Hyperstack Weekly Rundown 27: Latest Edition

Be the First to Join our Gen AI Platform

Next week, we’re kicking off the search for beta testers and you’re going to love it.

Be among the first to try our upcoming Gen AI platform built to make fine-tuning, evaluating, and deploying Gen AI models faster and easier than ever.

Spots are limited and we want YOU to be part of it. Keep an eye on your inbox- applications open next week!

Kubernetes is Coming to Hyperstack Console

The wait is almost over. Soon, you'll be able to deploy on-demand Kubernetes clusters directly from the Hyperstack Console. With just a few clicks, you can launch high-performance clusters for your AI, ML and cloud-native workloads. You’ll also have the ability to easily add or remove worker nodes through the Hyperstack UI.

• Built-in GPU support? Check.
• High-speed networking? Check.
• Intuitive UI? Absolutely.

To help you get started, we will also drop a full tutorial next week, stay tuned!

Upcoming Spot VMs

What if you could save more on your GPU workload?

Spoiler: You can. Spot VMs are almost here.

We’re introducing Spot VMs soon, a new way to save big on compute by tapping into spare GPU capacity at a much lower cost. Ideal for non-critical or flexible workloads like batch jobs, model training or testing, Spot VMs give you powerful performance without the premium price tag.

Full details coming in next week’s rundown. Stay tuned as your budget will thank you.

New in Our Blog

Check out our latest tutorials on Hyperstack:

Deploying and Using DeepCoder-14B-Preview on Hyperstack:

A Quick Start Guide

In our latest tutorial, we explore deploying and using DeepCoder-14B-Preview on Hyperstack. ​DeepCoder-14B-Preview is a 14-billion-parameter large language model (LLM) developed by the Agentica team and Together AI for advanced code reasoning tasks. Fine-tuned from DeepSeek-R1-Distilled-Qwen-14B using distributed reinforcement learning (RL), it excels at handling long-context code generation. The model achieves a 60.6% Pass@1 accuracy on LiveCodeBench v5, outperforming its base model and matching the performance of OpenAI's o3-mini, despite having fewer parameters. Check out the full tutorial here.

Deploying and Using Meta Llama 4 Maverick on Hyperstack:

A Quick Start Guide

In our latest tutorial, we explore deploying and using Llama 4 Maverick on Hyperstack. ​Llama 4 Maverick is a 17B active and 400B total parameters AI model developed by Meta as part of its Llama 4 series. It is a natively multimodal system capable of processing and integrating various data types, including text, images, video, and audio. From setting up your environment to running multimodal tasks, we guide you through each step to help you get started with Meta’s most advanced open-weight model. Check out the full tutorial here.

Stay Updated with Real-Time Service Alerts

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Visit status.hyperstack.cloud and click "Subscribe to Updates" in the top right corner. Enter your email to stay informed with real-time notifications.

Share Your Story with Hyperstack

We’d love to hear about your Hyperstack experience. Share how you’re using Hyperstack to drive your projects and you might get featured in our upcoming weekly newsletter.

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:

👉 Hyperstack Weekly Rundown #25

👉 Hyperstack Weekly Rundown #26