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 已筹集 800 万美元用于开发卫星软件，以便在太空中使用人工智能。
A Blog post by Liquid AI on Hugging Face
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.
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…
人择：很快小型人工智能模型将能够在智能烤箱、电视盒等上进行自我复制，而无需访问数据中心作者研究了自主复制和适应（ARA）——这是模型本身在没有人工干预的情况下部署和分发的时候，……
⚡️微软押注自家芯片：Maia将成为公司主要推理平台从2027年开始，该公司将把Maia家族规模扩大到数千兆瓦部署，Maia将成为自家产品和服务的主要推理系统。同时...
AWS представил многонодовые контейнеры глубокого обучения Ray LLM для вывода.
🚀 Qwen 推出了 QwenGyre：训练 AI 代理的速度提高了 1.85 倍 现代代理可以执行数小时的任务，生成数十万个代币。在训练此类系统时，GPU 经常闲置，重复的轨迹会浪费计算资源。而且，奎温吉尔…
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.
从 2027 年开始，微软将使其内部的 Azure Maia 芯片成为其产品的主要人工智能推理系统，并以数千兆瓦的规模进行部署。即将推出的 Maia 300 每兆瓦的代币数量应比领先的 GPU 系统多 40%。首席执行官萨蒂亚·纳德拉 (Satya Nadella) 致电...
🖥 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…