NVIDIA today announced ahead of the Game Developers Conference (GDC) groundbreaking enhancements to NVIDIA RTX™ neural rendering technologies.
Parallel thread execution (PTX) is a virtual machine instruction set architecture that has been part of CUDA from its beginning. You can think of PTX as the…
Parallel thread execution (PTX) is a virtual machine instruction set architecture that has been part of CUDA from its beginning. You can think of PTX as the assembly language of the NVIDIA CUDA GPU computing platform. In this post, we’ll explain what that means, what PTX is for, and what you need to know about it to make the most of CUDA for your applications. We’ll start by walking through…
Building AI systems with foundation models requires a delicate balancing of resources such as memory, latency, storage, compute, and more. One size does not fit…
Building AI systems with foundation models requires a delicate balancing of resources such as memory, latency, storage, compute, and more. One size does not fit all for developers managing cost and user experience when bringing generative AI capability to the rapidly growing ecosystem of AI-powered applications. You need options for high-quality, customizable models that can support large…
The NVIDIA Grace CPU Superchip delivers outstanding performance and best-in-class energy efficiency for CPU workloads in the data center and in the cloud. The…
The NVIDIA Grace CPU Superchip delivers outstanding performance and best-in-class energy efficiency for CPU workloads in the data center and in the cloud. The benefits of NVIDIA Grace include high-performance Arm Neoverse V2 cores, fast NVIDIA-designed Scalable Coherency Fabric, and low-power high-bandwidth LPDDR5X memory. These features make the Grace CPU ideal for data processing with…
With the recent advancements in generative AI and vision foundational models, VLMs present a new wave of visual computing wherein the models are capable of…
With the recent advancements in generative AI and vision foundational models, VLMs present a new wave of visual computing wherein the models are capable of highly sophisticated perception and deep contextual understanding. These intelligent solutions offer a promising means of enhancing semantic comprehension in XR settings. By integrating VLMs, developers can significantly improve how XR…
Large language models (LLMs) have shown remarkable generalization capabilities in natural language processing (NLP). They are used in a wide range of…
Large language models (LLMs) have shown remarkable generalization capabilities in natural language processing (NLP). They are used in a wide range of applications, including translation, digital assistants, recommendation systems, context analysis, code generation, cybersecurity, and more. In automotive applications, there is growing demand for LLM-based solutions for both autonomous driving and…
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Optimizing Compile Times for CUDA C++
In modern software development, time is an incredibly valuable resource, especially during the compilation process. For developers working with CUDA C++ on…
In modern software development, time is an incredibly valuable resource, especially during the compilation process. For developers working with CUDA C++ on large-scale GPU-accelerated applications, optimizing compile times can significantly enhance productivity and streamline the entire development cycle. When using the compiler for offline compilation, efficient compilation times enable…
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Utah to Advance AI Education, Training
A new AI education initiative in the State of Utah, developed in collaboration with NVIDIA, is set to advance the state’s commitment to workforce training and economic growth. The public-private partnership aims to equip universities, community colleges and adult education programs across Utah with the resources to develop skills in generative AI. “AI will continue
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