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Best NemoClaw VPS India 2026 — NVIDIA NemoClaw Setup Guide

Mayank SharmaMayank Sharma
March 29, 202610 min read

NVIDIA NemoClaw

How to Install NemoClaw on VPS India 2026 — NVIDIA NemoClaw Setup Guide

📅 March 28, 2026🏢 GigaNodes📍 Yotta Noida DC⏱ 10 min read

NVIDIA NemoClaw was announced by Jensen Huang at GTC 2026 on March 16, 2026 — and it is already the fastest way to run OpenClaw AI agents securely on a VPS. This guide shows you how to install NemoClaw on a VPS in India step by step, what specs you need, and why GigaNodes AMD EPYC VPS is the best platform for running NemoClaw in India.


What Is NVIDIA NemoClaw?

NemoClaw is an open-source reference stack that installs on top of OpenClaw and adds NVIDIA OpenShell runtime — a security sandbox that governs every network request, file access, and inference call an AI agent makes. Announced at GTC 2026, NemoClaw is currently in alpha preview (March 16, 2026). It is hardware-agnostic — works on any Linux VPS, not just NVIDIA GPU machines.

Mar 16
GTC 2026 Launch
Open Source
Apache 2.0
1 Command
Install
Any GPU
Hardware Agnostic

NemoClaw vs OpenClaw — What’s the Difference?

OpenClaw is the base AI agent platform — the most popular open-source project in history according to Jensen Huang. It lets you run AI agents locally that can browse, code, and execute tasks autonomously. The problem for enterprises is security: OpenClaw agents can make arbitrary network calls and file system changes without any governance layer.

NemoClaw solves this. It wraps OpenClaw inside NVIDIA OpenShell — a sandboxed container runtime where every agent action is governed by declarative security policies. Network egress is controlled. File system access is restricted. Inference calls are routed through the OpenShell gateway. You can approve or deny individual network requests in real-time from a monitoring UI.

Feature OpenClaw NemoClaw
Security sandbox ❌ None ✅ NVIDIA OpenShell
Network egress control ❌ Unrestricted ✅ Policy governed
File system access ❌ Unrestricted ✅ Sandboxed
Inference routing Direct API calls ✅ Via OpenShell gateway
Enterprise ready ❌ Not yet ✅ Built for enterprise
Hardware requirement Any hardware Any hardware (GPU not required)
Install method npm/git ✅ 1 curl command

NemoClaw VPS Requirements — Official NVIDIA Specs

These are the official hardware and software requirements from NVIDIA’s documentation for running NemoClaw on a VPS:

Resource Minimum Recommended GigaNodes Plan
CPU 4 vCPU 4+ vCPU Cloud S — 4 vCore ✅
RAM 8 GB 16 GB Cloud S 8GB ✅ / Cloud M 16GB ⭐
Disk 20 GB free 40 GB free Cloud S 60GB NVMe ✅
OS Ubuntu 22.04 LTS Ubuntu 22.04+ Ubuntu 22.04 ✅
Node.js v20+ v20+ Install via script ✅
npm v10+ v10+ Bundled with Node.js ✅
Docker Latest stable Latest stable apt install docker.io ✅
NVIDIA OpenShell Required Required Installed by NemoClaw script ✅

⚠️ Important: The sandbox image is ~2.4GB compressed. During image push, Docker, k3s, and OpenShell gateway run simultaneously and buffer decompressed layers in memory. On machines with less than 8GB RAM, the OOM killer can terminate the process. Configure at least 8GB swap if RAM is limited.

How to Install NemoClaw on VPS India — Full Guide

Step 1 — Order and SSH into your GigaNodes VPS

Order Cloud M (recommended) or Cloud S at giganodes.host/vps/india with Ubuntu 22.04 LTS. SSH in with your credentials.

ssh root@YOUR_VPS_IP

Step 2 — Update system and install Docker

apt update && apt upgrade -y
apt install -y docker.io curl
systemctl enable –now docker
# Verify Docker is running
docker –version

Step 3 — Install Node.js 20 (required by NemoClaw)

curl -fsSL https://deb.nodesource.com/setup_20.x | bash –
apt install -y nodejs
# Verify versions
node –version # Should show v20.x
npm –version # Should show v10.x

Step 4 — Run the NemoClaw installer (single command)

This single command installs the NemoClaw CLI, NVIDIA OpenShell runtime, and runs the guided onboard wizard to create your first sandbox, configure inference, and apply security policies:

curl -fsSL https://nvidia.com/nemoclaw.sh | bash

The installer auto-detects your environment, installs OpenShell, configures inference to use NVIDIA Nemotron models via NVIDIA Cloud API, and creates your first sandboxed agent. When complete, you will see a summary:

──────────────────────────────────────────────────
Sandbox my-assistant (Landlock + seccomp + netns)
Model nvidia/nemotron-3-super-120b-a12b (NVIDIA Cloud API)
──────────────────────────────────────────────────
Run: nemoclaw my-assistant connect
Status: nemoclaw my-assistant status
Logs: nemoclaw my-assistant logs –follow
──────────────────────────────────────────────────
[INFO] === Installation complete ===

Step 5 — Connect to your sandboxed agent

nemoclaw my-assistant connect

Step 6 — Chat with your NemoClaw agent

Option A — Interactive TUI (recommended):

sandbox@my-assistant:~$ openclaw tui

Option B — Single CLI message:

sandbox@my-assistant:~$ openclaw agent –agent main –local -m “hello” –session-id test

NemoClaw CLI Reference — Key Commands

Command What It Does
nemoclaw my-assistant connect Open interactive session with sandboxed agent
nemoclaw my-assistant status Check sandbox status, running services
nemoclaw my-assistant logs –follow Tail live logs from the sandbox
nemoclaw –help Full CLI reference and available commands
openclaw tui Launch interactive chat TUI inside sandbox
openclaw agent –agent main –local -m “prompt” Send single message to agent via CLI

How NemoClaw Works — Architecture

Understanding the NemoClaw stack helps you configure and troubleshoot it on your VPS. The stack has four core components:

NemoClaw CLI

TypeScript CLI that orchestrates the full stack — launch, connect, status, and logs commands.

OpenShell Gateway

Routes all inference calls through a governed gateway. Logs and controls every model request.

Sandbox Container

Isolated OpenShell container running OpenClaw with policy-enforced egress and filesystem restrictions.

Blueprint System

Versioned Python artifact that orchestrates sandbox creation, security policy, and inference setup.

The sandbox lifecycle follows four stages: resolve the blueprint artifact → verify its digest → plan the resources → apply through the OpenShell CLI. This ensures every NemoClaw deployment is reproducible and auditable.

Why Run NemoClaw on a VPS in India?

Always-On AI Agents

NemoClaw is designed for always-on AI assistants. Running it on your laptop means the agent stops when you close the lid. A GigaNodes VPS keeps your NemoClaw sandbox running 24/7 — your AI agent can complete long-running tasks overnight, respond to webhooks, and monitor systems continuously without any local machine dependency.

Data Stays in India

NemoClaw processes your agent’s workspace files, conversation history, and task context on the VPS. Hosting at Yotta Noida DC keeps all this data inside India — critical for businesses with DPDP Act compliance requirements or handling sensitive Indian customer data.

First-Mover Advantage

NemoClaw launched March 16, 2026 — less than 2 weeks ago. Indian businesses that deploy NemoClaw agents now get 3–6 months of productivity advantage over competitors who wait. A VPS in India means your AI agents respond to Indian business hours, connect to Indian APIs with low latency, and handle Indian-specific business workflows natively.

Next Steps After Installing NemoClaw

  • Switch inference providers — Change from NVIDIA Cloud API to a local Nemotron model or another endpoint using nemoclaw my-assistant inference config
  • Approve/deny network requests — Monitor what URLs your agent tries to access and approve or deny them in the OpenShell TUI
  • Customize network policy — Pre-approve trusted domains (your internal APIs, Razorpay, Zoho) so the agent doesn’t prompt for approval on every call
  • Set up Telegram bridge — Connect NemoClaw to Telegram so you can chat with your AI agent from your phone
  • Monitor sandbox activity — Use the OpenShell TUI to view all agent actions, file accesses, and network calls in real-time
  • Backup workspace — Use the built-in backup/restore system to snapshot your agent’s identity, memory, and config files

GigaNodes VPS Plans for NemoClaw India

Plan vCores RAM NVMe Monthly NemoClaw Fit
Cloud S 4 vCore 8 GB 60 GB ₹1,800 ✅ Meets minimum — 1 sandbox
Cloud M ⭐ Recommended 8 vCore 16 GB 120 GB ₹3,600 ✅ Meets recommended — stable production
Cloud L 16 vCore 32 GB 256 GB ₹7,200 ✅ Multiple sandboxes, enterprise teams
Cloud XL 20 vCore 64 GB 512 GB ₹14,400 ✅ Large-scale agent deployment

All plans: AMD EPYC 7C13 · 141,108 IOPS NVMe · KVM · Full root SSH · Ubuntu 22.04 · Docker ready · Stormwall DDoS · Yotta Noida DC · UPI · GST invoice · 99.9% SLA

🔴 Need Max Single-Core Speed? Ryzen 9 5950X VDS India

For NemoClaw workloads that are single-threaded by nature — interactive TUI sessions, real-time agent responses, and low-latency task execution — the Ryzen 9 5950X is India’s fastest single-core VDS CPU at 4.9 GHz boost clock, water cooled for zero throttling.

4.9 GHzBoost Clock
Water CooledNo Throttling
#1 IndiaSingle-Core VDS
KVMTrue Isolation
Plan vCores RAM NVMe Price/mo
Storm S 4 vCore 8 GB 120 GB ₹2,250 +GST
Storm M Popular 6 vCore 16 GB 200 GB ₹4,500 +GST
Storm L 12 vCore 32 GB 350 GB ₹9,000 +GST
Storm XL 20 vCore 60 GB 700 GB ₹18,000 +GST

Ryzen 9 5950X · 4.9 GHz boost · Water cooled · KVM · Unmetered bandwidth · Stormwall DDoS · Prices excl. 18% GST

View Storm VDS Plans →
View EPYC VPS Plans →

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NemoClaw VPS India — Frequently Asked Questions

What is NVIDIA NemoClaw?
NemoClaw is an open-source reference stack that runs OpenClaw AI agents more securely inside NVIDIA OpenShell. It sandboxes every network request, file access, and inference call behind declarative policies. Announced at GTC 2026 on March 16, currently in alpha preview.
What VPS specs does NemoClaw require?
Minimum: 4 vCPU, 8GB RAM, 20GB disk, Ubuntu 22.04, Node.js 20+, Docker, NVIDIA OpenShell. Recommended: 4+ vCPU, 16GB RAM, 40GB disk. GigaNodes Cloud S meets minimum (₹1,800/mo). Cloud M (16GB RAM, ₹3,600/mo) is recommended for stable production.
Can I run NemoClaw without an NVIDIA GPU?
Yes. NemoClaw is hardware-agnostic — it works on any Linux VPS with or without NVIDIA GPU hardware. By default it routes inference to NVIDIA Cloud API using Nemotron models. GigaNodes AMD EPYC VPS runs NemoClaw fully without any GPU requirement.
What is the difference between NemoClaw and OpenClaw?
OpenClaw is the base AI agent platform. NemoClaw wraps OpenClaw inside NVIDIA OpenShell — adding a security sandbox that controls network egress, file system access, and inference routing. NemoClaw = OpenClaw + enterprise security layer.
Is NemoClaw production-ready?
No — NemoClaw is in alpha preview as of March 16, 2026. APIs, configuration schemas, and runtime behavior may change without notice. NVIDIA recommends not using it in production environments yet. File issues via the GitHub repository.

Run NemoClaw on GigaNodes VPS India

AMD EPYC 7C13 · Ubuntu 22.04 · Docker Ready · Full Root SSH · From ₹1,800/mo · UPI + GST · Noida DC

Get Started with GigaNodes VPS →

99.9% uptime SLA · Stormwall DDoS included · 24/7 support

 

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Mayank Sharma

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Mayank Sharma

Part of the GigaNodes team, bringing you insights on game hosting and cloud infrastructure.