RITS

Tag: amd

  • AMD Acquires Taalas, the Startup Etching LLMs Into Silicon

    AMD Acquires Taalas, the Startup Etching LLMs Into Silicon

    On August 6, 2026, AMD announced a definitive agreement to acquire Taalas — the Toronto startup whose chips abandon the idea of loading a model from memory altogether, and instead etch its weights permanently into the transistors themselves. Financial terms were not disclosed. The deal is subject to regulatory approval and is expected to close […]

  • ZML: A Zig-Based Inference Engine Bringing LLMs to AMD GPUs

    ZML: A Zig-Based Inference Engine Bringing LLMs to AMD GPUs

    ZML, a Paris-based open-source project, is gaining traction as a production inference stack written almost entirely in Zig — bypassing the Python and PyTorch dependency chains that dominate AI infrastructure. With its v2 release on March 24, 2026, ZML now compiles large language models directly onto NVIDIA, AMD, Google TPU, and AWS Trainium hardware from […]

  • The C Rewrite of Lemonade is Released and Ready

    The highly anticipated C language rewrite of Lemonade has been officially released and is now available for use. This update marks a significant milestone for developers and users alike, offering enhanced performance, improved memory management, and better compatibility with modern systems. The project, originally developed in another language, has been fully reimplemented in C to […]

  • FastFlowLM — Running LLMs on AMD Ryzen AI NPUs With Ease

    Modern large language models (LLMs) are computationally intensive. While GPUs have long been the go-to hardware for accelerating them, a recent shift is enabling model inference on new kinds of AI accelerators — including NPUs (Neural Processing Units). FastFlowLM (FLM) is an ambitious open project that aims to unlock LLM and vision model inference directly […]