Posts tagged Partner Applications
A Practical Guide to Running LLMs on AMD Radeon™ GPUs
- 19 June 2026
Running large language models on AMD Radeon™ GPUs has never been more accessible or more exciting. Thanks to rapid advancements in open‑source tooling and GPU acceleration, both Radeon™ integrated GPUs (iGPU) and discrete GPUs (dGPU) have become powerful, cost‑effective platforms for local AI. Whether you prefer a polished desktop application, a lightweight command‑line workflow, or a fully customizable runtime, a rich ecosystem of tools now makes it easy to deploy cutting‑edge models on your system. With today’s software stack, you can run state‑of‑the‑art language models directly on your Radeon™‑powered PC, whether you’re using integrated graphics or a high‑performance discrete card.
Stone Ridge Expands Reservoir Simulation Options with AMD Instinct™ Accelerators
- 10 June 2024
Stone Ridge Technology (SRT) pioneered the use of GPUs for high performance reservoir simulation (HPC) nearly a decade ago with ECHELON, its flagship software product. ECHELON, the first of its kind, engineered from the outset to harness the full potential of massively parallel GPUs, stands apart in the industry for its power, efficiency, and accuracy. Now, ECHELON has added support for AMDInstinct accelerators into its simulation engine, offering new flexibility and optionality to its clients.
Siemens taps AMD Instinct™ GPUs to expand high-performance hardware options for Simcenter STAR-CCM+
- 16 May 2024
Siemens recently announced that its Simcenter STAR-CCM+ multi-physics computational fluid dynamics (CFD) software now supports AMD Instinct™ GPUs for GPU-native computation. This move addresses its users’ needs for computational efficiency, reduced simulation costs and energy usage, and greater hardware choice.
AMD Collaboration with the University of Michigan offers High Performance Open-Source Solutions to the Bioinformatics Community
- 16 May 2024
Long read DNA sequencing technology is revolutionizing genetic diagnostics and precision medicine by helping us discover structural variants and assemble whole genomes. It also helps us study evolutionary relationships. Lower sequencing costs and high-throughput portable long read sequencers are revolutionizing precision medicine today. Long read sequencers from the top manufacturers including Oxford Nanopore (ONT) and PacBio, can produce reads that are much longer than previous generations of sequencers. However, long reads vary in length and are significantly more error prone than short reads. Sequence alignment (on CPUs) is one of the main bottlenecks in long read processing workflows.