TABLE OF CONTENTS
NVIDIA H100 SXM On-Demand
Hyperstack Monthly Update
March brought a range of updates to the Hyperstack platform, with a focus on improving how you interact with your infrastructure. We also released exciting tutorials on Hyperstack MCP, OpenClaw and NemoClaw following its introduction at the NVIDIA GTC 2026.
Scroll down to explore the highlights.
New on Hyperstack
Here's what we released on Hyperstack in March:
Hyperstack MCP Server
We introduced the Hyperstack MCP (Model Context Protocol) Server, a new interface layer that allows you to manage infrastructure using natural language.
Instead of relying on manual API calls or navigating multiple dashboards, the MCP Server translates plain English instructions into secure and structured API operations. This makes common tasks like provisioning VMs, managing resources or updating configurations faster and more intuitive.
The MCP Server is compatible with MCP-enabled clients such as Claude Desktop and Open WebUI. This lets you integrate infrastructure control directly into the tools you already use.
- No need to write or manage raw API calls
- Faster execution of routine infrastructure tasks
- Reduced friction in developer workflows
Node Group Firewall Management for Clusters
Firewall rules can now be defined and managed at the node group level within Kubernetes clusters. These rules can be configured directly from the console after cluster deployment and are automatically applied across all worker nodes in the selected node group.
Node Group Firewall API Support
Firewall management for node groups is now fully supported via API using the firewall_ids field. This capability is available across the following endpoints:
- Create Cluster: Apply firewall rules during cluster creation.
- Create Node Group: Apply firewall rules when adding node groups.
- Update Node Group: Update firewall rules for existing node groups.
Across all cluster-related API responses that include the node_groups object, it will now return associated firewall details for each node group.
Latest Fixes and Improvements
We also made some improvements on Hyperstack to make your experience even better:
Kubernetes Cluster Deployment Defaults
The cluster deployment experience has been improved by automatically selecting the Kubernetes version and setting Full Deployment Mode as the default option.
User Role Management Improvements
The Create and Edit User Role experience has been enhanced with:
- A new resource-based permission filter
- Clear visibility of permissions by resource group with selection counts
- Reduced horizontal scrolling and improved layout for better usability
Improved Resource Availability Error Messaging
VM and Kubernetes cluster creation failures due to temporary capacity shortages now display a clearer message, indicating resource unavailability and suggesting a retry.
VM Hibernation Request Handling Improvements
Improved lifecycle handling ensures instance states remain consistent during operations like hibernation, preventing duplicate requests while an operation is already in progress.
Firewall Attachment Improvements
Enhanced reliability and usability when attaching virtual machines to firewalls, with more consistent handling of VM states and firewall updates.
New on the Blog
Check out exciting blogs and tutorials on Hyperstack this month:
Deploying NVIDIA's NemoClaw on Hyperstack:
Step-by-Step Guide
In our latest tutorial, we cover what NemoClaw is, how it works as NVIDIA's open-source security stack for OpenClaw, and walk you through the full deployment process on Hyperstack GPUs including setup, configuration and verification steps.
Securing OpenClaw on Hyperstack: Safe AI Agent Deployment:
A Comprehensive Guide
In our latest tutorial, we cover how to securely deploy OpenClaw AI agents on Hyperstack, including network isolation, access controls, environment hardening and safety configurations to ensure your agentic workloads run reliably and safely on cloud GPUs.
Why Move Your AI Workloads from Public Cloud to Private Cloud:
5 Important Signs
In our latest blog, we walk through five concrete signs that public cloud is holding your AI operations back, including unpredictable billing, data sovereignty risks, limited GPU availability, compliance challenges and performance ceilings that private cloud can help you overcome.
Manage Cloud Infrastructure with Open WebUI:
Using the Hyperstack MCP Server
In our latest tutorial, we show you how to connect the Hyperstack MCP Server to Open WebUI, allowing you to provision VMs, manage GPU resources and control your cloud infrastructure through natural language conversations with AI assistants like Claude Desktop.
NVIDIA GTC 2026: Conversations on Secure AI Infrastructure
Our team attended the NVIDIA GTC 2026 in March and the conversations we had there reflected something a lot of teams are thinking about right now: how to build infrastructure for production AI the right way.
We had discussions around our Secure Private Cloud and why isolation, compliance and control need to be built in from day one rather than added on later. If you're deploying AI that needs dedicated infrastructure with full visibility and governance, book a meeting with the Hyperstack team:
Your Ideas Power Hyperstack
You know your workflow better than anyone. If there’s anything you wish Hyperstack did differently or better, now’s your chance to tell us.
Maybe it’s a feature you’ve been thinking about, a tool that could speed up your workflow, or a simple improvement that would make your project easier. Whatever it is, we’re listening.
For any questions or suggestions, feel free to reach out at support@hyperstack.cloud. Stay tuned for even more updates and exciting tools next month.
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