Research1 мин
AWS Machine Learning explains how to avoid auto-scaling pitfalls
AWS Machine Learning shares techniques for avoiding errors in TTS auto-scaling.
SMNTCN (Semanticon) — глобальные новости ИИ
Publication Catalog
All stories
All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
416
Stories
Infrastructure1 мин
NVIDIA представила поддержку кластеров из восьми узлов DGX Spark
NVIDIA представила поддержку кластеров из восьми узлов DGX Spark для разработки ИИ.
SMNTCN (Semanticon) — глобальные новости ИИ
Infrastructure1 мин
Как загружать данные в память GPU на Python с помощью NVIDIA GPUDirect Storage
Изучите, как загружать данные в память GPU с помощью NVIDIA GPUDirect Storage.
SMNTCN (Semanticon) — глобальные новости ИИ
Research1 мин
OpenAI, Anthropic и Nvidia установили рекорды по лоббированию
OpenAI, Anthropic и Nvidia потратили почти 6 миллионов долларов на лоббирование.
SMNTCN (Semanticon) — глобальные новости ИИ
Infrastructure1 мин
OlmoEarth v1.3: State-of-the-art embeddings for the whole planet
A Blog post by Ai2 on Hugging Face
Hugging Face Blog
Infrastructure1 мин
NVIDIA представила Minerva для повышения наблюдаемости в AI-фабриках
NVIDIA представила платформу Minerva для повышения продуктивности AI-фабрик.
SMNTCN (Semanticon) — глобальные новости ИИ
Research1 мин
OpenAI, Anthropic, and Nvidia had record lobbying quarters
It was a busy summer for AI lobbyists. Anthropic, OpenAI, and Nvidia each had their highest-spending lobbying quarter between July and September, federal disclosures show. Nvidia spent the most of the group at $2.2 million, followed by Anthropic's $2.1 million and OpenAI's $1.5…
The Verge — AI
Startups1 мин
Keynote GTC Berlin 2026
📌 Keynote GTC Berlin 2026 The main topics are physical AI, sovereign computing and the transformation of data centers into the format of factories that produce intelligence as a product. Over the year, Nvidia invested almost $10 billion in Europe, announced 14 investments in startups and counted more than 12...
Telegram — AI Machine Learning Big Data
Research1 мин
AI news digest for October 22, 2026
Today in the world of artificial intelligence is full of significant events. Hugging Face has announced a new model for communicating with DNA that opens new horizons for bioinformatics. At the same time, Meta
SMNTCN (Semanticon) — глобальные новости ИИ
Infrastructure1 мин
The Download: computing’s next leap and permafrost’s climate threat
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. How far can we push computing? On a December evening in 1959, the physicist Richard Feynman gave a lecture called “There’s Plenty of Room at…
MIT Technology Review
Policy & regulation1 мин
Открытые модели NVIDIA поддерживают проекты в европейском госсекторе
Новые открытые модели NVIDIA помогают европейским правительствам эффективно управлять данными.
SMNTCN (Semanticon) — глобальные новости ИИ
Research1 мин
Европейские пионеры используют модели NVIDIA Earth-2 для прогноза погоды
Модели NVIDIA Earth-2 помогают прогнозировать погоду и климат в Европе.
SMNTCN (Semanticon) — глобальные новости ИИ
Research1 мин
NVIDIA трансформирует европейскую розницу с помощью ИИ и роботов
NVIDIA внедряет открытые модели и физический интеллект в европейскую розницу.
SMNTCN (Semanticon) — глобальные новости ИИ
Infrastructure1 мин
Companies are using the NVIDIA DSX platform to solve their energy challenges
Companies are adopting the NVIDIA DSX platform to solve energy challenges and optimize infrastructure.
SMNTCN (Semanticon) — глобальные новости ИИ
Infrastructure1 мин
NVIDIA расширяет платформу Cosmos для создания мировых моделей
NVIDIA расширила платформу Cosmos новыми инструментами для создания мировых моделей.
SMNTCN (Semanticon) — глобальные новости ИИ
Infrastructure1 мин
Европейские финансовые организации принимают открытые модели для ИИ
Европейские финансовые организации внедряют открытые модели для создания интеллекта.
SMNTCN (Semanticon) — глобальные новости ИИ
Research1 мин
Speedrunning Relational Foundation Model Pretraining
arXiv:2610.28855v1 Announce Type: new Abstract: Progress on foundation model pretraining is gated by who can afford a trial, and relational pretraining is no exception. Recipes are developed inside individual labs, reported under private protocols, and do not accumulate.…
arXiv — cs.AI
Startups1 мин
CLM-8B: an open and fast model for selecting agent actions
🌟 CLM-8B: an open and fast model for selecting agent actions Stanford, in collaboration with NVIDIA, has made the first model of the Contrastive Language Models class publicly available. This is an open analogue of Jev, which was presented on September 15 by the TypeSafe AI startup of a former researcher...
Telegram — AI Machine Learning Big Data
Startups1 мин
Dream Labs presented a model for controlling unfamiliar robots
✔️ Dream Labs presented a model for controlling unfamiliar robots Four former NVIDIA researchers from the GR00T robotics project team came out of stealth with their startup and opened the public API of the Dream-1 model. The company was led by Joel Jang, who led the GR00T…
Telegram — AI Machine Learning Big Data
Infrastructure1 мин
Blackstone’s Jas Khaira says fears over AI-buildout debt are overblown
Blackstone’s AI head on why the PE giant isn't panicked by market jitters.
TechCrunch — AI
Infrastructure1 мин
Data centers could erase decades of air quality gains
A rush of new data centers could bring air pollution roaring back to levels not seen since the 2000s in Texas, which has become ground zero for the physical infrastructure behind generative AI. New and proposed data centers are demanding a tremendous amount of electricity. How…
The Verge — AI
Research1 мин
NVIDIA Kumo Relational Outperforms Supervised Machine Learning on Relational Data, No Training Required
A Blog post by NVIDIA on Hugging Face
Hugging Face Blog
Infrastructure1 мин
AI Breakthroughs Everyone Missed
So every week I like to make an end of week AI news breakdown video where I share everything that happened in the world of AI for the week. Usually those videos are very focused on some of the bigger labs. They're the ones that get most of the news. OpenAI, Anthropic, Microsoft,…
YouTube — Matt Wolfe
Infrastructure1 мин
NVIDIA вместе с Нобелевским лауреатом выпустили ИИ-модель для дизайна биомолекул, которая в вычислительных тестах обх...
NVIDIA вместе с Нобелевским лауреатом выпустили ИИ-модель для дизайна биомолекул, которая в вычислительных тестах обходит конкурентов по доле успеха и скорости Команда Дэвида Бейкера и Nvidia опубликовали веса и код своей ИИ-модели RFD4-Proteina. Модель работает в общем…
Telegram — blockchainRF (блокчейн / мозг / space / WEB 3.0)
Infrastructure1 мин
If you have two or three Macs at home and want to run a large AI model locally, the memory on one computer may not be enough.
If you have two or three Macs at home and want to run a large AI model locally, the memory on one computer may not be enough. exo allows you to combine multiple devices into one AI cluster. A model that does not fit into the memory of one computer can be distributed among several...
GitHub Разработчика
Startups1 мин
Jensen Huang’s Vision for Europe Runs on Plug-In Data Centers
At Nvidia’s GTC in Berlin, Huang unveiled the company’s new plug-in data center—the DSX Pod—as the key to unlocking Europe’s AI infrastructure lag. Oh, and autonomous humanoid robotics.
Wired — Artificial Intelligence
Infrastructure1 мин
Mistral and Nvidia want to speed up industrial design with physics AI
Mistral and Nvidia are teaming up to speed up engineering simulations and industrial product design with AI. The article Mistral and Nvidia want to speed up industrial design with physics AI appeared first on The Decoder.
The Decoder
Research1 мин
Anthropic может потратить более $750 млрд на облачные мощности — но их всё равно не хватает
💸 Anthropic может потратить более $750 млрд на облачные мощности — но их всё равно не хватает По данным The Wall Street Journal, создатель Claude столкнулся с нехваткой вычислительных ресурсов у AWS, Google и Microsoft. При этом облачные гиганты всё чаще воспринимают Anthropic…
Telegram — GPT Time | Нейросети | ИИ
Infrastructure1 мин
Nvidia's DSX POD could cut AI data center setup from six months to as little as 14 days
Nvidia wants AI data centers to ship fully preassembled in containers. The article Nvidia's DSX POD could cut AI data center setup from six months to as little as 14 days appeared first on The Decoder.
The Decoder
Infrastructure1 мин
NVIDIA разработала RFD4-Proteina для проектирования белков с помощью ИИ
NVIDIA разработала RFD4-Proteina для проектирования белков с помощью ИИ.
SMNTCN (Semanticon) — глобальные новости ИИ