65 stories
Five million signals a day, down to five alerts. How we used agents two different ways on one anomaly detection problem, and where the line moves over time.
Shares of Oracle Corp., DigitalOcean Inc.. and several other tech firms dropped today after a chart about CoreWeave Holdings Inc.’s finances went viral on X. CoreWeave operates a cloud platform optimized for artificial intelligence workloads.
Learn how to benchmark GPT-6 Astra, Claude Fable 5.1, and GPT-5.6 Sol with Weave, comparing model quality, latency, cost, and performance across practical evaluation tasks.
Americans have big concerns about artificial intelligence, but that hasn’t stopped OpenAI Inc., Nvidia Corp., IBM Corp. and others from charging ahead. Last week saw shares of Nvidia, CoreWeave Inc., Oracle Corp. and Nebius Group N.V.
Your agent is live. The service is healthy. But are its answers getting better? By connecting production traces, curated data, The post How to turn AI production feedback into better agents appeared first on The New Stack.
AI inference is fast becoming the workload that decides the economics of the AI boom. Training built the first wave of GPU clouds, but serving models faster and cheaper will define the next.
Enterprises racing to put agents into production are learning that the AI improvement loop never really ends. Agents must be run, observed, evaluated and improved continuously. CoreWeave Inc. has been assembling a full-stack platform aimed at agentic AI.
The full-stack AI cloud market is about more than access to graphics processing units: it also encompasses the tools needed to improve models and agents in production. Providers are seeking to distinguish themselves through the tooling, partners and expertise they combine with hardware.
On-device personal AI requires models and agent software that can operate within fixed hardware limits. Developers also need ways to keep those systems improving after deployment. Model builders are rethinking architectures designed around elastic cloud capacity.
AI model training can leave startups managing infrastructure alongside the products they are trying to build. Willow Care Inc., the company behind AI dictation app Willow Voice, chose CoreWeave Inc. for its forward-deployed support rather than compute alone.
US-based AI cloud infrastructure provider CoreWeave has announced its entry into India, with plans to deploy 240 MW (megawatts) of…
CoreWeave Direct-to-Expert brings your team expert assistance in minutes from the engineers who built CoreWeave Cloud, via the channels you’re already using.
AI cloud-computing provider CoreWeave Inc. is continuing an expansion in Asia with its first data centers in India, part of a venture involving conglomerate Adani Group.
Demand for new data centers, power plants and highways is fueling a construction boom, even as the industry wrestles with declining productivity and a shortage of skilled machine operators. Physical AI, which lets machines perceive their surroundings and act on them, is emerging as one answer.
Open-weight models keep multiplying, and the AI coding harness around them is becoming just as important to get right. Developers and enterprises are trading off cost against capability. The harness helps translate a model’s capabilities into useful work. Cline Bot Inc.
GPU utilization during post-training depends partly on how efficiently infrastructure moves data and loads updated models. As enterprises continually refine AI agents, reducing delays between training rounds can help keep that process moving.
AI teaching agents could make personalized instruction available to more learners by reducing the cost and staffing demands of one-to-one tutoring. MasterClass is exploring that potential through a system designed to adapt to how each student learns.
AI infrastructure built on dense graphics processing unit clusters and high-speed AI networking is no longer reserved for frontier model labs. The same compute behind the industry’s push into physical AI is now reaching engineers designing machines for competitive combat.
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