TABLE OF CONTENTS
NVIDIA H100 SXM On-Demand
We’re back with your weekly dose of Hyperstack updates!
Grab your coffee and stretch out that scroll finger, here’s what’s new this week. From new OS Images to exciting tutorials on building deep-thinking multi-agent system and blogs, there’s plenty to explore.
Let’s jump in!
What's New on Hyperstack
Here's what's new on Hyperstack this week:
New OS Images Now Live
You can now launch new VMs using AlmaLinux and Debian OS images on Hyperstack. These additions give you more flexibility and control over your development environment, whether you prefer AlmaLinux for enterprise stability or Debian for lightweight, open-source performance.
Deploy Your Preferred OS Instantly on Hyperstack and Start Building Faster.
New on our Blog
Check out our latest blog on Hyperstack:
How AI Studio Helps You Produce Quality Data:
A Step-by-Step Guide
Did you know that 80% of AI project time is spent on data preparation, not on training or fine-tuning models? If you’ve worked on LLMs, you’ve likely felt this yourself. Hours (or days) are spent cleaning logs, filtering out noise, removing sensitive details and attempting to expand datasets. This is actually long before you get to the exciting part of running experiments. And since your model’s performance depends directly on the quality of your data, this step cannot be overlooked. In our latest blog, we’ll show you how AI Studio helps you produce quality data with ease.
Check out the full tutorial below!
Types of Storage for AI Workloads:
What You Need to Know
AI storage refers to the infrastructure designed to handle the massive amounts of data generated, processed and stored during AI workflows. AI workloads are not like typical business applications. They require continuous data pipelines, rapid read/write cycles and the ability to support different workloads. In our blog, we explore why AI storage is different from traditional storage and the challenges that come with managing massive datasets.
Check out the full blog below!
Building a Deep Thinking Multi-Agent System Using Hyperstack AI Studio:
A Comprehensive Guide
Creating a product roadmap means making tough choices—balancing new feature opportunities with the need to improve stability for current users. Teams must weigh customer input, market trends and technical limitations to avoid costly missteps. In this blog, we explore these challenges and show how a multi-agent system can streamline real-world product planning.
Check out the full blog below!
Have an idea you'd like to see in Hyperstack? Let’s bring it to life.
At Hyperstack, we’re committed to continuous improvement and your ideas are a key driver of our innovation.
→ Is there a feature you’ve been waiting for?
→ Something that could speed up your workday?
→ Or a tweak that would make things feel effortless?
Tell us what would make your Hyperstack experience even better. Your feedback sets the direction for what we build next.
That's it for this week's Hyperstack Rundown! Stay tuned for more updates next week and subscribe to our newsletter below for exclusive AI and GPU insights delivered to your inbox!
Missed the Previous Editions?
Catch up on everything you need to know from Hyperstack Weekly below:
Subscribe to Hyperstack!
Enter your email to get updates to your inbox every week
