Now available—NIM Agent Blueprints for digital humans, multimodal PDF data extraction, and drug discovery.
Now available—NIM Agent Blueprints for digital humans, multimodal PDF data extraction, and drug discovery.
NVIDIA today announced NVIDIA NIM™ Agent Blueprints, a catalog of pretrained, customizable AI workflows that equip millions of enterprise developers with a full suite of software for building and deploying generative AI applications for canonical use cases, such as customer service avatars, retrieval-augmented generation and drug discovery virtual screening.
The initial wave of generative AI was driven by its use in internet services that showed incredible new possibilities with tools that could help people write, research and imagine faster than ever. The second wave of generative AI is now here, powered by the availability of advanced open-source foundation models, as well as advancements in
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Aiming at making the process faster and smarter, NVIDIA on Wednesday released the NIM Agent Blueprint for generative AI-based virtual screening. This innovative approach will reduce the time and cost of developing life-saving drugs, enabling quicker access to critical treatments for patients. This NIM Agent Blueprint introduces a paradigm shift in the drug discovery process,
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Nations around the world are pursuing sovereign AI to produce artificial intelligence using their own computing infrastructure, data, workforce and business networks to ensure AI systems align with local values, laws and interests. In support of these efforts, NVIDIA today announced the availability of four new NVIDIA NIM microservices that enable developers to more easily
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Large language models (LLMs) are emerging as a tool for safeguarding critical infrastructure systems, such as renewable energy, healthcare, or transportation,…
Large language models (LLMs) are emerging as a tool for safeguarding critical infrastructure systems, such as renewable energy, healthcare, or transportation, according to a new study from the Massachusetts Institute of Technology (MIT). The research introduces a zero-shot LLM model that detects anomalies in complex data. Using AI-driven diagnostics for monitoring and flagging potential…
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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