Human Cognition Can’t Keep Up with Modern Networks. What’s Next?
IBM’s recent acquisitions of Red Hat, HashiCorp, and its planned purchase of Confluent reflect a deliberate strategy to build the infrastructure required for enterprise AI. According to IBM’s Sanil Na...
7 Jan 23min
From Group Science Project to Enterprise Service: Rethinking OpenTelemetry
Ari Zilka, founder of MyDecisive.ai and former Hortonworks CPO, argues that most observability vendors now offer essentially identical, reactive dashboards that highlight problems only after systems a...
30 Des 202517min
Why You Can't Build AI Without Progressive Delivery
Former GitHub CEO Thomas Dohmke’s claim that AI-based development requires progressive delivery frames a conversation between analyst James Governor and The New Stack’s Alex Williams about why modern ...
23 Des 202527min
How Nutanix Is Taming Operational Complexity
Most enterprises today run workloads across multiple IT infrastructures rather than a single platform, creating significant operational challenges. According to Nutanix CTO Deepak Goel, organizations ...
18 Des 202515min
Do All Your AI Workloads Actually Require Expensive GPUs?
GPUs dominate today’s AI landscape, but Google argues they are not necessary for every workload. As AI adoption has grown, customers have increasingly demanded compute options that deliver high perfor...
18 Des 202529min
Breaking Data Team Silos Is the Key to Getting AI to Production
Enterprises are racing to deploy AI services, but the teams responsible for running them in production are seeing familiar problems reemerge—most notably, silos between data scientists and operations ...
17 Des 202530min
Why AI Parallelization Will Be One of the Biggest Challenges of 2026
Rob Whiteley, CEO of Coder, argues that the biggest winners in today’s AI boom resemble the “picks and shovels” sellers of the California Gold Rush: companies that provide tools enabling others to bui...
16 Des 202524min
Kubernetes GPU Management Just Got a Major Upgrade
Nvidia Distinguished Engineer Kevin Klues noted that low-level systems work is invisible when done well and highly visible when it fails — a dynamic that frames current Kubernetes innovations for AI. ...
11 Des 202535min
