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Enhance Your Models in 5 Minutes with the Hugging Face Kernel Hub

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Driving Toward Billion-Cell Analysis and Biological Breakthroughs with RAPIDS-singlecell

Decorative image.The future of cell biology and virtual cell models is dependent on measuring and analyzing data at scale. Single-cell experiments have been growing at an…Decorative image.

The future of cell biology and virtual cell models is dependent on measuring and analyzing data at scale. Single-cell experiments have been growing at an incredible rate over the last 10 years, beginning with hundreds of cells and now moving towards new data generation efforts with billions of cells. With virtual cell models, billions of virtual cells are also being generated.

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Featherless AI on Hugging Face Inference Providers 🔥

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NVIDIA TensorRT Boosts Stable Diffusion 3.5 Performance on NVIDIA GeForce RTX and RTX PRO GPUs

Generative AI has reshaped how people create, imagine and interact with digital content. As AI models continue to grow in capability and complexity, they require more VRAM, or video random access memory. The base Stable Diffusion 3.5 Large model, for example, uses over 18GB of VRAM — limiting the number of systems that can run
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Turn RTX ON With 40% Off Performance Day Passes

Level up GeForce NOW experiences this summer with 40% off Performance Day Passes. Enjoy 24 hours of premium cloud gaming with RTX ON, delivering low latency and shorter wait times. The hot deal comes just in time for the cloud’s highly anticipated launch of Dune: Awakening — a multiplayer survival game on a massive scale
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Run High-Performance AI Applications with NVIDIA TensorRT for RTX

A decorative image.NVIDIA TensorRT for RTX is now available for download as an SDK that can be integrated into C++ and Python applications for both Windows and Linux. At…A decorative image.

NVIDIA TensorRT for RTX is now available for download as an SDK that can be integrated into C++ and Python applications for both Windows and Linux. At Microsoft Build, we unveiled this streamlined solution for high-performance AI inference that supports NVIDIA GeForce RTX GPUs from NVIDIA Turing through NVIDIA Blackwell generations, including the latest NVIDIA RTX PRO lineup.

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NVIDIA Holoscan Sensor Bridge Empowers Developers with Real-Time Data Processing

Decorative image.In the rapidly evolving robotics and edge AI landscape, the ability to efficiently process and transfer sensor data is crucial. Many edge applications are…Decorative image.

In the rapidly evolving robotics and edge AI landscape, the ability to efficiently process and transfer sensor data is crucial. Many edge applications are moving away from single-sensor fixed-function solutions and in favor of diverse sensor arrays. These include vision, audio, temperature, force/torque, and communication sensors, IMUs, idaradar systems, ultrasounds, motors, and actuators.

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NVIDIA Stockholder Meeting Set for June 25; Individuals Can Participate Online

SANTA CLARA, Calif., June 11, 2025 (GLOBE NEWSWIRE) — NVIDIA today announced it will hold its 2025 Annual Meeting of Stockholders online on Wednesday, June 25, at 9 a.m. PT. The meeting will …

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Advancing Literature Review & Target Discovery With NVIDIA Biomedical AI-Q Research Agent Blueprint

Biomedical research and drug discovery have long been constrained by labor-intensive processes. In order to kick-off a drug discovery campaign, researchers…

Biomedical research and drug discovery have long been constrained by labor-intensive processes. In order to kick-off a drug discovery campaign, researchers typically comb through numerous scientific papers for details about known protein targets and small molecule pairs. Reading—and deeply comprehending—a single paper takes one to six hours, while summarizing findings without AI assistance…

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Accelerated Molecular Modeling with NVIDIA cuEquivariance and NVIDIA NIM microservices

cuEquivariance expands to accelerate next-gen protein structure modelsThe emergence of models like AlphaFold2 has skyrocketed the demand for faster inference and training of molecular AI models. The need for speed comes with…cuEquivariance expands to accelerate next-gen protein structure models

The emergence of models like AlphaFold2 has skyrocketed the demand for faster inference and training of molecular AI models. The need for speed comes with unique computational challenges, including algorithmic complexity, memory efficiency, and strict accuracy requirements. To address this, NVIDIA collaborated with partners to provide accelerated solutions like faster equivariant operations and…

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