Among the many things GIGABYTE announced at CES 2026, their newly revealed OLED gaming monitors and AI solutions are some of the big takeaways to know.
For the monitors, we see the ultra-wide QD-OLED MO34WQC36 and the 4K QD-OLED MO32U24 both getting the new ObsidianShield film and DisplayHDR True Black 500, where the film is claimed to improve perceived black levels by up to 40% while also boosting durability with higher surface hardness. The MO34WQC36 also benefits from a new V-stripe sub-pixel structure for dramatically better text clarity, while the MO27Q28GR uses RealBlack Glossy 4th-gen WOLED with UL certification for strong black performance in bright rooms, and the MO27Q2A now comes in a new white finish branded as MO27Q2A ICE.
Through software, they have further refined HDR Picture Modes to produce better results through HDR Movie, HDR Game, and HDR Vivid modes via a new feature called HyperNits that reshapes the EOTF curve to boost brightness by up to 30% without blowing out highlights, with users able to choose between a stronger High mode or a softer Medium mode depending on their environment.
For everyday SDR use, GIGABYTE is leaning on AI with an AI Picture Mode that automatically adapts based on what you’re doing, reducing brightness and blue light for work, boosting contrast and adjusting gamma for movies, or enabling AI Black Equalizer for FPS games, all happening in real time so the screen feels like it’s constantly fine-tuning itself in the background. That sits alongside the brand’s familiar Tactical Features, including Tactical Switch 2.0 for quick resolution and aspect ratio changes like 4:3 or 5:4, and Ultra Clear to improve motion clarity and reduce blur in fast-moving content.
At the same time, the AI TOP product line highlights how AI workloads are increasingly moving from the cloud to local devices, with the goal of making AI more accessible and practical for everyday users. And one of those things is the flagship AI TOP 500 that supports models up to 405B parameters for medium-sized businesses, while the more compact AI TOP 100 targets smaller businesses, startups, and individuals with support for LLM fine-tuning up to 110B+ parameters, and both can be clustered over Ethernet and Thunderbolt to scale performance further.
Last year also saw the release of the AI TOP ATOM, which is the NVIDIA DGX Spark-based system that powers the GB10 Grace Blackwell Superchip, delivering up to 1 petaFLOP of FP4 AI performance, with support for models up to 200B parameters on a single unit and scaling to 405B parameters when two systems are clustered together. Paired with NVIDIA’s AI software stack, GIGABYTE is positioning this as a powerful yet portable option for creators, researchers, and developers who want serious AI compute without relying on the cloud.
