134 stories
AI data centers have spent heavily on faster accelerators, denser racks and liquid cooling to keep that hardware running. The data pipeline that feeds those processors has not kept up, and expensive compute ends up waiting on memory and storage.
Datalab released OmniParseBench, an open OCR benchmark with 16,288 yes/no tests on 2,937 pages in 92 languages. Every score is a pass rate you can slice by tag, script or language.
As AI factories scale, hardware interoperability is becoming as important as raw performance. Accelerators, memory and storage now come from many different suppliers, and every mismatch between them slows deployment across the data center.
AI factory deployment has long been a race to secure graphics processing units, but the builders of those systems are finding that compute is only half the problem. Data pipelines, storage costs and the clock on getting a cluster running now weigh as heavily as raw horsepower.
Memory has become the scarcest resource in the AI data center, and hyperscalers are rethinking how they hand it out. Composable memory, which pools capacity beyond individual servers and assigns it to workloads on demand, is emerging as one of the most practical answers to that squeeze.
Server consolidation is getting a second look as agentic AI drives a surge in demand for general-purpose compute. Graphics processing units dominate the AI infrastructure conversation, but the agents running on those systems lean heavily on central processing units, and data centers are short on…
A team of researchers investigating AI agents trying to bypass Alibaba’s anti-bot protections left a hidden message inviting the agents The post Researchers left a hidden message for rogue AI agents. Then the agents wrote back. appeared first on The New Stack.
When building AI prototypes, developers naturally want to get up and running as fast as possible. But move too fast, The post Your database decision could come back to haunt you appeared first on The New Stack.
Data sovereignty is becoming an architectural problem as enterprises push artificial intelligence inference toward their most sensitive information. Pipelines assembled from separate tools struggle to keep embeddings, permissions and source data aligned, leaving many valuable data sets out of AI’s…
AI factories run on graphics processing units that cost a fortune and work at blistering speed, yet those chips increasingly sit idle waiting for data. As the bottleneck moves from compute to memory and storage, NAND flash is being asked to do far more than hold files.
AI infrastructure networking is approaching a physical turning point as the copper links that tie GPUs together inside a rack strain under ever-faster signaling speeds. The move to light-based interconnects could redraw the boundaries of what counts as a single AI system. Cisco Systems Inc.
Marktechpost ranks the 9 best AI gateways for 2026. We compare Bifrost, Portkey, LiteLLM, Kong, TrueFoundry, Cloudflare, Vercel, OpenRouter and Orq.ai on latency, pricing, licensing, governance and deployment.
Liquid AI released LFM2.5-24B-A2B, an open-weight 24B Mixture-of-Experts reasoning model with 2B active parameters. It targets local agents, scoring 48.09 on LiveClaw and decoding 184 tokens/s on an Apple M5 Max.
Across industries, the U.K. is putting the full stack to work — and the scale of deployment is growing fast, from enterprises transforming their businesses to startups solving some of the planet’s hardest problems.
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.
Workday is opening up its platform and allowing developers to build their own HR and finance agents in Claude Code, The post Workday goes headless, opening its HR and finance data to outside AI agents appeared first on The New Stack.
Z.ai’s GLM-Legal is a legal AI model built on GLM-5.3-Flash. It scores 19.2% all-pass on Harvey’s Legal Agent Benchmark, nearly 3x its base, at $0.15 per test. Access is by application. The post Z.ai GLM-Legal Beats Claude Fable 5 and Kimi K3 on Harvey LAB appeared first on MarkTechPost.
TE Connectivity and Amphenol are helping Nvidia and Cisco with USFP connectors and modules.
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