TabFM could simplify and make predictive analytics cheaper by removing model training and deployment costs, but enterprises may not see the same savings across every workload.

AI model-training startup AfterQuery has reportedly raised a round that valued it at $3.2 billion, just five months after ...

In one attack, threat actors stole an API key that ultimately led to the consumption of $600,000 in public AI model credits ...

New dashboard breaks down Snowflake Cortex AI costs by product, agent, user, role, and model, pairing spend with performance ...

Tencent open-sources Hy4, a 770B-parameter AI model, as China’s DeepSeek, Alibaba and others push frontier AI toward lower ...

SOFTSWISS rebuilt security analytics around ClickHouse, open-source collection and tiered storage to improve query speed, extend retention and cut SIEM costs in a high-volume environment.

Microsoft is urging engineers to curb excessive AI token use and focus on generating more business value from each query.

The startup came out of stealth with $6 million in seed funding and a plan to use LLMs and cybersecurity know-how to make AI ...

Jedify, the autonomous context graph for data-intensive agentic applications and workflows, today announced the findings of a new benchmark study on context graph architectures, which pre-encode ...

Separating workloads, monitoring compute consumption and applying surge protection can help stabilize Microsoft Fabric performance and control costs.

Postgres, minus the terminal. Still Postgres underneath.

Ox Alpha, an anonymous AI coding model with 1M-token context, launched free on OpenRouter August 20 -- retaining every ...