Key Takeaways
- Advanced Micro Devices and Celestica have unveiled a partnership to create the Helios rack-scale AI platform
- Celestica will lead research, development, design, and production of scale-up networking switches for the system
- The networking switches will interconnect AMD’s upcoming Instinct MI450 Series GPUs for massive AI computing clusters
- The Helios platform utilizes the Open Compute Project Open-Rack-Wide form-factor with Ultra Accelerator Link over Ethernet technology
- Customer availability for AMD Helios is projected for late 2026; AMD stock increased approximately 1% in premarket trading Monday
Advanced Micro Devices has partnered with Celestica (CLS) to introduce a rack-scale artificial intelligence platform targeting enterprise-level deployments. The Helios system aims to address demanding AI training and inference applications across cloud computing, corporate data centers, and research institutions.
Celestica’s responsibilities encompass research and development, engineering design, and production of specialized scale-up networking switches integral to the Helios architecture. The switches utilize the Open Compute Project’s Open-Rack-Wide form-factor — an industry standard increasingly adopted by hyperscale data center operators.
Advanced Micro Devices, Inc., AMD
The proprietary networking silicon powering these switches facilitates rapid interconnection among AMD’s forthcoming Instinct MI450 Series GPUs. The system leverages Ultra Accelerator Link over Ethernet technology for scale-up connectivity, ensuring seamless high-bandwidth communication across GPU clusters.
Rack-scale AI architectures treat the complete rack assembly as a unified compute node rather than separate server components. This approach integrates GPUs, high-bandwidth networking infrastructure, and liquid cooling systems into a cohesive platform optimized for training large-scale language models efficiently.
“Helios represents a new blueprint for AI infrastructure,” said Forrest Norrod, AMD’s executive vice president and general manager of Data Center Solutions. He said it enables customers to deploy AI with the performance, efficiency, and flexibility needed for next-generation workloads.
Steven Dorwart, senior vice president at Celestica, said deploying AI at scale requires infrastructure that can be delivered quickly and consistently. Celestica’s role in Helios leans on its existing strengths in data center design, engineering, and supply chain.
AMD’s Market Performance
AMD maintains a market capitalization approaching $315 billion and has delivered a 92% return over the trailing twelve months amid surging AI infrastructure demand. The Helios platform announcement reinforces AMD’s expanding presence in the data center GPU sector.
UBS maintains a Buy rating on AMD with a $310 price target, emphasizing revenue expansion opportunities extending through 2027. The investment bank identifies potential for AMD to secure a third major hyperscaler client for its data center portfolio, with Microsoft mentioned as a probable candidate.
Wolfe Research similarly maintains an Outperform rating on AMD, highlighting the company’s server product momentum and AI accelerator development roadmap as primary growth catalysts.
Strategic Agreements and Alliances
Apart from Helios, AMD recently finalized a multi-year licensing arrangement with Adeia Inc., securing rights to Adeia’s semiconductor intellectual property portfolio while resolving all outstanding legal disputes between the organizations.
Avalon GloboCare has gained admission to AMD’s AI Developer Program, providing access to AMD’s development tools and technical resources for artificial intelligence applications.
AMD stock appreciated approximately 1% in premarket trading Monday following the Helios platform announcement. Celestica shares climbed roughly 3% during the same trading session.
The AMD Helios platform is slated for customer availability in late 2026.
