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wccftech
Laptop RTX 5090 Runs Circles Around M5 Max In Prompt Processing & Token Generation With Up To 133% Faster Performance, Until Bigger LLMs Or Context Length Come Into Play
The NVIDIA RTX 5090 has demonstrated superior performance compared to Apple's M5 Max in several AI workloads, specifically in generating tokens and processing prompts. Initial tests have shown the RTX 5090 reaching impressive speeds, particularly when context lengths are managed efficiently. However, challenges arise when faced with heavier models that exceed the GPU's memory capabilities. This suggests a nuanced landscape where raw power alone may not guarantee performance success in AI tasks.
MonitorConfidence: HighShort term horizon
Published 20 Aug 2026, 22:20 UTC3 min read
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Summary
TL;DR
- RTX 5090 GPU shows up to 133% performance improvement over M5 Max in AI processing.
- Performance significantly drops when heavy AI models are introduced.
- VRAM limitations impact the efficiency of RTX 5090 in token generation.
- M5 Max excels with a larger unified memory when accommodating dense models.
- Context length management is crucial for optimizing GPU workload performance.
Interesting facts
- The RTX 5090 has 24GB of VRAM, crucial for handling demanding workloads.
- Different software used on Mac and Windows impacts performance results.
- As context length decreases, the RTX 5090's performance markedly improves.