Accelerating AI with Open Software: AMD ROCm™ 7 is Here

The enterprise AI landscape is evolving fast. Open software platforms that are scalable and high performance are needed urgently for companies to take advantage of all AI has to offer. At Advancing AI 2025, AMD unveiled AMD ROCm™ 7, the latest evolution of our open-source software platform built to unleash the full potential of AMD Instinct™ GPUs.

Engineered for performance, compatibility, and flexibility, AMD ROCm 7 delivers major enhancements in inference and training, supports many of the latest AI models out of the box, and extends the AMD open ecosystem from cloud to edge. 

Five Game-Changing Features of AMD ROCm 7

1. A Generational Leap in AI Performance
   • ROCm 7 delivers breakthrough performance gains over its predecessor.
   • Training workloads see up to 3x average improvement over ROCm 6 benchmarks.¹
   • Inference performance increases by an impressive 4.6x on average versus ROCm 6.²

   These gains are powered by improvements in GPU utilization, support for lower precision data types, and optimized data movement. For enterprises, that translates directly into faster time-to-insight and higher infrastructure ROI.

2. Support for the latest Algorithms and Models

With AMD ROCm 7, developers can deploy the latest open-source algorithms and models, including LLaMA 4, Gemma 3, and DeepSeek, from day one. Our accelerated update cadence, with biweekly major releases and day-zero support for emerging models, helps ensure enterprises stay ahead in a fast-moving AI landscape.

3. Enhanced Distributed Inference

AMD ROCm 7 introduces a robust approach to distributed inference, leveraging the open-source ecosystem, including frameworks like SGLang, vLLM, and llm-d. By embracing an open strategy, ROCm 7 enables the incredibly high throughput at rack scale —across batch, across nodes, across models.

4. From Cloud to Client: Expanded Platform Support

AMD ROCm is now available on endpoint devices, supporting AMD Ryzen™ AI and select AMD Radeon™ Graphics systems. In the second half of 2025, AMD plans to enable developers to develop with ROCm locally on their own Linux or Windows device, with their own data, instead of relying on the cloud.

This edge-to-cloud continuum gives enterprises new flexibility in how they prototype, deploy, and secure AI workloads.

5. The All-new AMD Developer Cloud

AMD has launched the AMD Developer Cloud, a fully managed, zero-setup environment providing instant access to AMD Instinct™ MI300X GPUs. With a GitHub account or email, developers can launch Jupyter notebooks in seconds and start building. Developers can apply for 25 complimentary cloud hours today, with up to 50 more hours available through the ROCm Star Developer Certificate program.

Open. Scalable. Enterprise-Ready.

AMD continues to champion open software and open platforms With AMD ROCm 7 and the AMD Developer Cloud, organizations gain an open-source AI stack that is frictionless, ready to use, and built for scale.

AMD ROCm 7 is accelerating AI innovation across layers—from algorithms to infrastructure—bringing real competition and openness back to the AI software stack

To learn more about ROCm 7, visit the ROCm page, or watch the Advancing AI 2025 keynote.