End-to-end context
Connect GPU and host behavior, Linux, Ceph and storage, network paths, data-center deployment, security controls, telemetry, observability, and physical constraints instead of treating them as isolated layers.
AI infrastructure first
About Greyson K. Evers
Greyson K. Evers focuses on AI infrastructure and GPU systems, grounded in Linux and bare metal, Ceph and distributed storage, virtualization, high-speed networking, data-center deployment, security, telemetry, and observability. Bare-metal automation and platform capabilities are active development areas; critical-facilities and BAS/OT experience adds secondary operational context.
Open to remote and strategic relocation.
Operating perspective
Systems are credible when they are observable, recoverable, secure, and usable by the next operator.
Operational discipline
Prefer repeatable validation, explicit failure modes, useful runbooks, recovery practice, and evidence that another engineer can review.
Factual boundaries
Redact customer and employer context, label planned work as planned, and publish metrics or outcomes only after verification.
Current development direction
Active work is deliberately labeled as development—not claimed mastery.
BMC, IPMI, and Redfish
Active development focus: building practical management-plane workflows for remote bare-metal operations.
PXE and bare-metal provisioning
Active development focus: developing repeatable host provisioning and validation workflows.
Kubernetes and GPU scheduling
Active development focus: learning platform foundations for scheduling and operating GPU workloads.
Infrastructure as code
Active development focus: expressing reproducible infrastructure configuration and operational intent as code.
High-speed networking
Active development focus: deepening design and validation practices for high-throughput infrastructure fabrics.
Observability and automated remediation
Active development focus: connecting telemetry, actionable alerts, runbooks, and safe remediation workflows.
Secondary differentiator
Critical facilities and BAS/OT experience add context to the infrastructure identity; they do not replace it.
Data-center floor awareness helps connect AI and GPU systems decisions to racks, cabling, power, environmental controls, commissioning, maintenance windows, and safe operational handoff. The primary direction remains AI infrastructure and GPU systems, Linux, Ceph and storage, virtualization, high-speed networking, security, telemetry, and observability. Automation and platform capabilities remain active development areas.