Meta announced on Tuesday that it's testing a Threads feature that lets users tag a Meta AI account to get answers to questions or context about a conversation on the platform. If you've spent any time looking at replies on X as of late, this new feature sounds a lot like Meta's take on people tagging xAI's Grok. But, as reported by Engadget, Threads users quickly discovered that you can't block the new Meta AI account, and they aren't happy about it.
Meta has invested heavily in AI as it works to catch up to rivals like OpenAI and Google, spending billions to hire AI talent. It launched a new AI model called Muse Spark in April, which it s …
Read the full story at The Verge.
Days after a township meeting ended with police forcibly removing a speaker, Andover Township officials announced they plan to ban all data centers — including those that fuel AI.
Google and SpaceX are in talks to build data centers in orbit, pitching space as the future home for AI compute, even as costs today remain far higher than on the ground.
The post NVIDIA Launches Fleet Intelligence for GPU Monitoring appeared on BitcoinEthereumNews.com.
Felix Pinkston
May 11, 2026 20:27
NVIDIA’s new Fleet Intelligence service offers real-time GPU fleet monitoring, improving efficiency and reliability for data centers.
NVIDIA has announced the general availability of Fleet Intelligence, a managed service aimed at providing real-time monitoring for GPU fleets. Designed for data center operators and enterprises scaling NVIDIA GPUs, this service tackles the complexities of managing heterogeneous hardware, fast-evolving software stacks, and variable workloads. The goal is clear: optimize performance, reduce downtime, and maximize return on investment (ROI). Fleet Intelligence employs a lightweight, host-based agent to stream telemetry data to a cloud-based platform. This enables precise insights into key operational metrics, including power consumption, temperature, performance, health, and configuration consistency. NVIDIA
The post Meta stock Analysis: 596–603 Pivot Corridor and Bearish Signals appeared on BitcoinEthereumNews.com.
Meta stock trades heavy near the 600 handle as momentum fades, keeping focus on the tight 596–603 pivot corridor. Rallies look fragile until daily momentum repairs, while lower timeframes show stretch without a confirmed reversal. META — daily chart with candlesticks, EMA20/EMA50 and volume. Meta stock daily outlook: trend and key levels On the Daily chart, META closed at 598.86 after a 604.91 intraday high and 598.08 low. Sellers defended upticks and pinned price near session lows. Therefore, the tape remains heavy at the lower end of the recent range. Daily EMAs sit at the 20-day 627.93, 50-day 631.70, and 200-day 652.93, with price below all three. This reinforces primary downside pressure and suggests rallies face supply overhead. Daily RSI(14) is 39.16, keeping bearish momentum intact without deep oversold conditions. Meanwhile, MACD shows the line at -6.28 versus signal 0
State and federal energy ministers said investments in new renewable generation and energy storage should “fully offset” new data centres’ energy needs
Power hungry datacentres that are growing to meet the energy demand of artificial intelligence could be forced to invest in enough new solar and wind generation to completely cover their electricity needs.
State and federal energy ministers agreed at a meeting last week that datacentres across the country should “fully offset” their electricity demand through investments in new renewable generation and energy storage.
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Cowboy Space's orbital data centers could revolutionize AI infrastructure, addressing energy demands and opening new markets in space technology.
The post Cowboy Space raises $275M to build orbital data centers powered by solar energy appeared first on Crypto Briefing.
Modern large language models are no longer trained only on raw internet text. Increasingly, companies are using powerful “teacher” models to help train smaller or more efficient “student” models. This process, broadly known as LLM distillation or model-to-model training, has become a key technique for building high-performing models at lower computational cost. Meta used its […]
The post Understanding LLM Distillation Techniques appeared first on MarkTechPost.
