Open models and scale-to-zero: managing cold starts and cost
Which open model families still make sense when a deployment really scales to zero and cold starts start hurting product experience.
Stories, experiments, research and deep‑dives into the world of artificial intelligence
Which open model families still make sense when a deployment really scales to zero and cold starts start hurting product experience.
Why EU data residency solves only part of the enterprise AI review and what teams still need to verify after geography.
Zyphra made ZAYA1-8B strong not by making it huge, but by making it efficient at every layer of the stack. The short version is…
The simplest way to connect Regolo Core Models API to Botpress is to use Execute Code Card and call Regolo’s OpenAI-compatible API endpoints to…
Both MiniMax M2.7 and Kimi K2.5 are open-weight Mixture-of-Experts models released in early 2026 that punch well above their cost class. They are not…
At AI Salon Rome, the conversation was not about AI in the abstract, It was about what it actually takes to build systems that…
A practical guide to choosing between Qwen, Mistral, and Gemma based on workload, cost, serving profile, and model family tradeoffs.
Keep inference inside EU jurisdiction, minimize retention, and design the stack so prompts, outputs, and tool payloads do not persist unless they truly must.…
Most AI coding agents understand your repository the same way a junior developer would on their first day — by scanning raw files in…
The 2026 wave of EU regulation makes AI governance and data protection a single, continuous compliance problem: if we ship or operate LLMs in…
TurboQuant is a KV-cache compression method from Google Research that was presented at ICLR 2026. In the reported results, it compresses KV cache values…
Artificial intelligence is simultaneously our most promising tool for fighting climate change and one of its fastest-growing contributors. As AI adoption accelerates globally, the…