A familiar place to work
Access Windows or Linux desktops through the browser, with the agreed software, data and permissions ready for your team.
Research and Engineering Studio on AWS
Your RES environment.In expert hands.
Give researchers and engineers a simpler way to work in the cloud. The Server Labs deploys, integrates and supports RES, connecting your people, applications and data to the compute they need.
From your first workspace to a supported production environment.
Your team's workspaceOn AWS
RES.
Research & Engineering Studio
ApplicationsVirtual desktopsShared data
When your workload needs HPC
UltraCompute + AWS PCSSlurm scheduling · Elastic compute · CPU / GPU
TSL deployment, integration & ongoing support
Discuss your RES environment
Tell us a little about your requirements and we’ll arrange an initial conversation.
A member of our team will be in touch to arrange a call.
Deploy in your AWS environmentConnect to applications, data & HPCSupport your team as it grows
Make RES work for your team
More time for the work
that matters.
RES is an open-source portal for accessing research and engineering environments on AWS. We make it fit your organisation, so your team can focus on analysis, design and discovery.
A smoother path to results
Bring preparation, analysis and visualisation together. Connect to scalable HPC when a desktop alone cannot handle the workload.
Someone to turn to
Get help with deployment, integration and day-to-day operation, with clear responsibilities and a plan for what comes next.
Our RES services
Launch it. Connect it.
Keep it working.
Start with the help you need today. We can deliver alongside your team or manage the agreed RES installation, compute infrastructure and integrations.
01 / Deploy & enable
RES deployment
A configured environment that your first team can use.
- Readiness, architecture and deployment
- Identity, networking and project access
- Agreed desktop software stacks and shared storage
- User onboarding, training and handover
02 / Integrate & scale
RES with HPC
Connect the user experience to demanding compute workloads.
- UltraCompute integration using AWS PCS
- Linux login desktops and Slurm job submission
- Shared identity, data and application licensing
- Workload validation and performance / cost tuning
03 / Operate & improve
Managed RES
Ongoing care for your RES installation, compute infrastructure and agreed integrations.
- Monitoring, incident triage and escalation
- Planned RES upgrades and image maintenance
- Access, capacity and cost reviews
- New application and workload onboarding
Our role: the infrastructure behind your research. Our RES services focus on AWS workspace deployment, HPC integration and infrastructure operations. Where a project requires a Trusted Research Environment (TRE), we support the customer's chosen specialist platform through agreed infrastructure delivery and workload integration. Lifebit is one example of a specialist TRE platform.
Already running RES? We can review your installation, address integration or operational issues, and agree a transition into support.
A practical place to start
RES Launch.
Your first team.
Your real workload.
A focused engagement to establish RES in your AWS environment and validate an agreed workflow. You leave with a usable starting point, trained users and a costed roadmap to production.
Scope your RES LaunchWe agree scope, price, timing and acceptance criteria before delivery. AWS consumption and third-party software licences are costed separately.
Define success and check readiness
Choose the first team, application and workflow. Confirm identity, network access, data permissions, licensing and budget.
Deploy and configure RES
Set up the agreed projects, software stacks, access and storage. Include a PCS connection where HPC is part of the scope.
Run the workflow and measure it
Validate access and reproducibility. Record the agreed measures, such as time to result and the cost of a representative run.
Equip your team for the next stage
Provide training, configuration documentation, an operational runbook and a costed production roadmap with clear ownership.
RES + UltraCompute
A simple workspace.
Serious compute
behind it.
RES is the place your researchers and engineers access their work. UltraCompute is TSL's wider HPC offering, built around AWS Parallel Computing Service (PCS).
We connect the layers: applications, identity, storage, scheduling and operations. A RES Linux desktop can become a PCS login node, allowing users to submit Slurm jobs and work with their results from the same environment.
Start with RES desktops when that meets the need. Add the HPC capacity and integrations your workload requires.
Explore the wider UltraCompute offering ↗The user experience
Research and Engineering Studio
Windows / Linux desktops · Applications · Visualisation
TSL configures the integration
The HPC foundation, when required
UltraCompute with AWS PCS
Slurm-managed jobs · Elastic CPU / GPU resources
Shared across the configured environment
Data & access
Connected storage and identity
Storage selected for the workload · Project permissions · Network controls
TSL's infrastructure and operational scope: RES deployment, HPC and workload integration, infrastructure security configuration, cost visibility and agreed operations.
Illustrative service architecture. The configuration, service availability and regional fit are validated for each engagement.
Built around your work
Research. Engineering.
Discovery.
For research and engineering teams across disciplines whose applications, datasets and compute requirements need more than a standard workstation.
Research & scientific computing
Support research across disciplines, from space and climate science to computational modelling, with workspaces, scientific applications and scalable compute.
Engineering & energy
Bring engineering applications, simulation preparation and results visualisation together, with access to HPC for larger runs.
Life sciences
Deliver compute infrastructure and workload integration supporting the customer's chosen research platform, with scope and responsibilities agreed for each deployment.
A foundation for AI alongside science and engineering.
We can add suitable development tools and connect GPU workloads or model services where required. Model deployment, evaluation and inference serving are scoped separately around your workflow.
Our experienceEngineering the environment
around the research.
around the research.
Why The Server Labs
Experience where
the complexity is real.
Our RES offer draws on experience in cloud HPC, scientific data and demanding production environments.
European Space Agency
Distributed data processing and AWS cloud engineering for the Gaia mission's large-scale astronomical workloads.
Read the scientific computing case study ↗Genomics England
Cloud HPC delivery and workload optimisation, including evaluation of compute and storage configurations against measured timings and costs.
Read the HPC optimisation case study ↗These references demonstrate our wider HPC and cloud engineering experience; they are not presented as RES deployments.
Your questions, answered
A clear way
forward.
Can you support our existing RES deployment?
Yes. We start with a review of your version, configuration, integrations and operational needs. We then agree any remediation, support boundaries and a transition plan.
Do we need UltraCompute or AWS PCS to use RES?
No. RES can provide virtual desktops without PCS. For workloads that need HPC, we can connect RES to UltraCompute using AWS PCS. Other compute integrations can be assessed against your requirements.
What does managed RES support include?
The service can cover RES administration, monitoring, incidents, planned upgrades, software images and agreed integrations. Support hours, response targets, backup and recovery responsibilities, and application coverage are defined in the service agreement. AWS service issues follow the agreed AWS Support escalation route.
How is the service priced?
RES itself is open source and available at no additional software charge from AWS. You pay for the AWS resources it uses, any third-party licences, and TSL's agreed deployment, integration or support services. We provide a scoped proposal and running-cost assumptions before work begins.
How does RES fit with sensitive research and Trusted Research Environments?
RES provides technical computing workspaces; a RES deployment does not itself constitute a complete Trusted Research Environment (TRE). Where a TRE is required, our role is to deliver the agreed compute infrastructure and integrations within the customer's selected specialist platform architecture. The specialist provider owns its TRE product and roadmap; research governance and data-access decisions remain with the accountable customer and data custodians.
We configure infrastructure controls such as identity, network isolation and logging against agreed requirements. Compliance and sovereignty depend on the complete architecture and operating model.
What should we bring to the first conversation?
A target team and workload, your main obstacle, and an outline of your AWS environment, identity setup, applications and data. We will help define a practical starting point and the prerequisites for delivery.
Expert RES deployment and support
Let's make RES work
for your team.
Planning a deployment, connecting HPC or looking for ongoing support? Tell us what you need to achieve.