15. November 2025
Admin
NVIDIA DGX Spark Surprises: 175+ FPS in Cyberpunk 2077 With Path-Tracing & DLSS 4
Although built primarily as a compact AI supercomputer, the NVIDIA DGX Spark has demonstrated impressive gaming capabilities — achieving over **175 FPS** in Cyberpunk 2077 with ray tracing, path-tracing, and DLSS 4 Multi-Frame Generation enabled.
Quick Insight:
This performance shows that AI-focused hardware is not just for data science — with the right software tweaks, it can also deliver high-fidelity gaming experiences.
1. How the Setup Works
• The DGX Spark uses an ARM-based architecture and Linux OS, so running games requires compatibility layers (like Proton) and emulation.
• Users follow a guide to force Steam to run via a compatibility tool, enabling key features: Proton 10.0-2, path tracing, DLSS 4, and Multi-Frame Generation.
• With these configurations, the system unlocks its gaming potential, hitting very high FPS even at ultra-ray tracing settings.
2. Why This Matters
• It’s a proof of concept: a machine built for AI workloads can also run graphically demanding games at very high settings.
• DLSS 4’s Multi-Frame Gen is a game-changer: it helps squeeze out more performance by generating additional frames using AI, allowing for smoother gameplay on non-traditional hardware.
• This opens doors for hybrid users — devs, researchers and hobbyists — to use one compact machine for both AI training and gaming.
3. Implications for Education & Innovation
• For students: exposure to this kind of setup encourages exploration of both AI and game development — skills will overlap more than ever.
• For innovation labs and ed-tech hubs: the DGX Spark could serve as a teaching and experimentation platform — combining AI model training and graphical simulations in one box.
• For Nigeria’s tech ecosystem: hybrid machines like this could lower cost barriers for advanced experimentation, especially in research centers or universities.
Final Thoughts
The DGX Spark isn’t just a data-workhorse — it’s a versatile machine that proves you can combine AI power and high-end gaming in one compact form. For educators, developers and innovators: this might be the kind of future-proof hardware you didn’t expect, but should seriously consider.
Tip: If you're experimenting with DGX Spark or similar machines, try running both AI tasks and games — it’s a great way to test how versatile and efficient your setup can be.
