Enabling the Future of AI: Introducing AMD ROCm 7 and AMD Developer Cloud

At a Glance:

• AMD ROCm™ 7 elevates AI with major performance boosts, distributed inference, enterprise solutions, and broader support across Radeon and Windows, all in collaboration with the open-source community.
• The AMD Developer Cloud offers instant, hardware-free access to AMD Instinct™ MI300 GPUs with pre-configured environments and complimentary credits, enabling seamless AI development and deployment.
• The expanding AMD AI ecosystem showcases real-world ROCm adoption for scalable, open AI innovation.

Developers first. That’s the mantra shaping everything we’re doing with ROCm™ 7 and the AMD Developer Cloud. Because at AMD, we’re not just building AI tools—we’re building them for you.

Whether you’re a grad student chasing your first LLM idea, a researcher tweaking next-gen attention mechanisms, or a team pushing production workloads at hyperscale, we want to make your life easier, faster, and just plain better. It’s ROCm everywhere and for everyone.

Over the past year, we have shifted our focus to enhancing our inference and training capabilities across key models and frameworks and expanding our customer base. Our commitment to supporting developers has resulted in improved out-of-the-box capabilities, streamlined setup processes, and increased community engagement. Consequently, our customers are deploying AI capabilities at an unprecedented pace, prompting us to accelerate our release cadence with new features. Leading models like llama 4, gemma 3, and Deepseek are now supported from day one, and our collaboration with the open-source community has never been stronger, underscoring our dedication to fostering an accessible and innovative AI ecosystem.

At Advancing AI 2025, we shared a vision. Not just about performance charts or speeds and feeds—but about accessibility and scalability. About putting MI300X-class GPUs in the hands of anyone with a GitHub ID. About installing ROCm with a simple pip install. About going from zero to Triton kernel notebook in minutes.

With ROCm 7 and the AMD Developer Cloud, that vision is real. It’s open, frictionless, and ready for you to build the future of AI—on your terms.

Let’s dive in.

ROCm 7: Accelerating Developer Enablement and AI Performance at Scale

With ROCm 7.0, AMD is accelerating AI innovation at every layer—from algorithms to infrastructure—bringing real competition and openness back to the software stack. ROCm 7.0 is built to meet the expanding needs of generative AI and HPC workloads while transforming the developer experience through accessibility, efficiency, and a vibrant community collaboration.

We are thrilled to announce that ROCm 7, with its exciting new capabilities and enhancements, will become generally accessible in Q3 2025. Here's a sneak peek into the remarkable features that are coming your way:

1. Performance Uplift:  ROCm 7 delivers a powerful leap in performance, boasting over 3.5X the inference capability and 3X the training prowess compared to the previous ROCm 6 release. This achievement stems from advances in usability, performance, and support for lower precision data types like FP4 and FP6. Further enhancements in communication stacks have optimized GPU utilization and data movement.
2. Distributed Inference:  ROCm 7 introduces a robust approach to distributed inference, leveraging collaboration with the open-source ecosystem, including frameworks like SGLang, vLLM, and llm-d. By embracing an open strategy, ROCm 7 is built alongside these partners, co-developing shared interfaces and primitives to enable efficient distributed inference on AMD platforms.
3. Enterprise AI Solutions:  ROCm Enterprise AI debuts as a robust MLOps platform designed for seamless AI operations in enterprise settings. It includes tools for model fine-tuning with industry-specific data and integration with both structured and unstructured workflows, facilitated by partnerships within our ecosystem for developing reference applications like chatbots and document summarizations.
4. ROCm on Radeon and Windows:  Expanding the ROCm experience beyond the cloud, ROCm 7 supports development on Ryzen laptops and workstations, enabling consistent innovation from cloud to client. With expected availability from 2H 2025, ROCm will feature in major distributions, positioning Windows as a first-class, fully supported OS, ensuring portability and efficiency on home and enterprise setups.

Partnering to Power the Open AI Ecosystem

Featured ROCm Ecosystem Partners:

• Meta – Running ranking, recommendation, and content generation workloads on AMD Instinct GPUs, including Llama models supported by ROCm improvements.
• Microsoft - Instinct MI300X is now powering both proprietary and open-source models in production on Azure.
• Red Hat® OpenShift® AI –  Enabling scalable LLM inference and AI operations with ROCm on Red Hat OpenShift AI for hybrid cloud environments. 
• Cohere – Deploying the 104B-parameter Command R+ model on AMD Instinct GPUs using vLLM and ROCm for enterprise-grade inference.

This deep partner collaboration ensures developers have access to best-in-class tooling, continuous performance improvements, and an open environment to iterate and deploy rapidly.

AMD Developer Cloud: Frictionless Access to World-Class Compute

Complementing ROCm 7 is the AMD Developer Cloud, now broadly available to the global developer and open-source communities.  This fully managed environment provides instant access to AMD Instinct MI300X GPUs—with zero hardware investment or local setup required.

Highlights of the AMD Developer Cloud:

• Zero-Setup Environment: Launch cloud-based Jupyter Notebooks instantly—no installation needed. Easy setup with just Github or an email address.
• Pre-Installed Docker Containers and Flexibility: Docker containers preloaded with popular AI software, minimizing setup time, while giving developers the flexibility to customize code to fit their specific needs.
• Seeding MI350 systems on Day-0 with the ecosystem including vVLLM, SGLang, HAO AI lab, Stanford AI Lab.
• Day-0 support includes Instinct MI350 Cis for PyTorch and Triton CL.
• Scalable Compute Options:
  • Small: 1x MI300X GPU (192 GB GPU memory)
  • Large: 8x MI300X GPUs (1536 GB GPU memory)
• Complimentary Developer Credits: Apply for 25 complimentary cloud to start—with up to 50 additional hours available through programs like the ROCm Star Developer Certificate.

Whether you're fine-tuning LLMs, benchmarking inference performance, or building a scalable inference stack, the AMD Developer Cloud gives you the tools and flexibility to get started instantly—and grow without limits.

Powered by an Expanding AI Ecosystem

What sets the AMD Developer Cloud apart is not just its infrastructure—but the vibrant ecosystem that supports and scales with it.

Developer Cloud Ecosystem Highlights:

• OpenAI, Midjourney, and Hugging Face: These leading AI innovators are working with AMD to accelerate inference and training workflows, showing real-world readiness and performance at scale.
• Red Hat® OpenShift® AI + AMD: Delivering Kubernetes-native AI lifecycle management and secure hybrid cloud support via ROCm on OpenShift AI.
• Berkeley Sky Computing Lab & vLLM: Collaborating with AMD to advance distributed inference using AMD Instinct GPUs and the ROCm stack.
• Cohere and Modular Inc: Deploying enterprise LLMs and building optimized AI infrastructure on ROCm-powered AMD hardware.

These collaborations demonstrate that the AMD Developer Cloud is more than a compute platform—it’s a launchpad for next-generation AI innovation. From enterprise adoption to open-source experimentation, the growing network of AMD partners is actively shaping the tools and services available to every cloud user.