Hyperstack Weekly Rundown 38: Latest Edition

We’re Now SOC 2 Type 1 Certified

Big news: NexGen Cloud is officially SOC 2 Type 1 certified!

This milestone reinforces our commitment to keeping your data secure and your workloads protected, every step of the way.  Our entire platform has been audited and verified by a licensed CPA firm to meet rigorous security standards.

What this means for you:

• Independent validation of how we protect your data

• Enterprise-grade safeguards are built into the platform

• Peace of mind knowing your environment is built on trust

And we’re not stopping here. SOC 2 Type 2 is already underway. 

New Supported Images on Hyperstack

You can now launch workloads on Hyperstack using the latest Ubuntu-based images: 

• Server 22.04 LTS R570 CUDA 12.8 with Docker
• Server 22.04 LTS R570 CUDA 12.8

• Server 24.04 LTS R570 CUDA 12.8

• Server 24.04 LTS R570 CUDA 12.8 with Docker

These images come with up-to-date CUDA and driver support, making it easier to get started with your AI/ML workloads.

Launch Now

Reserve GPU Capacity in Advance

For teams running extensive projects or planning lengthy training cycles, predictable performance is a must. Reserve capacity on Hyperstack including NVIDIA H100s to secure the infrastructure your workloads demand.

Reserving capacity means you can:

• Sidestep market interruptions

• Slash deployment delays

• Secure consistent, peak performance

Empower your team with a dedicated GPU allocation before demand surges. Talk to our team to reserve NVIDIA H100 GPUs today.

Talk to Our Team

Latest Fixes and Improvements

Here are the latest fixes and improvements on Hyperstack:

• Billing Forms Validation: We improved field validation to ensure accurate and standardised billing information.

• Firewall Rules Bug Fix: We resolved an issue that prevented firewall rules from being created during VM deployment.

• Platform Stability: Performance improvements and reliability enhancements across the platform were made to make your experience smoother.

Check out our latest blog on Hyperstack:

NVLink vs PCIe for AI Workloads:

What's the Difference

In AI workloads like training large language models or running high-throughput inference, the speed of data movement between GPUs matters. This is where your interconnect choice matters. And depending on your setup, it could be the difference between smooth scaling or wasted GPU capacity. The type of GPU interconnect (PCIe or NVLink) you choose can make or break your performance. So, how do you decide between the two? Check out our latest blog to understand the difference.

Spot vs On-Demand VMs:

What's the Difference

Your GPU workload is ready. But are you about to overspend for performance you don’t need or risk everything to save a few bucks? If you’ve found yourself stuck choosing between spot and on-demand GPU VMs, stay here. Understanding the difference between these two can help you stretch your budget without compromising on performance or reliability. No matter if you’re training large AI models, running batch jobs or scaling up for a product launch, this blog will help you decide which VM type is right for your use case.

Big Ideas Deserve the Right Platform

At Hyperstack, we’re here to support builders, creators and innovators who are pushing AI forward, from early prototypes to production-ready deployments.

Got something exciting in the works? We’d love to hear about it. Stand a chance to be featured in our next Weekly Rundown. Share your story here.