In a significant stride toward transforming AI infrastructure, ClearML has recently announced a collaboration with AMD. By integrating with AMD’s powerful hardware and open-source ROCm software with ClearML’s silicon-agnostic, end-to-end platform, we’re empowering IT teams and AI builders to innovate with ease across diverse infrastructures and integrate GPUs from multiple vendors. Enterprises can now enjoy a future-proof solution to manage AI workloads with unparalleled flexibility, scalability, and efficiency.
Unleashing New Possibilities
The collaboration introduces robust support for AMD’s Instinct™ MI300X GPU accelerators and the ROCm™ software ecosystem, which is purpose-built to tackle the most demanding AI applications, from training large language models (LLMs) to running complex inference workloads. By seamlessly integrating AMD’s cutting-edge accelerators and open software platform, ClearML’s AI platform becomes a powerhouse for innovation, offering AI builders and IT teams unmatched performance and control, all while maintaining the freedom to choose their desired AI Infrastructure architecture.
Key Features and Benefits
Enhanced AI Performance: The integration of AMD’s Instinct MI300X GPUs with ClearML’s platform ensures efficient AI model training and inference, especially for memory-intensive workloads such as LLMs.
Flexibility Across Infrastructures: Enterprises can seamlessly develop, train, and deploy AI models on any infrastructure—whether on-premises, in the cloud, or in hybrid environments—while supporting a variety of GPU options from AMD, NVIDIA, and more.
Operational Simplicity: ClearML’s unified AI Infrastructure Control Plane offers single-click deployment, hybrid and multi-cloud support, and complete infrastructure control, giving enterprises the ability to manage clusters, nodes, and GPUs from a single interface.
Scalability for HPC Workloads: With compatibility for high-performance computing (HPC) clusters and support for Slurm-based scheduling, ClearML enables organizations to leverage existing HPC infrastructure for AI workloads without complexity.
Why This Matters for Enterprises
AI adoption is surging as businesses strive to enhance productivity, drive revenue, and build smarter products. However, IT teams and AI builders face a growing challenge: managing large-scale AI workloads across multiple infrastructures, clouds, and GPU vendors. This complexity can lead to higher operational costs, vendor lock-in, and limited flexibility. ClearML’s partnership with AMD addresses these pain points head-on.
In the news release, Moses Guttmann, Co-founder and CEO of ClearML, stated that “ClearML is committed to enabling enterprises to build, train, and deploy AI models on their terms, free from constraints. Our collaboration with AMD strengthens this vision by offering unparalleled support for and seamless experience with AMD’s leading-edge hardware and ROCm software stack. Together, we’re helping organizations unlock the full potential of AI innovation, experimentation, and production at scale.”
This sentiment is echoed by Negin Oliver, Corporate Vice President of Business Development, Data Center GPU Business Unit at AMD, who stated, “With the ever-increasing pace of AI development, AI builders require platforms that can deliver optimized performance while retaining flexibility as workload demands grow. By using AMD Instinct MI300X with the ROCm software stack within the ClearML platform, AI builders can achieve this along with increased productivity and greater overall efficiency with their deployments.”
Revolutionizing AI Workflows with ClearML and AMD
The integration is driven by ClearML’s AI Infrastructure Control Plane, which brings together infrastructure and workflows within a unified, user-friendly interface. This approach streamlines AI operations through:
Effortless Deployment: AI teams can deploy and scale models on AMD-powered clusters with a single click, boosting productivity while eliminating the complexities of AI infrastructure management.
Hybrid and Multi-Cloud Flexibility: Whether training models on bare-metal servers or cloud environments, ClearML ensures seamless compatibility across varied setups.
Comprehensive Control: With integrated drivers, frameworks, and containers, enterprises gain full visibility, security, and control over their AI technology stack, enhancing performance and reliability.
A Future-Proof, Open-Source Platform
As part of its agnostic, open-source approach, ClearML’s platform is designed to support:
Silicon-Agnostic Deployments: Supporting GPUs from AMD, NVIDIA, Intel, ARM, and other vendors, giving enterprises the flexibility to select the best hardware for their workloads.
Cloud-Agnostic Flexibility: ClearML’s platform integrates with AWS, Azure, GCP, and other cloud providers, enabling multi-cloud and hybrid cloud deployments.
Vendor-Agnostic Compatibility: ClearML supports popular AI frameworks like PyTorch, TensorFlow, and Jupyter Notebooks, allowing seamless integration with existing tools and workflows.
Modular Interoperability: Enterprises can adopt the full platform or integrate ClearML’s tools into their existing AI/ML ecosystems, such as Grafana, Slurm, MLflow, and SageMaker.
The ClearML and AMD Advantage
The combined capabilities of ClearML’s platform and AMD’s hardware deliver powerful benefits for enterprises aiming to scale AI initiatives:
Optimized Performance: Full-stack integration of hardware, software, and AI tools ensures peak performance for training and inference, even for large, complex models.
Operational Flexibility: Support for multi-cloud, hybrid cloud, and on-premises deployments gives IT teams control over their infrastructure.
End-to-End Visibility: A unified view of AI infrastructure, from development to deployment, enables better resource allocation, security, and efficiency.
Cost-Effective Scalability: ClearML’s GPUaaS model allows enterprises to efficiently scale GPU resources on demand, minimizing operational costs while maximizing performance.
The collaboration between ClearML and AMD marks a pivotal moment in enterprise AI adoption. By uniting AMD’s best-in-class hardware with ClearML’s open-source, silicon-agnostic AI platform, enterprises gain unprecedented control, flexibility, and performance. This joint effort ensures that AI builders, developers, and IT teams can harness the full potential of AI—without vendor lock-in, hardware limitations, or operational bottlenecks.
ClearML’s AI Infrastructure Control Plane, bolstered by AMD’s MI300X GPUs and ROCm software, provides a future-proof foundation for enterprises looking to stay ahead in the AI race. This dynamic partnership is a testament to the power of open collaboration and shared innovation, offering enterprises a clear path to AI excellence at scale.