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]

We're heading to #RAISE2026 in Paris.

Enterprise AI is shifting from experimentation to execution. @Hyperstack is the full-stack AI cloud helping organisations move from PoC to production on NVIDIA Blackwell & Blackwell Ultra GPUs.

Find us at Booth 14A, 8–9 July. Book a meeting 👇
https://t.co/jUupYJWhvk

#Hyperstack #EnterpriseAI #NVIDIA

[Hyperstack @Hyperstackcloud]

We're attending The AI Summit London, 10–11 June, Tobacco Dock.

If you're working in AI, you already know the gap between ambition and infrastructure is growing. Workloads are scaling faster than planned and access to compute at the right cost is becoming one of the defining questions right now.

If you're attending and want to talk about how we can support with compute, come find us.

#TheAISummit #Hyperstack

[Hyperstack @Hyperstackcloud]

World's first open-source 100B medical LLM just dropped.

AntAngelMed: #1 on OpenAI HealthBench. Here's how to run it on 8× NVIDIA H100s in 5 commands.

Full tutorial: https://t.co/hEs9liGO8u

#MedicalAI #Hyperstack

[Hyperstack @Hyperstackcloud]

ISC is where the teams running the world's most demanding workloads show up.

And that’s where we fit in.

Secure Private Cloud and Managed Clusters powered by NVIDIA GPUs provide the backbone for workloads that can't compromise.

Genomics. Drug discovery. Climate modelling. Energy simulation. Large-scale AI training. If that's you, catch us at Booth A39, 22nd–26th June.

Book a meeting now: https://t.co/dkeG4yVi5y
#Hyperstack #ISC26

[Hyperstack @Hyperstackcloud]

Shared infrastructure works. Until InfoSec asks:
“Can you prove no one else touches this?”

One answer closes the deal. The other delays (or worse, derails) it.

See how a single-tenant Secure Private Cloud gets you the right answer: https://t.co/F1IC5Gs1RK

[Hyperstack @Hyperstackcloud]

Our Head of Partnerships, Ashley Williams, is heading to the Qwen Conference in Singapore this Monday.

If you're attending and want to talk AI infrastructure, token economics or building out your AI stack, get in touch.

#QwenConference2026

[Hyperstack @Hyperstackcloud]

@Alibaba_Qwen @arena Come try out Qwen3.7 on Hyperstack today!

[Hyperstack @Hyperstackcloud]

Hamburg is about to get a lot more accelerated.

Catch Hyperstack at ISC High Performance 2026 — Booth A39 | 22–26 June.

Blackwell-powered infrastructure for HPC, genomics, AI training and production inference — from single-tenant SPC to managed Kubernetes & Slurm clusters.

Book a meeting: https://t.co/Zri0QR4HqG

#Hyperstack #ISC26 #ISCHPC

[Hyperstack @Hyperstackcloud]

@Kimi_Moonshot Come try out Kimi K2.6 on Hyperstack with access to all the latest GPU's for a fraction of the price Hyperscalers are offering

[Hyperstack @Hyperstackcloud]

@ElijahTzanevv Three rooms. One day. The AI infrastructure story just got a lot more complicated.

What does the H200 clearance actually change for teams building right now?

[Hyperstack @Hyperstackcloud]

@Dr_Singularity This is clear in the market right now, come grab your GPU's from Hyperstack while you still can

[Hyperstack @Hyperstackcloud]

295 billion parameters. 21B active per token. 600 GB BF16 checkpoint, too large for a single node.

We deployed Hy3-preview on Hyperstack using multi-node Kubernetes with 16 NVIDIA H100s across two worker nodes, hybrid Tensor + Expert Parallelism and a 600 GB BF16 checkpoint loaded from local NVMe.

In this tutorial:

→ Multi-node Kubernetes cluster on Hyperstack (two 8x H100-80G PCIe-NVLink)
→ LeaderWorkerSet API for coordinated 2-node inference
→ vLLM with native multi-node tensor parallelism and MTP speculative decoding
→ 256K token context window with three reasoning tiers (no_think / low / high)
→ Multi-agent code review pipeline with parallel specialist agents and tool calling
→ Plugging into Claude Code, OpenClaw, and OpenCode as a local backend

80.6 on SWE-Bench Verified. 34.86 on LiveCodeBench v6.

Full tutorial on the blog: Deploy Hy3-preview on Hyperstack: A Multi-Node Kubernetes Guide

#Hyperstack #Hy3preview

[Hyperstack @Hyperstackcloud]

One model. Video, audio, images, and documents - from a single endpoint.

We deployed NVIDIA Nemotron 3 Nano Omni on Hyperstack and put its multimodal pipeline to work.

In this tutorial:
→ vLLM serving on a single NVIDIA H100 80GB (62 GB BF16 checkpoint)
→ 256K token context window with native reasoning mode
→ PDF extraction - structured JSON from complex financial documents
→ Hour-long audio transcription with word-level timestamps and action-item extraction
→ Video summarisation and temporal Q&A from a single prompt
→ Disabling thinking mode for latency-sensitive tasks

67.04 on OCRBenchV2. 89.39 on VoiceBench. 72.2 on Video-MME. One deployment.

Full tutorial on the blog: https://t.co/dSO6aLkCwL

#Nemotron #MultimodalAI

[Hyperstack @Hyperstackcloud]

1.6 trillion parameters. 49B active per token. Too large for a single node.

We deployed DeepSeek-V4-Pro on Hyperstack using multi-node Kubernetes - 16 NVIDIA H100s across two worker nodes, hybrid Data + Expert Parallelism, and a 960 GB FP4+FP8 checkpoint loaded from local NVMe.

In this tutorial:
→ Multi-node Kubernetes cluster on Hyperstack (2x 8x NVIDIA H100-80G PCIe-NVLink)
→ LeaderWorkerSet API for coordinated 2-node inference
→ vLLM with hybrid DEP topology and MTP speculative decoding
→ 1M token context window with three reasoning tiers
→ Long-horizon autonomous code refactoring with self-correction
→ Plugging into Claude Code, OpenClaw, and OpenCode as a local backend

80.6 on SWE-Bench Verified. 93.5 on LiveCodeBench v6.

Full tutorial on the blog: https://t.co/JEb0QH850n

#DeepSeek #AgenticAI

[Hyperstack @Hyperstackcloud]

Running Kubernetes or SLURM in-house is a full-time job.

Hyperstack Managed Cluster Platform hands you a fully managed cluster environment - delivered at the orchestrator layer, so your team focuses on models, not maintenance.

GPU infrastructure. Fully managed. Ready to scale.

Enquire now 👉 https://t.co/ccGiCr3lAm

#ManagedKubernetes #SLURM