GPU Insights -

Edge AI vs Cloud GPU Inference 2026: The Data Sovereignty and Latency-Cost Framework

A construction-site monitoring system that ships raw video to the cloud for object detection is not primarily an engineering decision in Europe in 2026 — it is a GDPR liability, because video of a workplace is video of identifiable people, and every frame that leaves the site becomes a data-protection question a works council can … Read more

Custom AI Silicon vs GPU Rental 2026: When TPU, Trainium, and Maia Beat NVIDIA and AMD

Google will tell you its seventh-generation Ironwood TPU delivers roughly 44% lower total cost of ownership than a comparable GB200 configuration. What Google will not tell you, three months after Ironwood’s general availability, is what it actually costs to rent one. That asymmetry — bold efficiency claims paired with no public price — is the … Read more

vLLM vs SGLang vs TensorRT-LLM 2026: The Enterprise Inference Engine Decision

A platform engineer migrating a production chatbot from vLLM to TensorRT-LLM in early 2026 discovered the throughput gain everyone promised — roughly 13% more tokens per second — came bundled with a 28-minute engine compilation step that had to re-run on every model update, turning a five-minute deploy into a half-hour ritual multiplied across dozens … Read more

The Enterprise GPU Procurement Playbook 2026: Contracts, Capacity Guarantees, and Provider Financial Risk

A mid-market AI company signed what its infrastructure lead described as a “capacity guarantee” for 200 GPUs with a growing neocloud in early 2026. Six months later, during a regional shortage, the provider invoked a clause defining that guarantee as “best commercially reasonable effort” — language buried in an appendix nobody on the buying side … Read more