TABLE OF CONTENTS
NVIDIA H100 SXM On-Demand
Welcome to Hyperstack Monthly Update
We've been busy this month. Some updates you'll notice immediately, while others are quietly making your experience faster and more reliable. Either way, they're all worth knowing about. Here's what we've been working on.
Important Pricing Update
Hyperstack GPU VM pricing changed effective July 1, 2026, across several GPU VMs, including NVIDIA H100 and NVIDIA B200 VMs. Find the full pricing update here→
New on Hyperstack AI Studio
Check out what's new on AI Studio this month:
Image Playground is Live
Generate, edit and evaluate image models without leaving AI Studio.
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Prompt in, image out: Generate an image from text or upload a reference image and edit it with a prompt. Both live in the same playground. Learn more.
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Compare before you commit: Browse the full vision model catalog and run models side by side before you decide which one ships.
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Copy the exact request: Toggle to API view any time and get the matching cURL command for what's on your screen.
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Know the cost upfront: Image generation bills per 16×16 patch, and it's broken out in its own usage report under Billing.
Explore Image Playground →
Latest Improvements
Here's what shipped this month across Kubernetes and platform reliability:
- Kubernetes cluster snapshots: Snapshots are no longer supported for virtual machines in Kubernetes clusters. The Snapshot option is disabled in the console, and related API calls return an error.
- Kubernetes master node cost display: Master nodes no longer show a transient running cost; they are not billed.
- Supported Kubernetes versions: Kubernetes 1.36.1 is now available for new clusters. Version 1.32.8 is end-of-life and deprecated for new deployments but existing 1.32.8 clusters continue to support node and node group changes.
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Kubernetes cluster resilience: Transient SSH failures during cluster creation or reconciliation no longer cause operations to fail. The platform now retries automatically, so intermittent connectivity issues no longer interrupt cluster bring-up.
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Kubernetes cluster registry: Helm charts and container images used during cluster deployment and operations are now sourced from a Hyperstack-managed private registry, reducing external dependency risk and improving consistency across deployments.
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Organisation member removal validation: The Remove Organisation Member API now validates that the specified member is not an organisation owner before processing the request, preventing accidental removal of owner-level accounts.
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Snapshot-aware VM deletion: Attempting to delete a virtual machine while a snapshot is in progress is now rejected.
- Faster virtual machine API responses: Reduced response times on List and Retrieve virtual machine endpoints and eliminated timeouts for accounts that frequently query large VM inventories.
New on our Blog
Check out the latest tutorials and blogs on Hyperstack:
How to Use GLM-5.2:
On Hyperstack AI Studio
Hyperstack AI Studio now supports GLM-5.2, the latest open-weight reasoning and coding model from Z.ai (formerly Zhipu AI) with a one million token context window. You can access it through the existing serverless API or the point-and-click Playground—no GPU provisioning, downloads, or server management required. The Playground is ideal for quick trials, while the API is designed for integrating GLM-5.2 into products, coding assistants, and automated pipelines. Our latest tutorial covers both, with a primary focus on the API using live endpoint examples and real responses.
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Generate and Edit Stunning AI Images:
On Hyperstack AI Studio
AI Studio now generates images. Alongside its language models, the platform serves a growing line-up of text-to-image and image-to-image models, including FLUX.1, FLUX.2, Qwen-Image, Stable Diffusion 3.5 and more, behind a single serverless API and a point-and-click Playground. There are two ways to use it. The Playground is the fastest way to experiment by hand, and the API is how you put image generation into a product or an automated pipeline. Our latest tutorial covers both.
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GLM-5.2 vs Claude Fable 5:
An Open-Weight Frontier Model Meets a Closed One
The sudden suspension of Claude Fable 5 highlighted a reality many AI teams overlook: access to a powerful model can disappear overnight. At the same time, GLM-5.2 has emerged as one of the strongest open-weight alternatives, combining competitive performance with the freedom to self-host. In this blog, we compare their capabilities, benchmarks, pricing, hardware requirements and deployment trade-offs.
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Help Shape the Future of Hyperstack
Great products are built with the people who use them. If there’s something you would like to see on Hyperstack, whether it is a new feature, workflow improvement or integration that would make your work easier, we would love to hear about it.
Your feedback helps us prioritise what matters most and build a platform that works better for the community.
That's it for this Monthly Update! Stay tuned for more updates and subscribe to our newsletter below for exclusive AI and GPU insights delivered to your inbox!
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