Enterprise-Grade AI on Secure, Compliant Cloud Infrastructure
IBM and AMD have partnered to bring AMD Instinct™ MI300X GPUs to IBM Cloud, giving enterprises and developers access to powerful GPU-based compute for generative AI, large model training, inference, analytics, and HPC workloads. This offering combines IBM’s secure, scalable cloud infrastructure with AMD’s performance-optimized accelerators, enabling customers to run AI workloads seamlessly across public, private, and edge environments with predictable performance and enterprise-grade security.
IBM Cloud delivers clusters of AMD Instinct MI300X GPUs designed to support large multimodal foundation models at production scale, with proven reliability and security. The collaboration already powers one of the largest advanced generative AI training clusters for Zyphra on IBM Cloud, demonstrating real-world performance on an AMD stack, while tight integration with Red Hat OpenShift AI and related platforms provides flexible consumption models and simplifies deployment for both enterprise and developer use cases.
Why IBM Cloud + AMD Instinct GPUs
- Proven at Scale: IBM Cloud and AMD stood up MI300X training clusters for advanced multimodal model work—illustrating readiness for frontier R&D and enterprise AI.
- Open Ecosystem: AMD ROCm™ open software delivers full stack enablement, performance upgrades, and day 0 support for major frameworks and model stacks to accelerate time to production.
- Operational Confidence: IBM Cloud is known for security, reliability, and scalability, complementing Instinct GPUs for AI and HPC workloads.
What You Can Build
- Frontier LLM Training and Fine Tuning: Leverage MI300X memory capacity and ROCm open software for optimized kernels/containers for high throughput training.
- Distributed Inference Services: Use ROCm integrations (e.g., vLLM, SGLang) to orchestrate low latency inference across clusters.
- Multimodal Pipelines: Apply the ROCm software expanded datatype support and toolchain for language, vision, and audio workloads.
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