Hyperstack - Tutorials

Step-by-Step Guide to Deploying NVIDIA's NemoClaw on Hyperstack

Fareed Khan — Fri, 27 Mar 2026 09:24:18 GMT

What is NemoClaw?

NemoClaw is NVIDIA's open source security stack for OpenClaw, the viral open-source personal AI agent platform with over 300K GitHub stars. Announced at GTC on March 16, 2026, NemoClaw wraps OpenClaw with the NVIDIA OpenShell runtime to provide kernel-level sandboxing, network policy controls, and audit trails for AI agents.

Securing OpenClaw on Hyperstack: Safe AI Agent Deployment

Fareed Khan — Tue, 24 Mar 2026 13:23:54 GMT

OpenClaw was released in November 2025 and quickly caught the attention of developers because of how practical and flexible it is. It allows you to connect different tools, APIs, and custom integrations in a very smooth way, which makes building agent-based workflows much easier. The community around OpenClaw is also growing fast, and its ecosystem is expanding as more developers contribute integrations and extensions.

Manage Cloud Infrastructure with Open WebUI Using the Hyperstack MCP Server

daman.preet@nexgencloud.com (Damanpreet Kaur Vohra) — Wed, 18 Mar 2026 09:46:06 GMT

AI assistants like Claude Desktop and modern agent frameworks are changing how developers interact with AI. Instead of manually writing API calls, you can simply describe what you want in plain English and let AI carry out the task.

And how does this happen? The Hyperstack MCP (Model Context Protocol) Server makes it possible.

How to Deploy Qwen3.5 on Hyperstack

Fareed Khan — Tue, 24 Feb 2026 10:28:30 GMT

What is Qwen3.5?

Qwen3.5 is a powerful, open-weight AI model built to act as a highly capable digital assistant that understands text, code, images, and video. It uses a highly efficient "Mixture-of-Experts" design, meaning it holds a massive 397 billion parameters but only activates 17 billion at a time to answer a prompt, making it incredibly fast without losing its trillion-parameter-level smarts. It can also process up to 1 million tokens at once, easily handling massive codebases, two-hour videos, and long, multi-step tasks in a single go.

Optimising Long-Context LLMs with KVPress Compression on Hyperstack

Fareed Khan — Mon, 23 Feb 2026 15:03:52 GMT

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We love keeping up to date with the latest techniques, so we decided to put NVIDIA KVPress to the test. Spoiler alert: it provides massive memory savings and faster inference.

As Large Language Models scale to massive context windows, the Key-Value (KV) cache has become the primary bottleneck for inference speed and memory. While libraries like KVPress offer compression techniques to shrink this cache, a critical question remains: Can you really delete 80% of a model's memory without degrading its reasoning capabilities?

In this guide, we conduct a head-to-head benchmark on Hyperstack’s H100 infrastructure. We compare a standard training-free approach (KnormPress) against NVIDIA’s state-of-the-art retrofitted model (DMS) to see which approach gives the highest performance and efficiency for the Qwen 3-8Bmodel under demanding workloads.

Quick Steps to Deploy Ollama on Hyperstack

daman.preet@nexgencloud.com (Damanpreet Kaur Vohra) — Tue, 10 Feb 2026 09:31:44 GMT

This setup guide shows you how to deploy Ollama on Hyperstack so you can quickly run LLMs on GPU-powered cloud infrastructure. Ollama is ideal for fast experimentation and local-style model testing while Hyperstack provides on-demand GPUs for reliable performance. Follow the steps below to launch a working Ollama setup in minutes and start running models with minimal configuration.

How to Deploy and Run Qwen3: Step-by-Step Guide | Hyperstack

Fareed Khan — Wed, 04 Feb 2026 14:21:20 GMT

What is Qwen3-Coder-Next?

Qwen 3 TTS CustomVoice Guide: How to Run and Deploy

Fareed Khan — Fri, 30 Jan 2026 09:42:05 GMT

If you are looking to run Qwen 3 TTS CustomVoice efficiently on cloud GPUs, this tutorial shows you exactly how to deploy it on Hyperstack. Qwen 3 TTS is designed for high-fidelity, low-latency speech synthesis, but real-world performance depends heavily on GPU configuration, memory setup, and deployment strategy. This guide walks through the full process so you can achieve production-ready text-to-speech performance quickly. With clear commands, configuration tips, and cost-aware choices, this tutorial removes the guesswork from running Qwen 3 TTS CustomVoice at scale.

How to Deploy Open WebUI on a GPU Server

daman.preet@nexgencloud.com (Damanpreet Kaur Vohra) — Fri, 23 Jan 2026 09:32:25 GMT

If you are looking for a simple way to run a ChatGPT-like interface on your own infrastructure without giving up performance or control, OpenWebUI is built for exactly that. OpenWebUI is an open-source, self-hosted AI web interface that lets you interact with LLMs using Ollama or OpenAI-compatible APIs, all while keeping your data private. When paired with GPU-powered cloud infrastructure, it delivers fast, responsive inference suitable for real development and production workloads.

This setup guide shows you how to deploy Open WebUI on Hyperstack so you can quickly get started using GPU-powered cloud infrastructure. Follow the guide below to launch a working setup in just a few minutes.

How to Run Devstral 2 on Hyperstack: A Comprehensive Guide

Fareed Khan — Fri, 12 Dec 2025 16:07:55 GMT

If you’re looking to run Devstral 2 efficiently on cloud GPUs, this tutorial shows you exactly how to do it on Hyperstack. Devstral 2 is designed for high-performance inference, but real-world results depend heavily on GPU configuration and deployment setup. This guide walks through the full process, o you can get production-ready performance quickly. With clear commands, configuration tips and cost-aware choices, this tutorial removes the guesswork from running Devstral 2 at scale.