12 nm
76.3 billion
Transistors
10.8 billion
609 mm²
Die Size
445 mm²

Graphics Features

12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
8.9
CUDA
7.5
6.7
Shader Model
6.6

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