As large language models (LLMs) continue to grow in size and complexity, the time it takes to load them from storage to accelerator memory for inference can become a significant bottleneck. This “cold start” problem isn’t just a minor delay — it’s a critical barrier to building resilient, scalable, and cost-effective AI services. Every minute …
Read more “Accelerate model downloads on GKE with NVIDIA Run:ai Model Streamer”
Automated interpretability aims to translate large language model (LLM) features into human understandable descriptions. However, these natural language feature descriptions are often vague, inconsistent, and require manual relabeling. In response, we introduce semantic regexes, structured language descriptions of LLM features. By combining primitives that capture linguistic and semantic feature patterns with modifiers for contextualization, composition, …
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Explore how AlphaFold has accelerated science and fueled a global wave of biological discovery.
Continuous cardiovascular monitoring can play a key role in precision health. However, some fundamental cardiac biomarkers of interest, including stroke volume and cardiac output, require invasive measurements, e.g., arterial pressure waveforms (APW). As a non-invasive alternative, photoplethysmography (PPG) measurements are routinely collected in hospital settings. Unfortunately, the prediction of key cardiac biomarkers from PPG instead …
The GKE Turns 10 Hackathon was an electrifying showcase of developer ingenuity! Building on the excitement from our initial announcement, the hackathon challenged participants to build powerful AI agents that interact with microservice applications using the robustness of Google Kubernetes Engine (GKE) and the intelligence of Google AI models like Gemini. The goal was to …
Read more “GKE Turns 10 Hackathon: Announcing the winners and highlights”
This post was written with Martyna Shallenberg and Brode Mccrady from Myriad Genetics. Healthcare organizations face challenges in processing and managing high volumes of complex medical documentation while maintaining quality in patient care. These organizations need solutions to process documents effectively to meet growing demands. Myriad Genetics, a provider of genetic testing and precision medicine solutions …
Telegram chatbots are rapidly gaining traction, with over 1.5 million bots already created. As one of the fastest-growing messaging platforms, Telegram boasts a user base exceeding 550 million globally, offering businesses an unparalleled opportunity to engage with their audience effectively. In an era where customers prefer direct communication, research from Social Media Today reveals that …
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TL;DR OpenAI and Jony Ive are developing a new AI-first device, and rather than guessing what it will be, this post explores what the ideal AI device should look like … a calm, discreet, deeply intelligent companion that augments daily life through design simplicity, ambient intelligence, and human-centered interaction. The Buzz and the Vision: The …
Under the Hood of NVIDIA and Palantir Turning Enterprise Data into Decision Intelligence On Tuesday, October 28 in Washington, DC, NVIDIA founder and CEO Jensen Huang announced our partnership and how we’ll be making NVIDIA models available through Palantir AIP — and pushing Ontology to the edge through NVIDIA’s accelerated compute. “Palantir and NVIDIA share a vision that …
Generative AI models continue to expand in scale and capability, increasing the demand for faster and more efficient inference. Applications need low latency and consistent performance without compromising output quality. Amazon SageMaker AI introduces new enhancements to its inference optimization toolkit that bring EAGLE based adaptive speculative decoding to more model architectures. These updates make …