AI inference
Infrastructure & Cloud
Kubernetes Is Now the Default OS for AI: Inference at Cluster Scale in 2026
⚡ Key Takeaways Kubernetes is now the default substrate for AI inference: 82% of container users run K8s and 42%...
AI & Automation
Local AI vs Cloud AI: Where Will Intelligence Actually Run?
On-device models, cloud APIs, or hybrid? A practical guide to where AI inference should run in 2026 -- costs, privacy, latency, and the real trade-offs.
AI & Automation
AI Training vs AI Inference: The Two Economies of Artificial Intelligence
The economics of AI training versus inference: why training is a one-time capital expense while inference is the recurring cost that determines AI viability.
AI & Automation
AI Compute Scaling: Why the Shift from Training to Inference Changes Everything
Inference now consumes two-thirds of all AI compute, reshaping hardware, economics, and business models. The cost per token is dropping 10x yearly.
Infrastructure & Cloud
Groq vs Cerebras 2026: AI Inference 100x Faster Than GPUs
When most organizations think about AI infrastructure, they think about Nvidia. The H100 GPU has become the default unit of AI compute — a $30,000 chip that powers everything from model training at OpenAI to inference pipelines at enterprise software companies.
