SUSE and Fujitsu Partner on Hybrid Quantum AI Stack
The collaboration integrates NVIDIA CUDA-Q into enterprise infrastructure to streamline quantum circuit management.
Updated on Oct. 21, 2026 in Quantum Computing
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SUSE and Fujitsu have announced a partnership to integrate the SUSE AI Factory with NVIDIA CUDA-Q on Fujitsu server hardware. This stack enables enterprises to manage quantum circuits as workload extensions without requiring specialized quantum physics expertise.
Why it matters
The integration aims to transition hybrid quantum intelligence from academic research environments into practical, enterprise-grade data centers. By leveraging existing AI framework tools, the solution intends to lower technical barriers for IT teams adopting quantum workflows.
The architecture incorporates retrieval-augmented generation and agentic coding modules into the SUSE AI Factory framework. It utilizes a compute broker to facilitate automated circuit submission through NVIDIA CUDA-Q.
The players
SUSE
This is a global company that specializes in enterprise-grade open-source software solutions, including Linux and artificial intelligence platforms.
Fujitsu
This is a Japanese information and communications technology equipment and services provider that focuses on digital transformation.
NVIDIA
This is a leading technology corporation that develops graphics processing units and comprehensive artificial intelligence computing platforms.
The details
The platform supports deployments on both Fujitsu and Supermicro hardware, ensuring data residency by keeping proprietary information on-premises. This infrastructure allows organizations to deploy advanced quantum computing capabilities alongside traditional enterprise workloads.
Timeline
October 21, 2026: The partnership was officially announced in Berlin.
Late 2026: Commercial availability of the hybrid quantum solution is expected.
The Tech Race
This development marks a significant move to shift quantum technology from experimental labs into standard enterprise infrastructure. It directly challenges rivals by automating complex circuit management that previously required deep physics expertise to operate.
Enterprise IT teams will gain the ability to run quantum workloads without needing specialized physicists to manage circuit submissions. This integration allows companies to maintain data privacy by keeping proprietary datasets on their own private infrastructure.
The takeaway
The move demonstrates a growing industry focus on making hybrid quantum-AI systems accessible for standard business operations. Organizations interested in future-proofing their infrastructure should monitor how these tools integrate with existing server environments.
What happens next
The hybrid quantum solution is scheduled to reach commercial availability in late 2026.
Further reading
Learn more about the latest innovations in Quantum Computing.
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