Quantum Computing
…describe how we pushed GPU-based simulation to its limits, running what we believe to be the largest single-GPU universal quantum simulations to date on AMD hardware: full-state simulations of…
Playbooks are published as open guides on GitHub and cover end-to-end workflows, including: Environment setup and prerequisites Dependency and driver installation Running models locally on AMD hardware Building or extending a practical application
Launching AMD AI Playbooks: Step-by-Step Guides for Building with AI Locally with AMDLemonade is AMD’s open, local first runtime and API layer for building and running AI applications directly on PCs. It provides a unified, OpenAI compatible API that lets developers run text, image, and speech models locally without managing hardware specific details or fragmented runtimes. Lemonade is implemented in lightweight C++ and installs quickly across Windows, Linux, macOS, and Docker. At runtime, it automatically selects and configures optimized CPU, GPU, and NPU backends for each machine, allowing multiple models to run concurrently based on available system memory. The platform sup
Join the Lemonade Developer Challenge…describe how we pushed GPU-based simulation to its limits, running what we believe to be the largest single-GPU universal quantum simulations to date on AMD hardware: full-state simulations of…
…hardware configurations, but it was straightforward.” Rubrik has been able to achieve a lot, thanks to the switch to AMD EPYC processors. “In the last three years there's been a push…
…multi-agent classrooms across Instinct, Radeon, Ryzen AI with OpenMAIC May 11, 2026 What is AI Networking? AI networking uses purpose-built, intelligent networking technologies to keep distributed AI workloads synchronized across…
…Existing hardware is being pushed to its limits as five key forces converge: AI demand is outpacing available compute, power, and data center capacity Legacy infrastructure and technical debt are slowing modernization…
…could support the full lifecycle of its AI models, from development and experimentation to deployment and scaling. A Developer‑Centric Cloud Experience Beyond GPU hardware, ACE Studio placed a high value on…
…Radeon, Ryzen AI with OpenMAIC May 11, 2026 AMD AI DevDay San Fransico Recap AMD AI DevDay 2026 in San Francisco featured keynotes, workshops, and demos, highlighting AMD’s push for an…
…May 06, 2026 AMD AI DevDay San Fransico Recap AMD AI DevDay 2026 in San Francisco featured keynotes, workshops, and demos, highlighting AMD’s push for an open, full-stack AI ecosystem…
…May 06, 2026 AMD AI DevDay San Fransico Recap AMD AI DevDay 2026 in San Francisco featured keynotes, workshops, and demos, highlighting AMD’s push for an open, full-stack AI ecosystem…
…Developers and enterprises now get to experience the powerful, optimized compute performance combined with the flexibility to manage AI workloads with any accelerator and across any cloud or hardware environment.” Matthew Zeiler…
…Push simulations, AI workloads, and hardware-accelerated workloads further; with 128 PCIe® 5.0 lanes available, multi-GPU configurations enable a whole new world of hardware accelerated possibilities. Model Socket Cores / Threads…