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Anthropic shipped Claude Opus 4.8 on May 28, 2026, exactly 41 days after Opus 4.7. The SERP was empty for two days after launch. Not because nobody cared. Because engineering managers and finance teams were doing the math on whether the bill changes.

Two days in Minneapolis with the OpenTelemetry community, talking about where telemetry pipelines are headed and what the AI wave is doing to them. Two topics dominated everything: AI and cost reduction. Not as separate conversations, either. The more the community talked about AI telemetry, the more the cost question followed right behind it. I joined Diana Todea from VictoriaMetrics and Antonio Jimenez Martinez from Cisco ThousandEyes on the Telemetry That Matters panel.

By benchmarking five GCP machine types across both Logstash and Kafka, LivePerson's observability team found that infrastructure selection (not just pipeline configuration) is one of the highest-leverage cost optimization decisions at scale.

I keep hearing the phrase "code is cheap." I don't know who came up with it. Whoever it was clearly has not seen an Anthropic bill. I get what they mean. The cost of writing a line of code has cratered, AI does most of the typing, you know the rest. Fine. But the phrase is combative in a way that doesn't help anyone, especially the engineers in the room. "Code is accessible" lands better. Less swagger, more honesty. Either way, here's the line my friend Guillaume gave me that finally cracked it open.

When distributed workloads stall because nodes cannot exchange small messages quickly and consistently, the network is the limiting factor. How do you solve that problem? InfiniBand offers one solution. InfiniBand is an interconnect, meaning the end-to-end communication system that links compute, storage, and accelerator nodes. It is implemented as a purpose-built network fabric, the switching and transport layer engineered to deliver high bandwidth and low, predictable latency between those nodes.

"Blackwell sales are off the charts, and cloud GPUs are sold out. Compute demand keeps accelerating and compounding across training and inference, each growing exponentially. We've entered the virtuous cycle of AI." Jensen Huang, CEO, NVIDIA When NVIDIA's CEO makes that statement in a quarterly earnings release, it is not marketing language.