CES 2026: Razer announces an AI ecosystem and next-generation technologies to redefine the gaming experience
The company reveals visionary concepts and various innovations based on artificial intelligence, such as wearables, platforms for developers, high-performance controls, and multisensory experiences.
Razer, the global leading brand in lifestyle for gamers, has just held its most ambitious presentation to date at the CES 2026, with visionary concepts, new products and artificial intelligence-based technologies that lay the foundation for a full ecosystem of AI oriented to gaming.
Among the highlights of this year are Project AVA, now introduced as an animated AI desktop assistantu2014an evolution of Razer's award-winning AI eSports coachu2014and Project Motoko, a next-generation AI wearable headset equipped with Snapdragon.
Razer also introduces a comprehensive portfolio of AI tools for developers, which includes the Razer Forge AI Developer Workstation, a scalable solution for high-complexity AI projects, and the Razer AIKit, an open-source platform for local and low-latency AI workflows. In parallel, the company announces a partnership with Tenstorrent for the launch of a compact AI accelerator, which offers modular, portable, and desktop-level computing power for developers anywhere.
For couch gamers, Razer launches the Razer Wolverine V3 Bluetooth®. Developed in partnership with LG, the new wireless controller is the fastest gaming model in the world and is designed to provide a smooth cloud gaming experience on large screens.
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Completing the portfolio is the Project Madison, a concept of a multisensory immersive chair, and the Razer Iskur V2 NewGen, Razer's well-known gaming chair that now includes a new generation focused on more comfortable and less heated gaming sessions.
"Artificial intelligence is transforming the way we play, connect, and experience technology," says Min-Liang Tan, co-founder and CEO of Razer. "Expansion into wearables, corporate partnerships, and open-source innovation reflect Razer's vision of building an AI ecosystem for gaming with applications that go beyond entertainment. (The) CES 2026 represents a milestone in this journey, and the company invites the global technology community to participate in the construction of what comes next."
THE INNOVATIONS FROM RAZER AT CES 2026
- Project AVA: The Evolution of Companions with AI First presented at last year's CES, Project AVA evolved from an AI esports coach to a fully integrated and animated desktop companion. With a 5.5-inch animated avatar, adaptive AI personality, and PC Vision mode, Project AVA goes beyond support for video games and positions itself as a true digital partner for work, leisure, and everyday life. It is now available for pre-order in the United States.
- Project Motoko: Razer's vision for wearable AI
Based on Snapdragon® platforms, Project Motoko is a concept of an AI native wireless headset, with augmented visual perception through two first-person perspective cameras, intelligent audio feedback and dual microphones (near and far field) for advanced sound detection. Compatible with the main AI platforms, it increases productivity, performance in video games and everyday use, in addition to providing visual data from the human perspective for robot training and AI model development.
- Razer AI Ecosystem for Developers
An end-to-end solution for AI developers, which combines high-performance computing for demanding workflows with an open-source platform for tuning and local inference of large language models (LLMs).
- Razer Forge AI Dev Workstation: High-performance workstation designed to handle intensive training, inference, and simulation loads in AI. It offers end-to-end local performance, with secure computing on the device itself, no subscription costs, and maximum response capacity. Compatible with up to four professional GPUs, workstation-class CPUs, and massive memory bandwidth, it accelerates large-scale model training and can be used in both tower and rack formats in corporate environments.
- Razer AIKit: simplifies the AI development cycle by allowing researchers and developers to run and fine-tune large language models locally, with performance comparable to the cloud. With automatic GPU discovery, cluster creation, and integration with AI hardware from Razer, AIKit enables low-latency local workflows. Fully open-source on GitHub, it allows for customization, community contributions, and the continual evolution of the platform.
- Project Madison: total integration and absolute immersion
The concept of a next-generation gaming chair, Project Madison is equipped with Razer Sensa HD Haptics, THX Spatial Audio, and Razer Chroma RGB, offering a multisensory experience that allows you to feel, hear, and visualize every detail of the action on another level.
- Razer Iskur V2 NewGen: advanced ergonomics for increased comfort
The evolution of gaming chairs, developed to provide maximum comfort and performance. It incorporates the lumbar support system Razer HyperFlexu2122, second generation Razer EPU leather-like material with CoolTouchu2122 technology, and a double density perforated foam cushion, which ensures cooler sessions, a proper posture, and more gaming time. Available for pre-order worldwide.
- RAZER Wolverine V3 Bluetooth®: practicality combined with performance. The world's fastest wireless video game controller -developed in collaboration with LG through the "Designed for LG Gaming Portal" program- is focused on providing a smooth cloud gaming experience on large screens. Equipped with ultra-low latency Bluetooth®, integrated TV controls, and professional-level features, it delivers comfort on the couch without compromising competitive performance.
- Razer signs a partnership with Tenstorrent for the development of always-on-the-move AI
The first compact AI accelerator by Tenstorrent, developed in collaboration with Razer, offers powerful generative AI capabilities for Thunderboltu2122 5 compatible systems. Based on Tenstorrent's Wormholeu2122 technology, it provides desktop-level portable performance for LLMs, image generation, and advanced AI and machine learning workloads. Its modular design allows for chaining up to four units for scalable experimentation, with full support for Tenstorrent's open-source software ecosystem.
