AI inference
Infrastructure & Cloud
Inference Is the New Training: How AI Is Forcing a Cloud Infrastructure Redesign
⚡ Key Takeaways AI inference already accounts for half of all AI compute in 2025 (Deloitte) and will reach two-thirds...
Infrastructure & Cloud
Algeria 5G Edge Computing: How Industrial IoT Deployments Are Reshaping Cloud Architecture
⚡ Key Takeaways Inference workloads now consume two-thirds of all AI compute globally in 2026, and Akamai’s 4,400-node GPU edge...
AI & Automation
Brain-Inspired Chips: How Cambridge’s Hafnium-Oxide Memristor Could Cut AI Energy by 70%
⚡ Key Takeaways Cambridge researchers (led by Dr. Babak Bakhit) have published in Science Advances (April 2026) a hafnium-oxide memristor...
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.
