In the rapidly evolving field of software development, AI tools such as chatbots and GitHub Copilot have significantly transformed how developers write and…
Categories
Enabling Quantum Computing with AI
Building a useful quantum computer in practice is incredibly challenging. Significant improvements are needed in the scale, fidelity, speed, reliability, and…
Building a useful quantum computer in practice is incredibly challenging. Significant improvements are needed in the scale, fidelity, speed, reliability, and programmability of quantum computers to fully realize their benefits. Powerful tools are needed to help with the many complex physics and engineering challenges that stand in the way of useful quantum computing.
NVIDIA CUDA-Q (formally NVIDIA CUDA Quantum) is an open-source programming model for building quantum accelerated supercomputing applications that take full…
NVIDIA CUDA-Q (formally NVIDIA CUDA Quantum) is an open-source programming model for building quantum accelerated supercomputing applications that take full advantage of CPU, GPU, and QPU compute abilities. Developing these applications today is challenging and requires an easy-to-use coding environment coupled with powerful quantum simulation capabilities to efficiently evaluate and improve the…
Lattice structures are naturally and artificially made designs that are important in many scientific fields, such as materials science, aerospace engineering,…
Lattice structures are naturally and artificially made designs that are important in many scientific fields, such as materials science, aerospace engineering, and biomedical engineering. They are made by repeating patterns that connect smaller truss structures and yield a high strength-to-weight ratio. The rise of 3D printing within additive manufacturing has highlighted the significance of…
CUDA Graphs can provide a significant performance increase, as the driver is able to optimize execution using the complete description of tasks and…
CUDA Graphs can provide a significant performance increase, as the driver is able to optimize execution using the complete description of tasks and dependencies. Graphs provide incredible benefits for static workflows where the overhead of graph creation can be amortized over many successive launches. However, nearly all problems involve some form of decision-making…
Categories
Explainer: What Is Artificial Intelligence?
In its most fundamental form, AI is the capability of a computer program or a machine to think, learn, and take action without being explicitly encoded with…
In its most fundamental form, AI is the capability of a computer program or a machine to think, learn, and take action without being explicitly encoded with commands.
Meet Media.Monks’ Wormhole, an alien-like, conversational robot with a quirky personality and the ability to offer keen marketing expertise. Lewis Smithingham, senior vice president of innovation and special ops at Media.Monks, a global marketing and advertising company, discusses the creation of Wormhole and AI’s potential to enhance media and entertainment with host Noah Kravitz in
Read Article
In our previous exploration of graph analytics, we uncovered the transformative power of GPU-CPU fusion using NVIDIA cuGraph. Building upon those insights, we…
In our previous exploration of graph analytics, we uncovered the transformative power of GPU-CPU fusion using NVIDIA cuGraph. Building upon those insights, we now introduce a revolutionary new architecture that redefines the boundaries of graph processing. During our earlier foray into graph analytics, we faced various challenges with the architecture we utilized. While effective…
Gear up, Trailblazers — Honkai: Star Rail lands on GeForce NOW this week, along with an in-game reward for members to celebrate the title’s launch in the cloud. Stream it today, along with five new games joining the GeForce NOW library of more than 1,900 titles this week. Five Stars Take a galactic journey in
Read Article
In the fast-evolving landscape of generative AI, the demand for accelerated inference speed remains a pressing concern. With the exponential growth in model…
In the fast-evolving landscape of generative AI, the demand for accelerated inference speed remains a pressing concern. With the exponential growth in model size and complexity, the need to swiftly produce results to serve numerous users simultaneously continues to grow. The NVIDIA platform stands at the forefront of this endeavor, delivering perpetual performance leaps through innovations across…