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GPU Comparison
Moore Threads MTT S4000 vs NVIDIA RTX 5000 Ada Generation
Moore Threads MTT S4000 vs NVIDIA RTX 5000 Ada Generation
VS
Moore Threads MTT S4000
NVIDIA RTX 5000 Ada Generation
We compared two Desktop platform GPUs: 48GB VRAM Moore Threads MTT S4000 and 32GB VRAM RTX 5000 Ada Generation to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
Moore Threads MTT S4000 's Advantages
More VRAM (48GB vs 32GB)
Larger VRAM bandwidth (768.0GB/s vs 576.0GB/s)
NVIDIA RTX 5000 Ada Generation 's Advantages
Boost Clock2550MHz
4608 additional rendering cores
Lower TDP (250W vs 450W)
Score
Benchmark
FP32 (float)
Moore Threads MTT S4000
24.58 TFLOPS
RTX 5000 Ada Generation
+165%
65.28 TFLOPS
Moore Threads MTT S4000
VS
NVIDIA RTX 5000 Ada Generation
Graphics Card
Unknown
Release Date
Aug 2023
MUSA-Chunxiao
Generation
Quadro Ada
Desktop
Type
Desktop
PCIe 5.0 x16
Bus Interface
PCIe 4.0 x16
Clock Speeds
1500 MHz
Base Clock
1155 MHz
-
Boost Clock
2550 MHz
2000 MHz
Memory Clock
2250 MHz
Memory
48GB
Memory Size
32GB
GDDR6
Memory Type
GDDR6
384bit
Memory Bus
256bit
768.0GB/s
Bandwidth
576.0GB/s
Render Config
64
Compute Units
-
-
SM Count
100
8192
Shading Units
12800
512
TMUs
400
512
ROPs
176
128
Tensor Cores
400
-
RT Cores
100
-
L1 Cache
128 KB (per SM)
4 MB
L2 Cache
72 MB
-
-
-
Theoretical Performance
768.0 GPixel/s
Pixel Rate
448.8 GPixel/s
768.0 GTexel/s
Texture Rate
1020 GTexel/s
49.15 TFLOPS
FP16 (half)
65.28 TFLOPS
24.58 TFLOPS
FP32 (float)
65.28 TFLOPS
384.0 GFLOPS
FP64 (double)
1020 GFLOPS
Board Design
450W
TDP
250W
850 W
Suggested PSU
600 W
4x DisplayPort 1.4a
Outputs
4x DisplayPort 1.4a
2x 8-pin
Power Connectors
1x 16-pin
Graphics Processor
MTT Gen 2
GPU Name
AD102
-
GPU Variant
AD102
MUSA-Chunxiao
Architecture
Ada Lovelace
TSMC
Foundry
TSMC
12 nm
Process Size
5 nm
22 billion
Transistors
76.3 billion
Unknown
Die Size
609 mm²
Graphics Features
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.4
Vulkan
1.3
-
CUDA
8.9
6.5
Shader Model
6.7
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