Browsing: Scaling

A traffic spike hits your self-hosted text-to-speech (TTS) endpoint, and requests start queueing. Latency climbs past your service level objective (SLO) right when the most callers are listening. The auto scaling policy behind that endpoint was supposed to prevent this, but the target value it scales on was a guess, and guesses like that fail…

The extra screen real estate that comes with the design of a foldable phone can be pretty enticing. Whether you’re looking to play games, watch videos or read, a foldable offers more room for your favorite activities. But the expanded space can also complicate how apps adapt to a device that changes the aspect ratio…

Taiwan’s role in artificial intelligence extends across semiconductor fabrication, advanced packaging, server integration, storage, precision manufacturing, and industrial automation. Together, these capabilities help turn advanced hardware designs into infrastructure that can be produced and deployed at scale.

There isn’t a single manual to read or prompt to give an LLM that can equip you with the skills and knowledge to build a company. But on November 4, TechCrunch Founder Summit gives founders the next-best thing: A packed day at Boston’s SoWa Power Station, where investors and operators share how they’ve navigated crucial…

jaam automation has launched M. by jaam, an Agentic Work Management platform designed to help financial institutions and other businesses connect AI agents, employees and existing systems as they scale AI across operational workflows.

When you post-train a Mixture-of-Experts (MoE) model with Reinforcement Learning from Human Feedback (RLHF) or Group Relative Policy Optimization (GRPO) at scale, three simultaneous challenges emerge. The first requires coordinating heterogeneous compute for rollout generation and policy training. Second, sustaining high-throughput communication across hundreds of accelerators. And third, dynamically orchestrating every subsystem to keep them…

Waymo’s commercial robotaxi ramp-up looks expansive, both in geographic reach and in ridership. And by almost every measure, it is — until you pay attention to where the bulk of those robotaxis are actually showing up.

Reinforcement learning (RL) is the central training paradigm for advancing large foundation models towards self-improvement. This report introduces the MiMo-V2.6 series, an omni-modal family that pushes the frontier of model intelligence by scaling RL compute. Prior to RL, we conduct mid-training on a broad multimodal corpus to provide ample exploration space, and build a solid…

As agentic AI moves from experimentation toward enterprise deployment, the challenge is figuring out how agents can work together, connect to the systems and data they need, and operate safely across the workflows that run a business. Although agentic AI has been adopted by some 80% of Fortune 500 companies, progress toward meaningful scale remains…

Scaling support operations requires handling rising ticket volumes, meeting strict Service Level Agreements (SLAs), adapting to evolving compliance requirements, and maintaining documentation that quickly becomes outdated, all without proportional increases in headcount. In many teams, the knowledge required to resolve tickets is fragmented across SOPs, recordings, and tribal expertise, forcing analysts to spend significant time…