Quali and Cisco have launched Stack Automation by Quali, a deployment automation platform for Cisco environments offered exclusively through Cisco.
The platform targets enterprises that still rely on manual work to assemble production infrastructure across compute, networking, storage, security and software layers. It is intended to cut deployment times from weeks to hours for both conventional and AI workloads.
Built on Quali's Torque platform, it automates day-0 planning and day-1 deployment across cloud, on-premises and hybrid infrastructure. The system combines Cisco's validated infrastructure designs with NVIDIA software, including NVIDIA AI Enterprise, NVIDIA NIM microservices and NVIDIA Nemotron models.
It also supports Cisco AI PODs within Cisco Secure AI Factory with NVIDIA. The launch comes amid a broader push by large vendors to simplify enterprise AI operations as companies move beyond pilot projects into production systems.
Operational focus
Many businesses have spent the past few years buying GPUs, building AI infrastructure and experimenting with sovereign AI projects. The next hurdle has been turning those investments into repeatable production environments that can be deployed, governed and maintained without lengthy handoffs between infrastructure, security and application teams.
Stack Automation by Quali is built around reusable deployment blueprints and policy-based controls. Those blueprints can automate AI pod deployments, GPU infrastructure management, runtime governance and software integration in production environments.
The approach reflects a wider shift in enterprise technology spending. For many IT teams, the problem is no longer access to hardware alone, but the work required to stitch together infrastructure components, apply controls and prepare systems for live use.
Lior Koriat, Chief Executive Officer of Quali, said the issue has become more acute as AI systems move into production. "Enterprise AI infrastructure has become operationally complex at a scale most organizations were never designed to manage manually," Koriat said.
"Organisations are now facing a fundamentally different challenge: not simply how to build AI infrastructure, but how to operationalize, govern and scale AI systems once they enter production. Stack Automation by Quali was built to give enterprises the operational control layer needed to quickly deploy AI infrastructure consistently, securely and at scale," he said.
Cisco channel
Cisco is positioning the product as a way to reduce the engineering effort required to set up new applications and infrastructure stacks. Making the offering exclusive to its own channel also ties the software more closely to its data centre and AI infrastructure portfolio.
Jeremy Foster, Senior Vice President and General Manager of Cisco Compute, said the goal was to shorten the time needed to bring systems online. "No enterprise should burn weeks of engineering time manually configuring infrastructure every time they need to stand up a new application," Foster said.
"Stack Automation by Quali was designed to solve that. Whether you're deploying a traditional workload or standing up a new AI application on a Cisco AI POD, you should be measuring time to outcome in hours, not weeks. That's what this platform offers," he said.
NVIDIA's software is central to the package, reflecting the company's growing role not only as a chip supplier but also as a provider of software tools for enterprise AI deployments. The inclusion of Nemotron models, NIM microservices and agentic AI development tools points to customer demand for pre-integrated building blocks rather than assembling each layer independently.
John Fanelli, Vice President of Enterprise Software at NVIDIA, linked the launch to the shift from experiments to operational use. "Enterprises are moving AI from pilots into production, and that demands more than great models, it demands a governed, full-stack platform they can run anywhere," Fanelli said. "With NVIDIA Nemotron models and NVIDIA AI Enterprise software, which includes NIM microservices and NVIDIA NemoClaw agent blueprints as the foundation, Cisco Stack Automation by Quali gives customers a fast, secure, policy-governed path to deploy NVIDIA-accelerated AI, from a RAG blueprint to Nemotron models, on their own Cisco Secure AI Factory infrastructure. It's how organizations turn individual deployments into production AI at scale, with confidence."
Market context
The launch comes as suppliers race to address a practical gap in enterprise AI adoption. Companies have invested heavily in data centre hardware and AI platforms, but many still face slow deployment cycles, fragmented operations and governance concerns once projects leave the proof-of-concept stage.
Quali has focused on infrastructure management and environment automation, particularly where organizations need control over governance, data residency and deployment across mixed infrastructure. The new Cisco-focused platform extends that positioning into a market where customers want more standardised ways to deploy full software and infrastructure stacks without prolonged integration work.
For Cisco, the arrangement adds another layer to its effort to make its AI infrastructure easier to consume as a complete system rather than a collection of separate components. For enterprise buyers, the pitch is straightforward: reduce manual setup work and make production deployments more repeatable across traditional applications and AI systems.
The platform supports a range of third-party AI software partners alongside Cisco infrastructure environments and is intended to help organizations deploy repeatable, policy-governed environments on Cisco Secure AI Factory with NVIDIA infrastructure in hours rather than weeks.