V-Seek demonstrates significant performance improvements for LLM inference on server-class RISC-V platforms, offering a flexible, lower-cost alternative to traditional GPU-based systems.

Key innovations:

• Achieves optimized LLM reasoning workloads on open-hardware RISC-V platforms
• Proposes specialized hardware-software co-design for AI inference acceleration
• Provides a framework for cost-effective LLM deployment without reliance on proprietary GPU architectures
• Addresses the maturity challenges in RISC-V hardware for AI workloads

Engineering Impact: This research opens new possibilities for deploying sophisticated AI models on open-source hardware architectures, potentially disrupting the GPU-dominated LLM landscape while offering greater flexibility and reduced costs for enterprise deployments.

V-Seek: Accelerating LLM Reasoning on Open-hardware Server-class RISC-V Platforms