News summary: New libraries in accelerated computing deliver order-of-magnitude speedups and reduce energy consumption and costs in data processing, generative AI, recommender systems, AI data curation, data processing, 6G research, AI-physics and more. They include: LLM applications: NeMo Curator, to create custom datasets, adds image curation and Nemotron-4 340B for high-quality synthetic data generation Data
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Quantum computers can use the quantum properties of superposition, entanglement, and interference to generalize learnings and insights from data. Such quantum…
Quantum computers can use the quantum properties of superposition, entanglement, and interference to generalize learnings and insights from data. Such quantum machine learning (QML) techniques will eventually run on quantum-accelerated supercomputers that combine the processing powers of CPUs, GPUs, and QPUs to solve some of the world’s most complex problems. Many QML algorithms offer…
NVIDIA AI Workbench is a free, user-friendly development environment manager that streamlines data science, ML, and AI projects on your system of choice: PC,…
NVIDIA AI Workbench is a free, user-friendly development environment manager that streamlines data science, ML, and AI projects on your system of choice: PC, workstation, datacenter, or cloud. You can develop, test, and prototype projects locally on Windows, macOS, and Ubuntu and easily transfer development environments and computational work between systems (local and remote) to optimize cost…
A deep technology conference for processor and system architects from industry and academia has become a key forum for the trillion-dollar data center computing market. At Hot Chips 2024 next week, senior NVIDIA engineers will present the latest advancements powering the NVIDIA Blackwell platform, plus research on liquid cooling for data centers and AI agents
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AI21 Labs has unveiled their latest and most advanced Jamba 1.5 model family, a cutting-edge collection of large language models (LLMs) designed to excel in a…
AI21 Labs has unveiled their latest and most advanced Jamba 1.5 model family, a cutting-edge collection of large language models (LLMs) designed to excel in a wide array of generative AI tasks. These models are capable of creating content, summarizing and comparing documents, and extracting valuable insights from vast datasets. This mixture of experts (MoE) model takes advantage of the…
Straight out of Gamescom, NVIDIA introduced GeForce NOW support for Xbox automatic sign-in, as well as Black Myth: Wukong from Game Science and a demo for the PC launch of FINAL FANTASY XVI from Square Enix — all available in the cloud today. There are more triple-A games coming to the cloud this GFN Thursday:
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Unsung Heroes of the Hugging Face Hub
Recommender systems play a crucial role in personalizing user experiences across various platforms. These systems are designed to predict and suggest items that…
Recommender systems play a crucial role in personalizing user experiences across various platforms. These systems are designed to predict and suggest items that users are likely to interact with, based on their past behavior and preferences. Building an effective recommender system involves understanding and leveraging huge, complex datasets that capture interactions between users and items.
Deploying AI-enabled applications and services presents enterprises with significant challenges: Performance is critical as it directly shapes user…
Deploying AI-enabled applications and services presents enterprises with significant challenges: Addressing these challenges requires a full-stack approach that can optimize performance, manage scalability effectively, and navigate the complexities of deployment, enabling organizations to maximize AI’s full potential while maintaining operational efficiency and cost-effectiveness.
As the use of large language models (LLMs) grows across many applications, such as chatbots and content creation, it’s important to understand the process of…
As the use of large language models (LLMs) grows across many applications, such as chatbots and content creation, it’s important to understand the process of scaling and optimizing inference systems to make informed decisions about hardware and resources for LLM inference. In the following talk, Dmitry Mironov and Sergio Perez, senior deep learning solutions architects at NVIDIA…