Practice area
Distributed Systems & Bare-Metal/GPU Architecture
End-to-end systems engineering, embedded and low-level software, and infrastructure cost optimization across cloud, bare metal and GPU.
AI workloads have made infrastructure a board-level cost line again. We size, source and engineer the environment from the workload up: what the model actually needs, which providers can deliver it this month, and what the 36-month total cost looks like against the cloud bill you have today.
What that includes
- GPU and bare-metal sizing
- Workload-driven sizing for training and inference, with sourced, comparable provider quotes.
- Cost normalization
- 36-month TCO models that put cloud, reserved, bare metal and colocation on the same basis.
- Distributed systems
- Service architecture, queues, replication and failure handling for systems that cannot go down.
- Embedded and low-level
- Firmware, drivers and OTA pipelines for hardware and industrial products.
What you end up with
- An infrastructure plan with a defensible 36-month cost.
- Capacity sourced from providers that can actually deliver.
- Systems with documented failure modes and tested recovery.
Capabilities in this practice
- Embedded & Low-Level Systems Firmware and device software for constrained hardware, from board bring-up through field deployment, with updates that cannot brick a unit.
- Architecture Review & Fractional CTO Senior judgment when the decision is expensive: cloud versus bare metal, build versus buy, vendor selection and security posture.
- Managed Infrastructure Operations Ongoing operation of the infrastructure we build: provisioning, identity, backups, monitoring and on-call with a written response time.
- Mobile & Field Clients Native and cross-platform clients for the systems we build: field-service apps, device companions and operator consoles that work offline and pass store review.
- After-Hours Support Emergency software support when production breaks overnight: outages, failed deploys, cloud, database, DNS and SSL. A principal engineer from 7 PM to 6 AM Central.
Selected work
Case study: RentServers.com
Shipped from zero to a production clearinghouse in under 14 days, normalizing multi-vendor bare-metal and GPU quotes with server-rendered pages delivered in under 40 ms and native MCP agent discovery.
Read the case study