If you saw Razer's announcements at CES, you might have seen Razer's Project Ava: an AI companion for your desk:
Well, Razer isn’t just building AI companions and game-centric assistants, it’s also putting serious tools into the hands of developers who want to build, train, and fine-tune AI models without being locked into the cloud.
Last year I wrote about the new Razer AI Game Copilot that can help you build games better. Now Razer is taking it one step further.
A developer toolkit, not just another SDK.
At its core, Razer AIKit is an open-source AI development platform designed to streamline the entire AI lifecycle. Instead of wrestling with cloud setup, fragmented tooling, and manual GPU configuration, developers can launch and optimise large language models (LLMs) locally — with performance comparable to cloud instances.
Key strengths include:
Automatic GPU discovery and cluster formation: AIKit detects compatible GPUs on a system and orchestrates them as an efficient cluster, removing a lot of the manual plumbing that typically slows down local AI workflows.
Low-latency, local-first model tuning and inference: With everything running on-premise, latency drops and developers get full control over data and performance.
Open-source on GitHub: The entire platform is available for developers to inspect, extend, and improve. This is a big plus for anyone building specialised AI tools or research workflows.
This isn’t tied exclusively to Razer hardware. Razer AIKit runs on any system with a compatible GPU. Saying that, it plays especially well with Razer’s expanding AI ecosystem, including workstations and accelerators.
What does this mean for us developers?
For game developers, software engineers, and AI researchers alike, Razer AIKit fills a gap between heavyweight cloud services and lightweight local experiments. Instead of juggling disparate tools, AIKit offers a single, scalable platform that supports both training and inference. At the same time, code and models are kept close to home, without cloud fees or data egress time.
It’s a logical next step from Razer’s earlier announcements (like the AI Game Copilot you wrote about), signalling that the company wants to support both creators and the tools they use, not just deploy finished AI experiences.
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