DataBloom
Experience high-performance inference, usability, intuitive APIs, easy debugging with eager mode, clear error messages, and more.
Experience high-performance inference, usability, intuitive APIs, easy debugging with eager mode, clear error messages, and more.
NVIDIA and Red Hat have partnered to bring continued improvements to the precompiled NVIDIA Driver introduced in 2020. Last month, NVIDIA announced that the…
NVIDIA and Red Hat have partnered to bring continued improvements to the precompiled NVIDIA Driver introduced in 2020. Last month, NVIDIA announced that the open GPU driver modules will become the default recommended way to enable NVIDIA graphics hardware. Today, NVIDIA announced that Red Hat is now compiling and signing the NVIDIA open GPU kernel modules to further streamline the usage for…
AI-driven medicine could deliver life-saving snakebite treatments to the world’s most vulnerable.
In data science, operational efficiency is key to handling increasingly complex and large datasets. GPU acceleration has become essential for modern workflows,…
In data science, operational efficiency is key to handling increasingly complex and large datasets. GPU acceleration has become essential for modern workflows, offering significant performance improvements. RAPIDS is a suite of open-source libraries and frameworks developed by NVIDIA, designed to accelerate data science pipelines using GPUs with minimal code changes.
Neural rendering is the next era of computer graphics. By integrating neural networks into the rendering process, we can take dramatic leaps forward in…
Neural rendering is the next era of computer graphics. By integrating neural networks into the rendering process, we can take dramatic leaps forward in performance, image quality, and interactivity to deliver new levels of immersion. NVIDIA RTX Kit is a suite of neural rendering technologies to ray-trace games with AI, render scenes with immense geometry, and create game characters with…
Scientists repurpose speech recognition AI to decode seismic activity, uncovering patterns that could one day help predict earthquakes.
Hardware support for ray tracing triangle meshes was introduced as part of NVIDIA RTX in 2018. But ray tracing for hair and fur has remained a compute-intensive…
Hardware support for ray tracing triangle meshes was introduced as part of NVIDIA RTX in 2018. But ray tracing for hair and fur has remained a compute-intensive problem that has been difficult to further accelerate. That is, until now. NVIDIA GeForce 50 Series GPUs include a major advancement in the acceleration of ray tracing for hair and fur: hardware ray tracing support for the linear…