BitTorrent Launches BTTInferGrid: The Decentralized Infrastructure Layer for Scalable AI Inference

Databricks is pitching a fix for what it sees as the growing operations mess in enterprise AI. With the launch of Genie ZeroOps, unveiled at its Data + AI Summit, the company is targeting a problem many data teams know too well: it’s no longer building pipelines and models that hurts, it’s keeping them running. As data estates sprawl and AI workloads multiply, engineering time is increasingly eaten up by maintenance. Meanwhile, AI coding tools are accelerating development, churning out even more assets that need oversight, widening the gap between how fast teams can build and how much they have to manage. Databricks Genie ZeroOps is a new agentic operations capability that is designed to automate the monitoring, investigation, and remediation of issues across data and AI workloads. Currently in private preview, ZeroOps uses an AI agent to identify anomalies, trace root causes using metadata and lineage information via Unity Catalog, generate proposed fixes, and then test those fixes in

Fortinet's Nvidia partnership strengthens AI security, potentially setting new standards for safeguarding AI workloads in cloud environments. The post Fortinet partners with Nvidia to enhance GPU-powered AI security appeared first on Crypto Briefing.

We implement xFormers, a practical toolkit for fast, memory-efficient Transformer models on GPUs. We validate memory-efficient attention against a standard implementation, then compare speed and memory across sequence lengths. We work through causal masking, packed variable-length sequences, grouped-query attention, and custom ALiBi biases. Finally, we combine these into a trainable GPT-style model with SwiGLU layers and automatic mixed-precision training. The post How to Build Memory-Efficient Transformers with xFormers Using Packed Sequences, GQA, ALiBi, SwiGLU, and Causal Attention appeared first on MarkTechPost.

China's new fiber system boosts AI infrastructure, enhancing data capacity and reinforcing its dominance in the global optical fiber market. The post China activates world’s first three-band optical fiber system designed for AI workloads appeared first on Crypto Briefing.

Oracle's massive cloud investment could redefine its market position, challenging major players and reshaping AI infrastructure dynamics globally. The post Oracle is pouring tens of billions into cloud infrastructure for AI workloads globally appeared first on Crypto Briefing.

AMD's AI and GPU advancements could significantly boost investor confidence, potentially driving long-term growth and higher stock valuations. The post Wolfe Research reiterates AMD price target at $450 on AI and GPU growth appeared first on Crypto Briefing.

$IREN secured 96% of the $5.81bn GPU capex for its Microsoft contract at a low single-digit all-in financing cost. This was enabled by by the Microsoft lease itself and carries investment-grade credit rating. The following guest post comes from BitcoinMiningStock.io, a public markets intelligence platform delivering data on companies exposed to bitcoin mining, artificial intelligence, […]

A systems-level deep dive into the hidden microarchitectural costs of Kubernetes GPU time-slicing, and what it actually costs to co-locate Agentic AI workloads. The post GPU Time-Slicing for Concurrent LLM Agents on Kubernetes appeared first on Towards Data Science.