L4 GPU – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-03T22:20:47Z http://www.open-lab.net/blog/feed/ Elias Wolfberg <![CDATA[Startups Use AI to Deliver Better Maternal and Newborn Care]]> http://www.open-lab.net/blog/?p=98486 2025-04-22T23:55:26Z 2025-04-07T17:55:39Z Nearly 300,000 women across the globe die each year due to complications arising from pregnancy or childbirth. The number of stillborns and babies that die...]]> Nearly 300,000 women across the globe die each year due to complications arising from pregnancy or childbirth. The number of stillborns and babies that die...An image of a women getting an ultrasound.

Nearly 300,000 women across the globe die each year due to complications arising from pregnancy or childbirth. The number of stillborns and babies that die within their first month tops nearly 4M every year. April 7 marks World Health Day, which this year focuses on raising awareness about efforts to end preventable maternal and newborn deaths. Giving women and infants better access to��

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Michelle Horton <![CDATA[Strengthening Climate Resilience with AI-Powered Flood Modeling and 3D Visualizations]]> http://www.open-lab.net/blog/?p=95028 2025-01-29T20:21:30Z 2025-01-15T17:51:39Z AI-driven flood modeling and 3D visualization tools are transforming how communities prepare for and respond to climate risks. In this NVIDIA GTC 2024 session,...]]> AI-driven flood modeling and 3D visualization tools are transforming how communities prepare for and respond to climate risks. In this NVIDIA GTC 2024 session,...An aerial view of a flooded town.

AI-driven flood modeling and 3D visualization tools are transforming how communities prepare for and respond to climate risks. In this NVIDIA GTC 2024 session, Guy Schumann and Guillaume Gallion from RSS-Hydro explore how next-generation geospatial applications and high-fidelity visualizations, including NVIDIA Omniverse, can enhance disaster resilience by providing dynamic tools for decision��

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Elias Wolfberg <![CDATA[AI Vision Helps Green Recycling Plants]]> http://www.open-lab.net/blog/?p=94421 2025-01-07T20:18:07Z 2024-12-19T20:20:23Z Each year, the world recycles only around 13% of its two billion-plus tons of municipal waste. By 2050, the world's annual municipal waste will reach 3.88B...]]> Each year, the world recycles only around 13% of its two billion-plus tons of municipal waste. By 2050, the world's annual municipal waste will reach 3.88B...Images on a conveyor belt identifed with computer vision.

Each year, the world recycles only around 13% of its two billion-plus tons of municipal waste. By 2050, the world��s annual municipal waste will reach 3.88B tons. But the global recycling industry is far from efficient. Annually, as much as $120B of potentially recoverable plastic��let alone paper or metals��ends up in landfills rather than within new products made with recycled materials.

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Nick Becker <![CDATA[RAPIDS cuDF Instantly Accelerates pandas up to 50x?on Google Colab]]> http://www.open-lab.net/blog/?p=82534 2024-05-30T19:55:55Z 2024-05-14T20:30:00Z At Google I/O'24, Laurence Moroney, head of AI Advocacy at Google, announced that RAPIDS cuDF is now integrated into Google Colab. Developers can now instantly...]]> At Google I/O'24, Laurence Moroney, head of AI Advocacy at Google, announced that RAPIDS cuDF is now integrated into Google Colab. Developers can now instantly...An illustration for RAPIDS.

At Google I/O��24, Laurence Moroney, head of AI Advocacy at Google, announced that RAPIDS cuDF is now integrated into Google Colab. Developers can now instantly accelerate pandas code up to 50x on Google Colab GPU instances, and continue using pandas as data grows��without sacrificing performance. RAPIDS cuDF is a GPU DataFrame library that accelerates the data processing tool pandas with zero��

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Sagar Singh <![CDATA[Increasing Throughput and Reducing Costs for AI-Based Computer Vision with CV-CUDA]]> http://www.open-lab.net/blog/?p=63947 2023-10-25T23:51:23Z 2023-05-04T19:26:16Z Real-time cloud-scale applications that involve AI-based computer vision are growing rapidly. The use cases include image understanding, content creation,...]]> Real-time cloud-scale applications that involve AI-based computer vision are growing rapidly. The use cases include image understanding, content creation,...

Real-time cloud-scale applications that involve AI-based computer vision are growing rapidly. The use cases include image understanding, content creation, content moderation, mapping, recommender systems, and video conferencing. However, the compute cost of these workloads is growing too, driven by demand for increased sophistication in the processing. The shift from still images to video is��

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Charu Chaubal <![CDATA[NVIDIA-Certified Next-Generation Computing Platforms for AI, Video, and Data Analytics Performance]]> http://www.open-lab.net/blog/?p=62293 2023-05-24T00:03:47Z 2023-03-22T16:00:00Z The business applications of GPU-accelerated computing are set to expand greatly in the coming years. One of the fastest-growing trends is the use of generative...]]> The business applications of GPU-accelerated computing are set to expand greatly in the coming years. One of the fastest-growing trends is the use of generative...Next-generation computing graphic

The business applications of GPU-accelerated computing are set to expand greatly in the coming years. One of the fastest-growing trends is the use of generative AI for creating human-like text and all types of images. Driving the explosion of market interest in generative AI are technologies such as transformer models that bring AI to everyday applications, from conversational text to��

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Abhishek Verma <![CDATA[Supercharging AI Video and AI Inference Performance with NVIDIA L4 GPUs]]> http://www.open-lab.net/blog/?p=62109 2023-10-25T23:51:25Z 2023-03-21T17:00:00Z NVIDIA T4 was introduced 4 years ago as a universal GPU for use in mainstream servers. T4 GPUs achieved widespread adoption and are now the highest-volume...]]> NVIDIA T4 was introduced 4 years ago as a universal GPU for use in mainstream servers. T4 GPUs achieved widespread adoption and are now the highest-volume...Picture of L4 GPU on a black background.

NVIDIA T4 was introduced 4 years ago as a universal GPU for use in mainstream servers. T4 GPUs achieved widespread adoption and are now the highest-volume NVIDIA data center GPU. T4 GPUs were deployed into use cases for AI inference, cloud gaming, video, and visual computing. At the NVIDIA GTC 2023 keynote, NVIDIA introduced several inference platforms for AI workloads��

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