Starting this week, we're launching a weekly rundown of Hyperstack, where we'll share all the latest updates, informative content and resources to help you get the most out of our platform. So, let's get started!
Good news! Our GPU selector tool is now live and ready to help you find the ideal GPU for your LLM needs. Whether you're fine-tuning models or running inference, our easy-to-use tool simplifies the process of choosing the right GPU for your project. Try our GPU Selector for LLMs now!
Users can now manage their email notifications for low credit balance warnings. To learn more, check out our documentation here. This is a great way to stay on top of your usage and avoid any unexpected charges.
The appearance of Hyperstack emails has been updated for consistency. This will make it easier for you to identify our emails in your inbox and ensure you don't miss any important updates or notifications.
Check out our latest blogs and guides to stay updated with AI news!
This article discusses how Hyperstack's On-Demand Kubernetes simplifies deployment, optimises performance and enhances cost efficiency. Learn about our streamlined setup and autoscaling features tailored for AI workloads. For more details, check out the full blog here!
Our latest article provides a detailed stepwise guide for deploying the FLUX.1 model on Hyperstack, including setup options for both the 'schnell' and 'dev' variants. This guide covers everything from initial deployment to accessing and interacting with the model. For more details, check out the full blog here!
Our latest guide offers a comprehensive walkthrough for efficiently deploying Meta's latest Llama 3.1-70B model on Hyperstack. It covers everything from accessing Hyperstack to troubleshooting common issues, so you can maximise the potential of this powerful model with ease. For more details, check out the full blog here!
Read our latest testimonial on what our customers have to say about their experiences with Hyperstack and discover why they’re thrilled with our service!
That's all for this week's rundown. We are committed to continuously improving our products and services to provide you with the best possible experience. Until next time!