Nutanix Enterprise AI: from pilot to production without the complexity

Most enterprise AI programmes stall before they reach production. In fact, the share of companies scrapping most of their AI initiatives more than doubled in a single year. S&P Global’s 2025 survey of over 1,000 enterprises found that 42% abandoned most AI projects before production, up from 17% in 2024. But one factor lies beneath all the others: the infrastructure was never designed for this.

Cloud platforms offer speed and convenience for experimentation. Production is a different problem. Under UK GDPR, prompts, responses, embeddings, and logs may all contain personal data. Each pipeline component running outside the UK jurisdiction triggers transfer obligations.

Cost predictability matters too. Token-based billing creates expense patterns that traditional budgeting cannot absorb. Nutanix’s Enterprise Cloud Index 2026 surveyed 1,600 IT executives globally: 82% view their current infrastructure as not fully ready for on-premises AI, while 55% of IT leaders now see value in keeping AI workloads closer to their own infrastructure. The question is how to build that capability without creating a new silo of complexity.

A complete AI platform for IT generalists

Nutanix Enterprise AI delivers production-grade inference, model management, and agentic AI workflows on infrastructure your team already understands. It deploys on any CNCF-certified (Cloud Native Computing Foundation) Kubernetes environment, on-premises, at the edge, or in air-gapped facilities. Integration of NVIDIA Inference Microservices (NIM) and the NeMo framework enables agentic applications with built-in guardrails against prompt injection and harmful outputs. Your data stays where your governance framework requires it.

Nutanix GPT-in-a-Box 2.0 packages the full stack into a validated, turnkey solution. It bundles compute, storage, Kubernetes orchestration, vector databases, and validated AI models from Hugging Face and NVIDIA NIM, and runs on hardware from Dell, HPE, Lenovo, and Cisco. Nutanix Unified Storage supports NVIDIA GPUDirect, enabling direct data movement between storage and GPU memory without CPU bottlenecks. In MLPerf Storage 2025 benchmarks, a single cluster supports up to 2,312 accelerators.

Nutanix designed its platform for the generalists who run your data centre today. One-click model deployment, shared model services across business units, and token-based monitoring dashboards reduce the operational distance between experimentation and production.

In February 2026, AMD announced a $250 million strategic investment in Nutanix. The deal will extend the platform to support AMD Instinct GPUs alongside NVIDIA from late 2026. Accelerator choice is coming.

Why the infrastructure decision cannot wait

Data sovereignty, cost unpredictability, and latency are driving organisations to repatriate AI workloads. For UK organisations, these pressures are acute.

Three-quarters of UK financial services firms already use AI, according to a joint survey by the Bank of England and the FCA. The FCA’s Critical Third-Party regime requires enhanced scrutiny of systemically important technology providers.

The NHS 10-Year Health Plan identifies AI as one of five transformative technologies. A planned £150-180 million procurement framework will fund healthcare AI solutions across the service. Both sectors demand controlled infrastructure that cloud-only approaches struggle to deliver.

Organisations assessing their platform strategy can simultaneously enhance AI readiness. The procurement cycle is long. Decisions made now shape capability for the next three to five years.

How Softcat helps you build AI-ready infrastructure

Softcat was the first UK partner to supply a Nutanix cluster in 2013 and was the first Nutanix Premier-certified partner in the UK. Our Premier status validates our technical capabilities across over 260 customer deployments in the public and private sectors. In April 2025, Nutanix named Softcat UK&I Partner of the Year. Our Operations Centre also delivers the same level of support as Nutanix with 24/7 certified engineers.

Our support extends beyond infrastructure. Softcat’s Data, Automation, and AI team works with organisations to connect data to real business outcomes. Oakland, which joined the Softcat family in 2025, brings decades of expertise in helping organisations use their data effectively. Infrastructure readiness and data readiness are different problems. We address them together.

Choose a platform that adapts

The organisations capturing value from AI are not waiting for the perfect model. They are building infrastructure that supports choice, protects sovereignty, and adapts as requirements evolve. Open standards, vendor-agnostic design, and production-grade performance make that possible. Proprietary lock-in makes it harder.

Whether you are planning an infrastructure refresh or evaluating AI deployment options, Softcat can help. We will assess your position and plan a path forward. Click here to get in touch with our Sales team.