Introduction to Nexastack
Welcome to Nexastack — an all-in-one platform designed to deploy, manage, and scale AI applications seamlessly across any environment.
From development to production, Nexastack simplifies every step — ensuring security, compliance, and collaboration at scale.
What is Nexastack?
Nexastack is a unified platform that empowers teams to build, orchestrate, and monitor AI-driven systems using modular, cloud-native components.
It bridges everything you need — from model hosting and orchestration to monitoring and resource management — into one cohesive ecosystem.
Nexastack brings together:
- Workspaces: Centralized collaboration hubs for teams, projects, and resources.
- Projects: Self-contained environments to organize and manage AI workloads.
- MCP Servers: The backbone of AI Agents, enabling modular, scalable model execution.
- Deployments: Automated workflows for deploying MCP servers and agents effortlessly.
- Clusters: Kubernetes-backed infrastructure for running and scaling workloads reliably.
Each of these components works together to deliver a frictionless, production-ready AI deployment experience.
Why Nexastack?
Building and managing AI applications shouldn’t be complex.
Nexastack provides everything in one place — designed for developers, MLOps teams, and enterprises who want speed, visibility, and control.
Here’s what makes Nexastack stand out:
- Unified Infrastructure: Manage AI workloads, agents, and services from a single dashboard.
- Seamless Deployments: Deploy MCP servers via Git or Zip packages — no manual setup required.
- Scalable Architecture: Run on any Kubernetes cluster — on-premise, cloud, or managed by Nexastack.
- Collaborative Workflows: Organize teams, projects, and environments effortlessly.
- Observability Built-In: Enable tracing, monitoring, and performance insights with a single toggle.
Nexastack transforms AI deployment from a manual process into an automated, governed, and scalable workflow.
Platform Building Blocks
Workspaces
Your team’s command center. Each workspace provides a shared environment for collaboration, resource organization, and governance.
Projects
Projects act as containers for AI workloads — keeping all related configurations, assets, and team members in one place.
MCP Servers
MCP (Model Context Protocol) Servers serve as execution backends for AI Agents.
You can deploy them easily using Git repositories or pre-packaged Zip files.
Learn how to deploy an MCP Server →
Clusters
Clusters provide the compute backbone that powers your MCP Servers and AI Agents.
Choose from On-Premise, Managed by Nexastack, or Cloud clusters depending on your infrastructure needs.
Deploy AI Models
Easily configure environment variables, resource requirements, and deployment preferences — all through a guided, no-code interface.
Getting Started
Follow these quick steps to begin your Nexastack journey:
- Create your first workspace
- Set up a project
- Deploy an MCP Server
- Onboard a Kubernetes cluster
- Launch your first AI Agent
✨ Nexastack empowers you to build, deploy, and scale AI — all in one platform.
Start small, grow fast, and stay in control of your AI ecosystem.