Deploy NemoClaw — GPU-Accelerated AI Agents Powered by NVIDIA NeMo

NemoClaw is NVIDIA's agentic AI framework built on the NeMo stack — combining GPU-accelerated inference, multi-modal reasoning, and retrieval-augmented generation (RAG) into a single deployable agent runtime. It supports Telegram, Discord, and Slack out of the box, with a REST API and WebSocket control plane for custom integrations.

Deploying it manually means provisioning a server, configuring the NeMo runtime, pulling the container image, and wiring up API keys and channels. With HowToDeploy, the entire setup takes a few clicks.

Why NemoClaw?

• GPU-accelerated inference — leverages NVIDIA's NeMo runtime for fast, hardware-optimized AI inference
• Multi-modal reasoning — handles text, code, and documents in a single agent
• Retrieval-augmented generation (RAG) — built-in vector search for grounding responses in your own data
• Enterprise-grade orchestration — task routing across multiple agent capabilities
• REST API + WebSocket — integrate NemoClaw into any existing workflow or application
• 3 messaging channels — Telegram, Discord, and Slack ready to connect

Prerequisites

Before you start, you'll need:

• A HowToDeploy account (sign up free)
• A cloud provider API key (DigitalOcean, Hetzner, Vultr, Linode, or AWS)
• An NVIDIA API key from build.nvidia.com (NGC / NIM access)

Step 1: Connect your cloud provider

Go to Settings → Cloud Providers and paste your API key. Any supported provider works.

Tip: NemoClaw runs on CPU-only servers for lighter workloads, but a GPU-enabled instance is recommended for full inference performance. The default is 8GB RAM / 4 CPU — upgrade to a GPU plan in Advanced Settings for best results.

Step 2: Deploy NemoClaw

Head to the Dashboard and find NemoClaw in the AI Agents section. Click the card to open the deploy form.

You only need one field:

• NVIDIA API Key — your NIM / NGC key for accessing NVIDIA's hosted models

Server size (8GB RAM, 4 CPU, 50GB disk), region, and everything else are pre-configured with sensible defaults.

Step 3: Customize your setup (optional)

Expand Advanced Settings to add:

• Custom NeMo Model Endpoint — point NemoClaw at your own self-hosted NeMo inference endpoint instead of NVIDIA's hosted models
• Telegram Bot Token — connect a Telegram bot via @BotFather
• Discord Bot Token — from the Discord Developer Portal
• Slack Bot Token — from api.slack.com

You can add or change any of these settings later by editing the config on your server.

Step 4: Start using your agent

Once deployment completes (roughly 2–3 minutes), NemoClaw is live. Access the REST API on port 8080, or message your connected bot on Telegram, Discord, or Slack.

The NeMo runtime handles model loading and inference optimization automatically — no manual tuning required.

What's included

Every NemoClaw deployment includes:

• NeMo runtime — NVIDIA's GPU-accelerated inference engine
• RAG pipeline — built-in vector search and document retrieval
• Multi-modal processing — text, code, and document reasoning
• REST API — full programmatic control on port 8080
• WebSocket control plane — real-time bidirectional communication
• Full SSH access — your server, your agent, your data

Who is NemoClaw for?

NemoClaw is ideal for teams and developers who want:

• Enterprise-grade AI agents with GPU acceleration and multi-modal capabilities
• RAG-powered responses grounded in their own documents and knowledge base
• NVIDIA ecosystem integration — works with NIM, NGC, and self-hosted NeMo endpoints
• Production-ready infrastructure — task routing, orchestration, and monitoring built in

NemoClaw vs other claw agents

Pricing

You pay your cloud provider directly for the server. GPU-enabled instances vary by provider — expect $30-80/month for a basic GPU tier, or $8-15/month for CPU-only. HowToDeploy charges a small monthly management fee for monitoring and support.

Start with a 7-day free trial — no credit card required.

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Ready to deploy GPU-accelerated AI agents? Deploy NemoClaw now →