FlexInfer Platform Lab
I help teams ship private AI infrastructure for sensitive workloads: on-prem/hybrid inference operations, context governance, and healthcare-aligned integration reliability.
Recent outcomes
- Read cluster health and capacity: cluster view.
- Trace an agent delivery run through its stages and gates: factory evidence.
- Inspect loaded models and measured throughput: inference plane.
Why this exists
I help teams address operational problems: runaway GPU spend, deploys that feel risky, and dashboards that don't answer "is it working?" quickly.
I publish practical patterns for operating private AI platforms in environments where reliability, traceability, and data boundaries matter.
How I work
Baseline
Measure cost and latency under a representative workload. Identify bottlenecks that actually move spend.
Outputs
- Workload profile (traffic shape + prompt mix)
- Cost curve (throughput vs spend)
- Bottleneck map (what is actually limiting)
Signals I track
Stabilize
Put guardrails in place: routing, budgets, autoscaling, and rollout and rollback procedures the team can rehearse.
Outputs
- Capacity model + safe scaling strategy
- Rollout/rollback plan with guardrails
- Cost controls (budgets, caps, routing rules)
Signals I track
Operate
Alerts that point to ownership, runbooks that match reality, and dashboards that answer “is it working?” fast.
Outputs
- SLO-style targets (latency, error, cost)
- Dashboards that match on-call questions
- Runbooks linked from alerts
Signals I track
Deliverables
Each engagement produces written deliverables. If we work together, you should end up with a baseline you can reproduce, a rollout plan you can execute, and operational docs that your team will actually use.
Typical artifacts
- Baseline report (workload, costs, bottlenecks)
- Architecture notes + deployment model
- Dashboards + alert thresholds (first pass)
- Runbooks (alerts -> actions)
- 90-day plan with owners and milestones
Clarity
You know what drives cost and what to change first.
Control
Deploys have guardrails and rollbacks are rehearsed.
Operations
Dashboards + runbooks answer on-call questions fast.
The systems
Read-only views of the systems behind this site, each panel labelled live, snapshot, or unavailable.
Founder
Cody Blevins
I've worked in healthcare integration since 2012, across engineering, support, and team leadership. My independent projects focus on GPU infrastructure, inference tooling, and GitOps workflows. FlexInfer is where I share that work and offer hands-on consulting.
Focus
Production AI infra
Style
Measurable, ops-first
Mode
Remote-friendly
Want help shipping this?
If inference is unstable, costs are spiking, or deploys feel risky, tell me what you're building and where it's getting stuck.