- Arm-based Neoverse processors can now communicate directly and efficiently with Nvidia GPUs
- NVLink Fusion Eliminates PCIe Bottlenecks for AI-Driven Server Deployments
- Hyperscalers like Microsoft and Google can use custom Arm processors immediately
Nvidia has announced that Arm-based Neoverse processors will now be able to integrate with its NVLink Fusion technology.
This integration allows Arm licensees to design processors that can communicate directly with Nvidia GPUs.
Previously, NVLink connections were primarily limited to Nvidia’s own processors or servers using Intel and AMD processors, so hyperscalers such as Microsoft, Amazon, and Google can now pair custom Arm processors with Nvidia GPUs in their AI workstations and servers.
Expanding NVLink beyond proprietary processors
The development also allows Arm-based chips to move data more efficiently than standard PCIe connections.
Arm has confirmed that its custom Neoverse designs will include a protocol enabling seamless data transfer with Nvidia GPUs.
Arm licensees can create CPU SoCs that natively connect to Nvidia accelerators by directly integrating NVLink IP.
Customers adopting these processors will be able to deploy systems where multiple GPUs are paired with a single CPU for AI workloads.
The announcement was made at the Supercomputing ’25 conference and reflects participation from CPU and GPU developers.
Nvidia’s Grace Blackwell platform currently pairs multiple GPUs with an Arm-based CPU, while other server configurations rely on Intel or AMD processors.
Microsoft, Amazon and Google are deploying Arm-based processors to better control their infrastructure and reduce operational costs.
Arm itself does not make processors, but licenses its instruction set architecture and sells designs enabling faster development of Arm-based processors.
Support for NVLink Fusion in Arm chips allows these processors to work with Nvidia GPUs without requiring Nvidia CPUs.
The ecosystem also affects sovereign AI projects, in which governments or cloud providers may want Arm processors for control plane tasks.
NVLink allows these systems to use Nvidia GPUs while maintaining custom CPU configurations.
Softbank, which previously owned shares in Nvidia, is backing OpenAI’s Stargate project, which plans to use both Arm and Nvidia chips.
The integration of NVLink Fusion therefore provides options to combine Arm processors with market-leading GPU accelerators in multiple environments.
From a technical perspective, the NVLink expansion increases the number of processors that can be used in Nvidia-centric AI systems.
This also allows future Arm-based designs to directly compete with Nvidia’s Grace and Vera processors, as well as Intel’s Xeon processors, in configurations where GPUs are the primary computing units.
This development could reduce the appeal of alternative interconnects or competing AI accelerators, but chip development cycles could affect the adoption timeline.
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