The CTO Advisor

Calvin Hendryx-Parker hosts Pete Sacco, a 30-year veteran of data center building, founder of Gray Wolf Data Centers, and author of The Bridge. The first half is infrastructure. Pete argues the next trend is enterprises training small language models on their protected data and running inference inside their own walls, questions a neocloud model built on 20-year leases and GPUs that depreciate in a few years, and predicts data centers will get smaller, not bigger: a data center in every town, locally owned and switched, with identity, governance, and security run centrally. He splits inference into light, on the device, and heavy, federated in sites from a 300-kilowatt container to a 20-megawatt facility. The second half is leadership. When agents take the rote 80% of the day, what's left is one important decision after another, and Pete explains why that's exhausting, why the anxiety lands even harder on employees, and why discernment, wisdom, and community are what leaders have left to offer.

Calvin Hendryx-Parker, co-founder and CTO of Six Feet Up, takes the host chair for a week some are calling Black October: remote shell exploits across the PHP world, a certificate authority with crackable keys, a Brotli RCE in Python, and a second CI pipeline compromise at LiteLLM after a leaked key wasn't fully revoked. Keith Townsend asks whether these are developer problems or operator problems, and how you practice zero trust when the security updates themselves can't be trusted. Calvin makes the case for package cooldowns in uv and pip, Keith counters with the patches you can't afford to wait on, and both land on least privilege for the keys that run your build pipelines. Keith tells the story of a coding assistant that killed every app on his Mac when asked to stop one experiment, which leads to smaller agents with scoped, time-bound permissions, code smells for operations, and practical advice for teams without a dedicated security staff.

Calvin Hendryx-Parker, co-founder and CTO of Six Feet Up, is back with Keith Townsend to ask whether the AI bubble is bursting and who is left holding the bag. They start with Oracle's Stargate commitments and Keith's objection to funding that build-out with resources from its database and ERP customers, then get to the constraint underneath it all: power. Keith explains how colocation contracts went from floor space to power, why a rack now holds only a few AI servers, and what that means for ordinary enterprise clusters. From there, supplier continuity when your GPU provider is carrying heavy debt or gets acquired, why software teams abstracted from the hardware should still care, and what happened when Keith asked three clouds for GPU access for his labs. Keith closes with a warning about sticky services like CoreWeave's Weights & Biases tooling: plan for hybrid workflows, not just hybrid cloud. Calvin wraps with Six Feet Up's news and the XPRIZE Visioneering event.

Calvin Hendryx-Parker, co-founder and CTO of Six Feet Up, joins Keith Townsend to ask a question CTOs should be asking now: who gave your AI agent that authority? They start with two recent stories, the reported AWS AgentCore case where an agent fetched IAM session credentials from the metadata server on a user's behalf, and a Codex CLI update that leaves a self-updating daemon running after you quit, restarting itself mid-turn when a new version lands. From there, enterprise persistent memory and which principal an agent acts as when it changes how your business works, Slack bots invited into federated channels, and who is accountable when an agent chases a goal in a way nobody instructed. Calvin's practical advice is granular, explicit roles on the containers agents run in, using the Paperclip meta harness with a Kubernetes agent operator. Keith closes with four governance tests: authorization boundaries, state exportability, behavior traceability, and memory independence.

Rob Lee, Chief Technology and Growth Officer at Everpure (formerly Pure Storage), is back on the show. Keith Townsend asks how a CTO tells a real compute shortage from a data problem dressed up as one. Rob's answer: stop chasing GPU utilization. Measure how long a task takes and how accurate the result is, and utilization follows. From there, data gravity and why agents working inside transactional flows pull compute toward the data, why AI pushes enterprises to reason across every silo at once instead of one application stack like SAP, and KV cache offload as the first layer of a new memory hierarchy for inference. Rob closes with what Everpure has shipped and what's still on the roadmap.