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Accelerating industry-wide improvements in datacenter infrastructure and safety


Microsoft drives innovation and contributes to the broader AI and datacenter group, benefitting the complete {industry}.

To furnish the cloud infrastructure essential to ship within the period of AI, fast technological transformation has by no means been extra essential than it’s right this moment. To ship for our prospects whereas transferring innovation ahead, we will be taught from technological shifts of the previous and see the crucial position of community-led innovation and {industry} standardization. For the previous decade, Microsoft has pushed this type of deep collaboration by way of cross-industry organizations like Open Compute Mission (OCP). In consequence, we proceed to advance {hardware} innovation at each layer of the computing stack from server and rack structure, networking and storage, and reliability, availability, and serviceability (RAS) designs to new provide chain evaluation frameworks that guarantee safety,1 sustainability,2 and reliability3 throughout the cloud worth chain.

As we proceed to innovate within the period of AI, we’re excited to return to the OCP International Summit this 12 months with extra contributions to help ecosystem innovation from new energy and cooling options that deal with the altering profile of AI datacenters to new {hardware} safety frameworks that put belief and resiliency on the core of our infrastructure for accelerated computing.

Evolving datacenter cooling with modular programs designed for international deployability

As AI calls for develop, we’re reimagining our datacenters with a give attention to growing rack density and enhancing cooling effectivity. Final fall, once we introduced the Azure Maia 100 system, we additionally launched a devoted liquid cooling “sidekick”, a closed-loop design that makes use of recirculated fluid to scale back warmth. We’ve continued down the trail of cooling innovation since then, working with companions to develop new datacenter cooling methods that may remedy for rising AI energy profiles whereas addressing ease of deployability. We’re happy to be contributing the designs for a sophisticated liquid cooling warmth exchanger unit to OCP in order that the entire group can profit from learnings in liquid cooling and hold the tempo of innovation to accommodate quickly evolving AI programs. For extra info, learn the Tech Neighborhood weblog.

Disaggregated energy architectures for next-generation programs

The evolution of AI programs has additionally pushed elevated energy densities in hyperscale datacenters. As these programs develop, we’ve got uncovered new alternatives for flexibility and modularity in system design. Whereas compute and storage programs for cloud sometimes have energy density beneath 20 kW, AI programs has pushed energy densities to a whole bunch of kW. We’re fixing the elevated energy infrastructure calls for within the age of AI with Mt. Diablo, our newest collaboration with Meta. This can be a new disaggregated rack design to deal with crucial house and energy constraints. The answer contains a disaggregated 400 Excessive Voltage Direct Present (VDC) unit that scales from a whole bunch of kW as much as 1MW, enabling 15% to 35% extra AI accelerators in every server rack. This modular method permits for energy changes within the disaggregated energy rack to satisfy the altering calls for of various inferencing and coaching SKUs. We’re excited to proceed our engineering collaboration with Meta on this contribution to the OCP group. Learn the Tech Neighborhood weblog to be taught extra.

Advancing a safe AI future with new confidential computing options

Final month, Microsoft detailed our imaginative and prescient for Reliable AI and Azure Confidential Inferencing, the place safety is rooted in hardware-based Trusted Execution Environments (TEEs) and transparency of the Confidential Belief Boundary. Right this moment, we develop on this imaginative and prescient with new open-source silicon innovation of the Adams Bridge quantum resilient accelerator and its integration into Caliptra 2.0, the subsequent era open-source silicon root of belief (RoT).

The rising capabilities of quantum computer systems current challenges to {hardware} safety, as classical uneven cryptographic algorithms used pervasively all through {hardware} safety might be simply defeated by a strong sufficient quantum pc. In recognizing this danger, the Nationwide Institute of Requirements and Know-how (NIST) has revealed requirements for the brand new quantum resilient algorithms.

These new quantum resilient algorithms are considerably completely different from their classical counterparts. {Hardware} machine producers must pay fast consideration to those modifications as they influence foundational {hardware} safety capabilities equivalent to immutable root-of-trust anchors for each code integrity and {hardware} id. Presently, the challenges going through silicon elements are extra important than for software program, because of longer growth occasions and the immutability of {hardware}. Due to this fact, fast motion is required for brand spanking new {hardware} designs.

As a part of Microsoft’s dedication to our Safe Future Initiative (SFI), and to speed up the adoption of quantum resilient algorithms, Microsoft and the Caliptra consortium are open-sourcing Adams Bridge, a brand new silicon block for accelerating quantum resilient cryptography. For extra details about Adams Bridge, and the way we make our future quantum secure, please go to the Tech Neighborhood weblog.

Along with Caliptra 2.0 and Adams Bridge, Microsoft is taking additional steps to advance safety in {hardware} provide chains with OCP-SAFE (OCP Safety Appraisal Framework Analysis) initiative. Co-founded by Microsoft, OCP-SAFE requires systematic and constant safety audits on {hardware} and firmware. Mixed with Caliptra, OCP-SAFE advances transparency and safety assurance within the path in direction of {hardware} Provide Chain Integrity, Transparency, and Belief (SCITT). Learn the Tech Neighborhood weblog for extra info.

Bottlenecks to breakthroughs: Optimizations at each layer within the period of AI

For the previous few years, Microsoft has been on this journey to develop our supercomputing scale, enabling people and organizations everywhere in the world to reap the advantages of generative AI throughout domains, from training to healthcare to enterprise and past. Alongside the way in which, we’ve continued to evolve and improve our infrastructure, constructing among the world’s largest supercomputers with our rising fleet of high-performance accelerators for AI workloads of all sizes and styles. As we’ve encountered growing calls for for AI innovation, we’ve unlocked efficiency enhancements and efficiencies by way of system-level optimizations, a lot of which have been contributed again to the open-source group.

By the event of our personal customized silicon and system with Azure Maia, we’ve invested in efficiency per watt effectivity by way of algorithmic codesign of {hardware} and software program. We invested in low precision math to attain this by way of an early implementation of the MX knowledge format, a regular we contributed to OCP by way of our management of the Microscaling (MX) Alliance along with AMD, Arm, Intel, Qualcomm, Meta, Microsoft, and NVIDIA.

Subsequent, we tackled the problem of scaling and huge deployment with our liquid-cooled server design. This innovation ensures that our datacenters worldwide can make the most of this know-how, contributing the design to the {industry} to allow broader adoption.

Lastly, we acknowledged that conventional Ethernet was not constructed for AI efficiency and scaling. By making important contributions to the Extremely Ethernet Consortium (UEC), we’ve got prolonged Ethernet into a material able to delivering the mandatory efficiency, scalability, and reliability for AI purposes.

By these efforts, Microsoft continues to drive innovation and contribute to the broader AI and datacenter group, guaranteeing that our developments profit the complete {industry}.

We welcome attendees of this 12 months’s OCP International Summit to go to Microsoft at sales space #B35 to discover our newest cloud {hardware} demonstrations that includes contributions with companions within the OCP group.

Join with Microsoft on the OCP International Summit 2024 and past:


1Delivering consistency and transparency for cloud {hardware} safety, Rani Borkar. October 18, 2022.

2Learn the way Microsoft Azure is accelerating {hardware} improvements for a sustainable future, Zaid Kahn. November 9, 2021.

3Fostering AI infrastructure developments by way of standardization, Rani Borkar and Reynold D’Sa. October 17, 2023.



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