Your all-in-one Gen AI platform is officially live. AI Studio is everything you need to build and deploy open-source LLMs without spinning up VMs or writing infrastructure code. Just bring your dataset and you’re good to go. To get started with AI Studio, check out our documentation for a quick start.
You can now hibernate, take snapshots and boot from volume on all on-demand VMs in our Norway1 region. Plus, volume storage is now available across all VM types in Norway1.
Upgrade to the ideal GPU VM on Hyperstack, choose from high-performance NVIDIA A100 NVLink and NVIDIA H100 SXM for intensive training or opt for the NVIDIA RTX A6000 for prototyping and small-scale inference.
Explore GPUs and Run Your Workload →
Unsure which GPU fits your workflow best? Think about model size, memory requirements, and runtime. Need help? Check out our latest benchmark below:
Be ready to accelerate your demanding workload with the high-performance NVIDIA A100 SXM GPU VMs on Hyperstack. Stay tuned, NVIDIA A100 SXM pricing drops next week.
Check out our latest blog on Hyperstack:
You’ve probably seen this before: an app adds a ChatGPT integration, a SaaS tool adds an “AI-enhanced” label to an existing feature or an agency pitches “AI insights” to clients without any backend visibility. These may impress investors in the short term but they rarely drive long-term monetisable value. In our latest blog, we break down how to monetise Gen AI in 2025, from building AI-powered products and services to reselling fine-tuning and evaluation.
Gen AI has moved beyond hype. For mid-market AI teams, the pressure is real: deliver value fast or risk being left behind. These teams are not experimenting with generative AI for fun. They’re building, deploying and monetising real-world applications, which is driven by one priority: return on investment (ROI). In our latest blog, we’ll explore how mid-market AI teams are actually using Gen AI today to drive measurable ROI.
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