AI Agents using CrewAI Studio & Jupyter with GPU support
TechLatest
AI Agents using CrewAI Studio & Jupyter with GPU support
TechLatest
AI Agents using CrewAI Studio & Jupyter with GPU support
TechLatest
From prototypes to production - design, build, and run intelligent AI agents at scale using CrewAI
Important: For step by step guide on how to setup this vm , please refer to our Getting Started guide
Note>The VM supports NVIDIA GPU for faster inference. If you want to use GPU instance then Please select GPU from below list or from the Publisher recommendations list available under Plans and Pricing tab of this offer.
NCasT4_v3-series
NVadsA10 v5-series
NVv3-series
ND-series
NCv3-series
Build, Orchestrate, and Scale Autonomous AI Agents Visually and Programmatically
Unlock the full potential of AI agent collaboration with this ready-to-use virtual machine featuring CrewAI , CrewAI-Studion andJupyterHub, fully optimized for NVIDIA GPU acceleration. Whether you're crafting LLM-based autonomous workflows or exploring multi-agent intelligence, this setup gives you the tools, speed, and flexibility to move fast from idea to deployment.
What is CrewAI?
CrewAI is a powerful open-source framework designed to create collaborative, role-based AI agents that can reason, delegate, and work together to solve complex tasks. Inspired by human teamwork, CrewAI enables the orchestration of agents into intelligent "crews"—each with specific responsibilities and tools.
Core Capabilities:
CrewAI-Studio – No-Code Interface for Agent System Design
CrewAI-Studio is the official no-code UI for CrewAI. It allows you to visually build, test, and deploy multi-agent LLM systems with just a few clicks. Designed for both beginners and advanced users, it brings AI agent orchestration into an intuitive, interactive interface.
Highlights:This tool enables product managers, analysts, and non-developers to collaborate effectively in agent-driven development, making multi-agent intelligence accessible to broader teams.
JupyterHub – AI Notebook Platform for Code-Driven Workflows
Complementing CrewAI-Studio is JupyterHub, a browser-based development environment preloaded with the libraries and SDKs you need to build, extend, and test CrewAI logic at the code level.
NVIDIA GPU Support – Built for AI Speed & Scale
This virtual machine is provisioned with NVIDIA GPU acceleration, ensuring maximum performance for:
Whether you're building prototypes or deploying production-level systems, GPU support ensures your agents run at peak efficiency.
Note: The VM can also be deployed without GPU acceleration, only with CPU support if you initially don’t need it.
Why Choose Techlatest VM Solution?
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