Xebia Partners with NVIDIA to Bring Production Discipline to Enterprise AI at Scale

At a Glance

From AI Pilots to Production at Scale

Enterprises have rapidly adopted artificial intelligence (AI), but relatively few have moved beyond isolated pilots to achieve real business impact. In fact, while nearly 90% of companies use AI in some form, two-thirds remain stuck in experimentation or pilot phases, with only 39% seeing any effect on the bottom line. The challenge isn’t proving AI’s potential anymore; it’s deploying AI responsibly, securely, and at scale in production environments. Recognizing this gap, Xebia – a global AI-first consulting and engineering firm – has announced a strategic collaboration with NVIDIA to help organizations bring AI initiatives out of the lab and into production-scale deployments. The partnership focuses on instilling the “production discipline” needed for high-performance AI, especially in regulated sectors like healthcare, banking, and financial services, where governance and operational control are paramount.

“Enterprises are no longer asking whether AI works. They are asking how to deploy it responsibly, securely, and at scale,” said Anand Sahay, CEO of Xebia. “Working with NVIDIA strengthens our ability to help organizations operationalize high-performance AI in real production environments, including advanced systems where sovereignty, latency, and operational control are non-negotiable."

Xebia’s message resonates in an era when companies seek to transition from successful proofs of concept to reliable, scalable AI services for customers and employees. Research suggests that building AI solutions with the right partners can dramatically improve success rates, especially for highly regulated industries. One MIT-backed study, for example, found that enterprises partnering with specialized providers succeed in about 67% of AI initiatives, whereas purely in-house efforts succeed only about one-third as often. This Xebia–NVIDIA collaboration exemplifies such a partnership, marrying NVIDIA’s cutting-edge AI technology stack with Xebia’s proven engineering frameworks to bridge the gap between AI ambition and real-world value.

Accelerating Time-to-Value with AI Building Blocks

A key focus of the Xebia–NVIDIA alliance is accelerating time-to-value for enterprise AI projects. Too often, companies invest months in experimental models that never make it to production. To break this cycle, Xebia will leverage NVIDIA’s pre-built AI components, notably NVIDIA NIM inference microservices and NVIDIA AI Blueprints, as reusable building blocks in enterprise solutions. These tools provide a jump-start in deploying sophisticated AI workloads without reinventing the wheel: 

By integrating NVIDIA’s full-stack AI ecosystem with Xebia’s own digital engineering accelerators and frameworks, enterprises can deploy AI with production-grade reliability from day one. The use of consistent, modular components not only speeds up initial implementation but also makes it easier for client teams to manage, update, and scale their AI infrastructure over time. In other words, the collaboration is designed to deliver immediate results and long-term maintainability – a combination that shortens the path to ROI while ensuring AI systems remain sustainable after launch. As a result, organizations can adopt advanced AI capabilities faster without compromising on robustness or governance, an especially critical factor for mission-critical and regulated use cases.

Ensuring AI Sovereignty and Deployment Flexibility

Another pillar of the partnership is support for data sovereignty, security, and deployment flexibility. For many industries, particularly healthcare, banking, and other financial services, strict data privacy and compliance requirements, or low-latency needs, mean AI solutions cannot rely solely on public cloud services. Enterprises increasingly demand the freedom to run AI workloads in private clouds, on-premises data centers, or sovereign cloud environments, all while avoiding vendor lock-in. Xebia’s collaboration with NVIDIA directly addresses this need for portable, cloud-agnostic AI deployments.

NVIDIA’s software stack (including NIM microservices and AI frameworks) is designed to run on any NVIDIA-accelerated platform, whether on a hyperscale cloud or on servers behind a company's firewall. Xebia brings expertise in open-source integration and cloud-agnostic architecture, ensuring that AI solutions built through this partnership can be deployed “anywhere” without modification. An enterprise could, for example, develop a machine learning model with Xebia and NVIDIA’s tools in a test environment on a public cloud, then later deploy the same solution on dedicated on-premises hardware to meet data residency rules or latency constraints. The underlying technology remains consistent, reducing friction when moving across environments and preventing getting stuck with a single-provider solution.

“As enterprises scale AI beyond pilots, the ability to deploy and operate systems across private, hybrid, and sovereign environments is becoming essential,” noted Preetpal Singh, Xebia’s Global Managing Director of Products & Platforms. “Working with NVIDIA allows us to pair enterprise-grade AI software and accelerated computing with proven engineering discipline, so organizations can run advanced AI workloads with the control, portability, and reliability required in real production settings.”

In practical terms, this means a bank or healthcare provider can confidently roll out AI-driven applications, such as a medical imaging diagnostic tool or a fraud detection system, on infrastructure it controls, all backed by NVIDIA’s validated AI platforms and Xebia’s engineering rigor. Such deployments offer the performance benefits of NVIDIA’s GPUs and optimized software, without forcing the client into a managed cloud service they’re uncomfortable with. This flexibility is increasingly critical: being able to “think global, act local” with AI, to use cutting-edge models and tools in a locally controlled environment, is what many CIOs and CTOs now consider a non-negotiable requirement for enterprise AI. By offering solutions that are both high-performance and infrastructure-independent, Xebia and NVIDIA aim to give organizations the best of both worlds: breakthrough AI capabilities plus full sovereignty over data and operations. 

Empowering Teams and Sustaining Innovation

Beyond technology, Xebia is also investing in the human and process side of enterprise AI adoption. A successful production AI system isn’t a one-off deployment – it requires ongoing adaptation, monitoring, and enhancement. To that end, Xebia is ramping up its NVIDIA expertise through dedicated training and certifications for its consultants and engineers. This ensures that Xebia’s teams are fully fluent in NVIDIA’s latest AI offerings and can extract maximum value from them when crafting solutions for clients.

More importantly, Xebia’s delivery approach emphasizes embedding hands-on knowledge transfer into every engagement. Rather than simply building a system and handing over the keys, Xebia’s experts work side by side with client teams throughout the process. They co-create solutions and equip in-house teams to manage, operate, and evolve their AI systems independently post-deployment. Over time, this means the client’s own engineers and IT staff become confident operators of the NVIDIA-powered AI infrastructure, capable of tuning models, updating components, and extending functionality as needed. Such enablement is crucial in regulated industries, where internal oversight and understanding of AI systems help build trust and ensure compliance. It also aligns with Xebia’s people-first, sustainable approach: the goal is not just to deliver a one-time project, but to leave the organization stronger in its AI journey than before.

This long-term view is particularly appealing to enterprise executives (and even potential investors) evaluating the partnership’s value. It indicates that Xebia is focused on durable client success rather than quick wins. By ensuring that AI deployments are maintainable and that client teams are self-sufficient, the Xebia–NVIDIA collaboration reduces the risk that AI initiatives will fizzle out after the initial fanfare. Instead, it creates a foundation for continuous innovation – companies can build on their new AI capabilities knowing they have both the technical tools and the internal talent to drive ongoing improvements.

A Blueprint for Enterprise AI Success

For CIOs, CTOs, and business leaders, the message from this partnership is clear: bridging the gap between AI ambition and AI at scale requires both advanced technology and disciplined engineering. Xebia’s alliance with NVIDIA brings together exactly those elements. NVIDIA contributes its world-class AI computing platform – from GPUs to software microservices –, and Xebia provides the methodology and expertise to implement it in the messy reality of enterprise IT. The result is an approach to AI that promises speed, performance, and governance in equal measures.

As companies across healthcare, banking, finance, and other sectors look to infuse AI more deeply into their operations, many will be watching how Xebia and NVIDIA deliver on these promises. If successful, this collaboration could serve as a model for how enterprises can harness state-of-the-art AI (like generative models and autonomous agents) in a way that is production-ready from day one. It demonstrates that with the right building blocks and partners, even highly regulated organizations can embrace AI at scale without compromising on security, compliance, or control. And by cultivating in-house capabilities through knowledge transfer, Xebia ensures that the benefits of this partnership are not just immediate but compound over time.

Xebia’s strategic move to partner with NVIDIA signals its commitment to being at the forefront of enterprise AI transformation. It blends the innovation of a technology leader with the pragmatism of an experienced integrator. For industry peers and potential investors alike, it’s an initiative that underscores Xebia’s credentials as a key enabler of AI in the enterprise – bringing production discipline to AI dreams, and turning them into reliable business reality. 

Frequently Asked Questions

What is the goal of the Xebia and NVIDIA partnership?

The goal is to help enterprises operationalize AI at scale by applying production discipline, so AI systems are reliable, secure, and deliver real business value beyond pilots.

How does this partnership accelerate AI deployment?

Xebia leverages NVIDIA’s pre-built AI components, including NIM inference microservices and AI Blueprints, to reduce custom engineering and accelerate the deployment of AI solutions to production.

How does this collaboration support regulated industries?

AI solutions can be deployed in private, hybrid, on-premises, or sovereign environments, enabling compliance with data privacy, security, and latency requirements in sectors like healthcare and financial services.

Can enterprises avoid vendor lock-in with this approach?

Yes. The solutions are cloud-agnostic and portable across environments, allowing organizations to retain control over their infrastructure and data.

What makes this approach production-ready rather than experimental?

The combination of NVIDIA’s enterprise-grade AI software and Xebia’s proven engineering frameworks ensures AI systems are governable, maintainable, and scalable from day one.