Razer AIKit is an open-source platform that simplifies the entire AI development lifecycle. It automatically configures GPUs, forms clusters, and optimizes settings for local LLM inference and fine-tuning—delivering cloud-grade performance with lower latency and full local control. Designed for AI researchers and developers, AIKit enables fast, secure, and cost-efficient workflows with a single launch command.
Experience the full power of Razer’s GPU-powered devices with Razer AIKit, the open-source AI development toolkit built for engineers and researchers. Designed for easy, out-of-the-box setup, Razer AIKit delivers cloud-grade GPU acceleration and scalability for AI developers to run LLMs locally over a single or cluster of GPUs. Run and fine-tune o…
Razer AIKit is an open-source platform that simplifies the entire AI development lifecycle. It automatically configures GPUs, forms clusters, and optimizes settings for local LLM inference and fine-tuning—delivering cloud-grade performance with lower latency and full local control. Designed for AI researchers and developers, AIKit enables fast, secure, and cost-efficient workflows with a single launch command.
Experience the full power of Razer’s GPU-powered devices with Razer AIKit, the open-source AI development toolkit built for engineers and researchers. Designed for easy, out-of-the-box setup, Razer AIKit delivers cloud-grade GPU acceleration and scalability for AI developers to run LLMs locally over a single or cluster of GPUs. Run and fine-tune over 280,000 LLMs locally with familiar frameworks, achieving full performance and AI privacy without cloud costs.
**Accelerate AI Development Without the Cloud **
- Automatic GPU Discovery and Cluster Formation - Detects compatible GPUs and builds optimized clusters, allowing teams to scale models without manual orchestration.
- Seamless Razer Hardware Integration - Tuned for Razer AI-enabled laptops, external GPUs, and workstations; designed to leverage Razer’s high-performance AI hardware.
- Open-Source and Supported - Available on GitHub with ongoing engineering support from Razer and the developer community.