All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
Okay, so let's spin the ball now since I did an update on my new startup SigOpt Intelligence. So today I wanted to see what can we actually use SigOpt for now to kind of try to predict the stock market. So I thought what kind of experiments can I actually do to do that? So I…
Welcome to this conference of course on the semiconductor supply chain where you will learn how a chip moves from design to the data center. You will learn all about semiconductor physics, design, fabrication, memory, packaging, and rack scale integration. Your instructor Kon…
You have to question their intentions and where they are coming from and what game they are trying to play. Every argument that these closed labs had about safety, security, let's slow it down. None of it is true. Everybody can see, oh, so you just want to ban the competition at…
So why is GPU changing analytical workloads? AI has relied on GPU for years to accelerate complex workloads. Now that same technology is beginning to change analytics. As teams analyze more data and support more AI workloads, traditional CPU-based analytics are becoming more and…
The largest AI models today can have over a trillion parameters, which would take something like two terabytes of memory to store. But the largest GPU on the market holds about 288GB, which is nowhere near enough to store these huge frontier models. So how are we running these…
Hi, I'm Rishi from AMD. Within distributed training, communication is one of the primary bottlenecks, and limiting the time spent on communication can massively boost end-to-end performance. We investigate this hypothesis by integrating work from the Rickle team to use…
Здравствуйте, я Лиз Ли из AMD. >> Здравствуйте, я Джек Хуай из AMD. >> Современные рабочие нагрузки ИИ зависят от растущего спектра специализированных ядер GPU, и ни один бэкенд генерации ядер не является оптимальным для всех форм операторов и архитектур. Мы исследуем эту…
Hey folks, my name's Steve. Um, I work at Red Hat in the open source AI programs office and I really want to encourage you to come join us at PyTorch conference in San Jose this year. There's a lot of reasons to go, everything from PyTorch in um, we're going to be doing a…
Hi everyone. I am Guray, compiler engineer in Nvidia, and I'm going to share our recent improvements to CUTLASS for Python. CUTLASS for Python is our technology stack for writing speed of light kernels for the latest generations of GPUs and can be found under the hood today's…
Yeah, I think it's a really cool paper. Um, I think we've talked a bit about this before or like I think it has been a bit in the in the common discourse that like now that implementation is sped up so much, um, like the the value that researchers can provide is more in their…
Научная корпорация имплантировала чип для восстановления зрения первому пациенту с болезнью Старгардта.
NVIDIA Developer сообщает об ускорении UDF для Apache Spark с помощью AI-агентов.
Satlyt has raised $8 million to develop software for satellites to use AI in space.
A Blog post by Liquid AI on Hugging Face
Optimizing the Mixture-of-Experts architecture on Amazon SageMaker AI has improved performance.
Satlyt wants to be the Android of orbital computing, offering open software that works on many companies' satellites, versus SpaceX's closed, all-in-one iPhone-style approach.
NVIDIA opens Run:ai platform for AI and GPU orchestration.
When Nvidia originally showed off DLSS 5 earlier this year, the technology immediately got branded as gen AI for video games. To gamers, Nvidia had lost the plot. I personally couldn't get over how faces were transformed using DLSS 5. The 15-year-old student from Hogwarts Legacy…
IBM Research демонстрирует, как ИИ может оптимизировать дизайн чипов, снижая затраты.
NVIDIA launches RTX Spark, combining PC, creative studio and AI supercomputer.
Today's turbulent day in the world of artificial intelligence has shown us how companies are rapidly developing and adapting new technologies. Microsoft announced the Maia 300 chip to reduce dependency
Anthropic: very soon small AI models will be able to self-replicate on smart ovens, TV boxes, etc. without access to data centers The authors studied autonomous replication and adaptation (ARA) - this is when the model itself deploys and distributes without human intervention,…
France is actively developing agent computing using NVIDIA technologies.
⚡️ Microsoft is betting on its chips: Maia will become the company's main inference platform From 2027, the company will scale the Maia family to multi-gigawatt deployments, and Maia will become the main inference system for its own products and services. At the same time...
AWS представил многонодовые контейнеры глубокого обучения Ray LLM для вывода.
🚀 Qwen introduced QwenGyre: training AI agents up to 1.85 times faster Modern agents can perform tasks for hours, generating hundreds of thousands of tokens. When training such systems, GPUs are often idle, and repeated trajectories waste computing resources. QwenGyre…
AWS Machine Learning представляет решение для развертывания моделей принятия решений с llama.cpp на Amazon SageMaker AI.
NVIDIA анонсировала новые стандарты и архитектуру для масштабирования ИИ-фабрик на саммите OCP.
Microsoft will make its in-house Azure Maia chips the main AI inference system across its products starting in 2027, deploying them at multi-gigawatt scale. The upcoming Maia 300 should deliver 40 percent more tokens per megawatt than leading GPU systems. CEO Satya Nadella calls…
🖥 В России предложили разрешить зарубежные GPU для критически важных систем Правительственная рабочая группа предложила временно разрешить использовать иностранные графические ускорители и ИИ-решения на объектах критической информационной инфраструктуры. Причина — нехватка…