Research Scale
2000+
Compute cores across collaborative deployments
Case Study
Platform for Modern Research Institutes
Artificial intelligence, large-scale data analysis, and advanced simulation are transforming scientific research. stack8s helps research institutes modernize infrastructure for the AI era with sovereign, cloud-native compute orchestration.
Data Capacity
50TB+
RAM and high-throughput storage pools
GPU Expansion
15+
UK cloud GPU providers available for burst scaling
The Challenges Facing Research Institutes
Limited Access to GPU Resources
Researchers face long wait times on shared clusters, which slows experimentation cycles and delays publication timelines.
Legacy HPC Workflows
Manual setup, scripts, and queue-centric operations are effective for classic HPC jobs but often friction-heavy for modern AI workflows.
Fragmented Research Tooling
Departments run disconnected environments that make cross-team collaboration harder and increase duplicated operational effort.
Data Sovereignty and Compliance
Healthcare, genomics, and sensitive research data often require strict locality and controlled execution environments.
Rising Infrastructure Costs
Sustained GPU workloads can become expensive in hyperscale cloud-only models, especially for training and large data pipelines.
A New Approach to Research Infrastructure
stack8s combines the flexibility of cloud-native architecture with sovereign control. Built on Kubernetes and open-source AI tooling, the platform gives researchers a unified environment to launch experiments, train models, run data pipelines, and collaborate across teams.
Why Use stack8s
stack8s is shaped by extensive interviews with researchers, academics, and research IT teams operating in production environments. The founding team includes PhD-trained researchers from leading universities, which brings deep understanding of the practical realities across scientific workflows, infrastructure operations, and institutional governance.
Public vs Private Sector Reality
Public research organisations often operate under strict procurement, compliance, and sovereignty constraints, while private-sector teams optimize for speed and elasticity. stack8s provides a control plane that bridges both: sovereign governance with modern AI/GPU operating models.
Research Environment Map
Environment / Cluster
Multi-Tenant Projects
Tooling Components
Project A
stack 1
stack 2
Components
Project B
stack 1
stack 2
Components
Project C
stack 1
stack 2
Components
Key Capabilities of the stack8s Platform
Platform Capabilities
Keep sensitive research data within institutional or regional boundaries at all times.
Run AI workloads across trusted sovereign infrastructure providers without compromising on performance or compliance.
HPC and AI Together: SLURM + Cloud-Native
stack8s combines established HPC operations with modern AI platform patterns. Teams can preserve SLURM capabilities while introducing Kubernetes-native tooling for notebooks, MLOps, distributed inference, and data pipelines. This gives researchers state-of-the-art AI workflows without abandoning proven HPC execution models.
Deep Dives on the Blog
We publish extensive comparisons between SLURM, HPE tooling, and cloud-native alternatives, and explain how stack8s complements each of them. Read the full analyses on the blog.
Integrated AI and Data Ecosystem
stack8s supports the open-source ecosystem already used by modern research groups, enabling faster adoption without forcing major workflow changes.
Platform / AIK Architect
Right-Size GPU for Every Research Workload
One of the most common questions researchers face when moving to GPU-accelerated workflows is: which GPU do I actually need? AIK Architect is a built-in solution architect copilot that guides researchers through their use case, captures workload constraints (model size, dataset scale, latency targets, budget), and recommends the right GPU type and size with clear performance and cost trade-offs.
Use Case Intake
Captures workload goals, model architecture, dataset size, and compliance context to define the right compute path.
Preference Mapping
Applies researcher priorities for latency, cost, data locality, and team familiarity with specific frameworks.
Tooling Guidance
Recommends best-fit models, vector databases, orchestration layers, and platform tooling for the research workflow.
GPU Compute Recommendations
Presents deployment-ready compute options (A100, H100, B200, and more) with memory, throughput, and budget comparisons.
stack8s Platform Screenshots
A view of how researchers and research IT teams operate day-to-day inside stack8s across compute, marketplace, project resources, and notebook workflows.
Accelerating Scientific Discovery
Faster experimentation
Launch AI environments and compute resources in minutes rather than waiting on manual provisioning cycles.
Improved collaboration
Give teams shared platform standards while preserving project-level isolation and governance.
Efficient GPU usage
Share and orchestrate GPU resources across clusters and providers to improve utilization.
Future-ready platform
Cloud-native architecture keeps research environments compatible with modern AI and data tooling.
Example Research Applications
Medical Imaging and Healthcare AI
Train models on MRI, pathology, and clinical datasets in secure and compliant research environments.
Genomics and Bioinformatics
Run distributed analysis pipelines over large genomic datasets with reproducible environments.
Climate and Environmental Modelling
Process high-volume data for simulation, forecasting, and long-range environmental analysis.
Private Large Language Models
Run private LLMs for internal knowledge systems and scientific collaboration without public API exposure.
Used and Trusted By
Top Tier Research Institute in UK
Sovereign platform running on-premise with over 50 researchers across 4 institutes collaborating in real time.
2,000
Cores
50 TB
RAM
800 TB
Storage
700K
NVIDIA CUDA Cores
15+
UK Cloud GPU Providers
“stack8s provided an enclaved environment for researchers to collaborate unlike any cloud platform available.”
Supporting Research Institutes Worldwide
stack8s supports environments with large compute pools, high-throughput storage, and GPU infrastructure designed for collaborative and regulated research programs. Institutions can collaborate in real time while maintaining strict security and compliance standards.
As AI continues to reshape discovery, research leaders need infrastructure that scales securely and remains under institutional control. stack8s provides that foundation.