Retvest Deploy / Capacity
Large organisations
Real workload requirements
The target is 100,000 concurrent active users across the company AI environment. Capacity must include model work, tools and durable records, not just signed-in sessions.
Read capacity planningDeploy / Capacity design target
100,000
Concurrent active users
Plan the system around real work
Chat, retrieval, code execution and customer conversations place different demands on the application, models and record layer.
This is the engineering target, not measured or guaranteed capacity. The hardware, model mix, workload and service levels must be qualified together.
How we define capacityWhat must be sized
Every layer carries
part of the workload
- Application and identity
- Active requests, user sessions, permission checks, queueing and fair admission need explicit latency and failure targets.
- Model and tool execution
- Concurrent generations depend on the model, context size, hardware and runtime. Coding, browser and voice tasks add separate resource demands.
- Knowledge and record storage
- Retrieval, ingestion, durable activity, review, evidence and retention need their own throughput and recovery profiles.
- Operation under failure
- Node loss, interrupted work, degraded models and recovery must preserve permissions and truthful outcomes. A single-server fit calculation cannot establish organisation-wide capacity.
Retvest Deploy / Walkthroughs & pilots
See how Deploy fits
your business
Bring one workflow. We’ll discuss the environment, model and work record it needs.