Intelligence Layer for HPC and GPU Clusters
Expanse captures deep telemetry from every job - building a living knowledge base that predicts failures before submission, empowers your agents with deep cluster context, and turns your cluster's history into answers.
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Trusted across research and industry
The bottleneck between your researchers and results
Infrastructure is expensive. Wasting it on silent crashes, OOM failures, and unoptimised jobs doesn't just destroy ROI - it slows down research.
Out of Memory Errors
Memory spikes kill training runs 10 hours in.
Blind submissions
Researchers guess resource requirements because there's no way to know what's right.
Why isn't my job running?
Researchers escalate queue questions to admins instead of checking themselves.
Tribal knowledge
The fix lives in someone's head. When they're on holiday, the team is stuck.
Real data from our free scanner. One command, 30 seconds.
Scan Your Cluster FreeYour cluster is flying blind
The New Way
Expanse
- Predicts OOM/timeout failures before submission
- Integrates to your AI agents
- Understands your workload
- Learns from every job
The old way
Traditional HPC
- Submit and pray
- Debug after failure
- Blind to your infrastructure
- Same mistakes repeated
Shared intelligence. One knowledge base.
Everything your team needs to be self-serve
Expanse doesn't just monitor your jobs - it understands them. Every capability builds on a shared knowledge base that gets smarter with every workload.
Observe
See everything.
Researchers see their own metrics and queue position. You see everything.
Predict
Know before you submit.
OOM risk flagged before the job enters the queue. No more "why did my job fail?" messages.
Diagnose
Solution-oriented logs, not stack traces.
When a job fails, Expanse empowers your team to fix it - surfacing what went wrong, why, and how.
Knowledge Base
Every job makes the next one smarter.
Expanse learns from every workload it touches. Failure signatures, resource profiles, and recovery patterns feed back into a shared intelligence layer - so predictions get sharper with every run across the network.
Predictions that compound
The more jobs Expanse sees, the more accurate it gets. OOM predictions, runtime estimates, and failure detection all improve continuously as the knowledge base grows.
Cross-institutional learning
When a researcher in London hits a gradient divergence, an engineer in SF benefits from the fix. Anonymised patterns flow across the network - your team learns from every team.
Enterprise data isolation
Need to keep your data private? Enterprise licences run a fully isolated knowledge base - same intelligence, trained only on your own workloads. No data leaves your infrastructure.
The missing context for AI
Empower your agents with deep cluster context.
Expanse gives any AI agent access to deep telemetry, job history, and institutional knowledge - turning generic AI into one that understands your infrastructure.
Plug in via MCP.
Expanse exposes MCP tools that give any AI agent - Claude, GPT, or your own - direct access to cluster telemetry, job history, and resource predictions. No wrapper scripts. No glue code.
Agents that act, not just answer.
With full cluster context, your agents can diagnose failures, adjust configurations, and resubmit jobs autonomously. Researchers open their laptops to results.
Natural language over your infrastructure.
"Why did job X fail?" or "what's the optimal GPU config for this workload?" - answers grounded in real telemetry, not documentation.
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Start focusing on research, not resources
Start for free. No credit card required. Upgrade when you need intelligence.