Speaker
Roman Kalchenko
Team Lead Nutanix Solutions
AI has become an operational standard. The question is no longer whether to adopt it, but how to do it right. Gartner forecasts that up to 40% of agentic AI projects could be cancelled by 2027, and the cause is that costs running out of control and risk governance lagging behind the pace of adoption. In parallel, the AI gateway market is set to grow from under $250M to $1B by 2028 when controlling access to models is becoming an infrastructure category of its own.
In this session we will look at how Nutanix Enterprise AI helps teams deploy, manage and scale AI models on their own infrastructure – without chaos, cloud dependency or security trade-offs.
WHAT TO EXPECT:
- Practical enterprise AI scenarios: internal chatbot, document assistant, secure code assistant, support automation, document search and summarisation, private LLM for regulated industries.
- How to launch an LLM inside your own perimeter, step by step: deploy on your existing Kubernetes (NKP, EKS, AKS, GKE, Rancher), pick a model from the catalogue, issue a secure endpoint and an API key to the application.
- RAG without retraining the model: how to connect corporate documents, wikis, file and object storage and databases with governed access and what else a full RAG pipeline requires.
- Agent Gateway and MCP: the control layer the MCP standard itself does not provide – tool-level filtering (read-only vs write per agent), centralised API keys, token-based rate limiting, fallback across providers and on-prem.
- Straight answers on security, data control and compliance: RBAC, AD / LDAP / SAML (SSO), audit, observability, log export.
- Real GPU optimisation and cost reduction cases: MIG and vGPU, fractional and full GPU across NVIDIA, AMD and Intel.
- Build it yourself or take it ready: an honest comparison of a DIY stack of dozens of components versus a turnkey platform that deploys in hours.
- Live Q&A with the speakers.
WHO SHOULD ATTEND:
- CIOs, CTOs and IT directors – AI strategy, economics and time to value
- Infrastructure leads, platform and DevOps teams – deployment, Day-2 operations, scaling
- Security and compliance – data control, sovereignty, audit and access separation
- Data and AI leaders – how to move from pilot to production.
Industries: banking and finance, public sector, telecom, healthcare, large enterprise, service providers.
Registration bonus – after registering you will also receive an email with links to two materials:
· Nutanix Enterprise AI – a brief introduction for executives (CEO · CIO · CTO) – one page: the problem, the solution, how it works, and key benefits. This format is perfect for internal discussions in five minutes.
· Nutanix Enterprise AI – Enterprise AI under Control – full description of the platform: architecture, RAG, MCP and Agent Gateway, DIY vs. Nutanix comparison, use cases and business value.
