Hyperstack

The Full Stack AI Cloud. Secure Private Cloud, on-demand NVIDIA VMs, and AI Studio - built for teams that don't compromise.

[Hyperstack @Hyperstackcloud]

Today, Hyperstack EU1 (Sweden) comes online with NVIDIA RTX PRO™ 6000 Blackwell Server Edition capacity available on demand and via reservation.

EU1 expands Hyperstack’s European footprint with infrastructure optimised for high-end visualisation, GPU virtualisation, and large-scale inference workloads.

EU1 has been designed with future private deployments in mind. The region is designed with the power, cooling, and data centre capacity required for next‑generation NVIDIA platforms, with reserved space to scale NVIDIA B300 deployments as Hyperstack Secure Private Cloud comes online.

More details on Secure Private Cloud will follow.

EU1 (Sweden) Now Live.

👉 Enquire about EU1 capacity and early Secure Private Cloud discussions: https://t.co/mYqO1sCh5r

[Hyperstack @Hyperstackcloud]

The hard part of running inference shouldn’t be figuring out where to run it.

That’s why we’re changing how inference works in AI Studio.

With Dedicated Inference, you can now take a model from Hugging Face and deploy it on dedicated GPU resources through Hyperstack.

And the new Deploy AI Wizard handles the infrastructure decision with you. Tell it what you want to run and what your workload looks like. It recommends a GPU configuration, gives you an estimated cost and gets you to deployment.

So, you don’t need to worry about:

-Figuring out which GPU configuration you need
-Comparing infrastructure options for your workload
-Manually working out what it’ll cost
And with support for vLLM-compatible Hugging Face models and a growing model catalogue, there’s more to deploy.

Try Dedicated Inference in AI Studio today:
https://t.co/6bolMNmdL5

[Hyperstack @Hyperstackcloud]

Olly Brooks takes the stage at AI Infra Summit 2026.

17 September, 10:45 AM, Santa Clara Convention Center.

He's breaking down what sovereign AI actually requires: open weights vs. fully open models, the four layers of a sovereign deployment and when it makes sense to own GPU capacity vs. rent it.

Then Booth 721. Book a meeting or walk over.

https://t.co/HhFOn9T1TG

[Hyperstack @Hyperstackcloud]

See you at AI Infra Summit next week.

Hyperstack, Booth 721, Santa Clara, 15-17 September. AI infrastructure and AI inference.

Book a meeting or find us on the floor.

https://t.co/V1z1icKrKi

See you in Santa Clara!

#AIInfra #Inference

[Hyperstack @Hyperstackcloud]

Hyperstack and OCF are partnering to bring on-demand NVIDIA GPU cloud to UK HPC and AI teams. The pairing brings together OCF's two decades of HPC and AI engineering expertise with elastic GPU capacity from our Hyperstack platform.

For research, life sciences, and engineering organisations, that means scalable GPU compute without the capital cost of expanding on-premise systems: burst demanding AI training, inference, and simulation workloads to the cloud when on-premise resources are stretched, then scale back down once the work is done.

As teams move from traditional simulation into large-scale AI, demand for GPU compute keeps rising. This partnership is built to close that gap.

[Hyperstack @Hyperstackcloud]

JUST 1 WEEK TO GO. WHO REALLY CONTROLS YOUR AI?

AI security and control are too important to leave on the sidelines.

Next week, our CPTO, Cory Hawkwelt, and UKAI’s CEO, Tim Flagg, will sit down to talk about what it really takes to build an AI stack you can control, from understanding your dependencies to asking the right questions about security and continuity.

📅 11 September | 2–3 PM BST

Register: https://t.co/5aRsdDqSU5

[Hyperstack @Hyperstackcloud]

Meet Hyperstack at AI Infra Summit 2026.

Booth 721, Santa Clara, 15-17 September. AI infrastructure and AI inference with the team on the floor.

Book a meeting or walk to Booth 721.

https://t.co/0IHPStaTpC

[Hyperstack @Hyperstackcloud]

We’re delighted to announce a new partnership between Hyperstack and Daemon.

Daemon is an award-winning technology consultancy and AI-Augmented engineering partner. Hyperstack is the GPU cloud built for AI, delivering on-demand access to NVIDIA GPUs for training, fine-tuning and inference at scale.

Enterprises have no shortage of AI ambition. What they need is the expertise to build the right solutions, the experience to move them safely into production and the infrastructure to run them at scale.

Daemon brings AI-Augmented engineering squads, delivery excellence and technology strategy. Hyperstack brings the AI-native GPU cloud to power those solutions — from experimentation through to production at scale.

Together, we will help organisations:

Move AI projects from idea to production faster
Access high-performance NVIDIA GPU compute on demand

Scale AI workloads with confidence, with infrastructure economics designed for production AI

This partnership brings together the expertise to build enterprise AI solutions with the infrastructure to run them at scale.

Thanks to the teams at Daemon for a partnership we’re genuinely excited about. More to come.

#EnterpriseAI #GPUCloud #Hyperstack #Daemon #AIInfrastructure #AIFirst

[Hyperstack @Hyperstackcloud]

Watch a GPU go from zero to running in under 60 seconds.

Join us in London on 10 September for a meetup hosted with Encode Club.

Our Technical Account Manager, Olly Brooks, will demo deploying GPUs and fine-tuning open-source models with zero vendor lock-in.

Register now to secure your spot.

P.S. Stick around after for drinks, pizza and conversations with fellow AI builders and the Hyperstack team.

https://t.co/5dGmCktw0Z

[Hyperstack @Hyperstackcloud]

Hyperstack is heading to Santa Clara.

AI Infra Summit 2026, 15-17 September, Booth 721.

AI inference on dedicated NVIDIA Blackwell and NVIDIA Blackwell Ultra Clusters. Hyperstack On-Demand, including AI Studio, if you want to start now.

Book a meeting or find us at Booth 721.
https://t.co/MwBWTFEBfq

[Hyperstack @Hyperstackcloud]

Hyperstack is heading to Santa Clara.

AI Infra Summit 2026, 15-17 September, Booth 721.

AI inference on dedicated NVIDIA Blackwell and NVIDIA Blackwell Ultra Clusters. Hyperstack On-Demand, including AI Studio, if you want to start now.

Book a meeting or find us at Booth 721.
https://t.co/MwBWTFEBfq

[Hyperstack @Hyperstackcloud]

Qwen3.8 Max: 2.4T parameters, 95B active per token and a 262K-token context that stretches past a million.

It reasons on every single request.

We deployed it across 64 NVIDIA H100 GPUs on Hyperstack and brought up a live endpoint in under 6 minutes, with zero failed requests throughout the full concurrency sweep.

Full step-by-step tutorial on our blog:

https://t.co/5lE1P5yDDr

[Hyperstack @Hyperstackcloud]

In our upcoming webinar next month, our CPTO Cory Hawkvelt and Tim Flagg (CEO, UKAI) unpack what it takes to build a sovereign tech stack.

On the agenda:

→ What being secure really means beyond geography, not just where your GPUs sit
→ A layer-by-layer way to assess infrastructure, operations, models and data
→ The right questions to ask any provider, beyond "are you sovereign"
→ Concrete next steps you can act on straight after

11 September | 1 PM BST

Join us: https://t.co/5aRsdDqSU5

[Hyperstack @Hyperstackcloud]

05/05

[Hyperstack @Hyperstackcloud]

Hyperstack July Release Highlights

Catch up on everything we shipped, including the Docs MCP Server, Kimi K3 as a third-party model in AI Studio, multimodal AI Studio features and platform reliability improvements.

Read the full update: https://t.co/GlDeitZKGz

#Hyperstack #AIstudio

01/05

[Hyperstack @Hyperstackcloud]

04/05

[Hyperstack @Hyperstackcloud]

Our CPTO Cory Hawkvelt took the stage at Raise Summit 2026 to talk sovereignty alongside other leaders in AI.

The conversation around AI is moving beyond model performance - it’s now about control, resilience, data sovereignty, and the infrastructure underneath it all.

At Hyperstack, we’re seeing firsthand that the teams who get this right are the ones treating compute, storage, and policy as part of the same strategy. Cory’s session was a timely reminder that sovereign AI isn’t a future concept, it’s already becoming a core requirement.

Watch the full talk on Raise's Youtube:

https://t.co/SREW85ECIe

[Hyperstack @Hyperstackcloud]

The Kimi K3 open weights dropped on 27 July.

Now you can serve the 2.8T-parameter MoE model on Hyperstack with NVIDIA H100 GPUs.

104B active parameters/token

1M-token context window

Native vision

Step-by-step multi-node deployment with vLLM

Read the tutorial and get started.

https://t.co/WCizcOgifG