Nvidia's Custom GPU Enhances Nintendo Switch 2 With AI Features, Real-Time Ray Tracing, 4K Support

Nintendo NTDOY NTDOF Switch 2 unveiled on April 2, is powered by a custom Nvidia Corp NVDA processor featuring an Nvidia GPU with dedicated RT Cores and Tensor Cores for visuals and AI-driven enhancements.

With 1,000 engineer years of effort across every element, from system and chip design to a custom GPU, APIs, and development tools, the Nintendo Switch 2 brings significant upgrades.

The new console enables up to 4K gaming in TV mode and up to 120 FPS at 1080p in handheld mode.

Also Read: Nintendo Q3 Revenue Drops, Cuts Outlook and Dividend, Switch Sales Slow Ahead of Next-Gen Console

Nintendo Switch 2 also supports HDR and AI upscaling to sharpen visuals and smooth gameplay.

The new RT Cores bring real-time ray tracing, delivering lifelike lighting, reflections, and shadows for more immersive worlds.

Tensor Cores power AI-driven features like Deep Learning Super Sampling (DLSS), boosting resolution for sharper details without sacrificing image quality.

Tensor Cores also enable AI-powered face tracking and background removal in video chat cases, enhancing social gaming and streaming.

Nintendo on Wednesday revealed the Switch 2, launching June 5 at $450, with 4K gaming and enhanced features.

The standard console will be accompanied by a $500 bundle with a digital Mario Kart World copy.

The Switch 2 will have a 7.9-inch 1080p LCD screen with HDR and supports up to 120 frames per second. The system also introduces GameShare, enabling multiple Switch 2 consoles to connect and play shared games locally or online.

Nintendo also announced several high-game releases, including The Duskbloods, a FromSoftware title slated for 2026, and Donkey Kong Bonanza, launching July 17.

The original Switch, launched in 2017 at $299, became one of the best-selling consoles, with over 139 million units sold globally.

Coming to Nvidia, BofA’s Vivek Arya maintained a Buy on it, calling it his top pick ahead of fourth-quarter earnings. He cited the rising tide of AI compute/networking demand and no evidence of GPUs losing their 80%+ share.

Read Next: