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Agentic AI workflows often involve the execution of large language model (LLM)-generated code to perform tasks like creating data visualizations. However, this…
Agentic AI workflows often involve the execution of large language model (LLM)-generated code to perform tasks like creating data visualizations. However, this code should be sanitized and executed in a safe environment to mitigate risks from prompt injection and errors in the returned code. Sanitizing Python with regular expressions and restricted runtimes is insufficient…
On Jan. 6 at 6:30 p.m. PT, NVIDIA founder and CEO Jensen Huang — with his trademark leather jacket and an unwavering vision — will step onto the CES 2025 stage. From humble beginnings as a busboy at a Denny’s to founding NVIDIA, Huang’s story embodies innovation and perseverance. Huang has been named the world’s
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2024 was another landmark year for developers, researchers, and innovators working with NVIDIA technologies. From groundbreaking developments in AI inference to…
2024 was another landmark year for developers, researchers, and innovators working with NVIDIA technologies. From groundbreaking developments in AI inference to empowering open-source contributions, these blog posts highlight the breakthroughs that resonated most with our readers. NVIDIA NIM Offers Optimized Inference Microservices for Deploying AI Models at Scale Introduced in…
Data is the lifeblood of modern enterprises, fueling everything from innovation to strategic decision making. However, as organizations amass ever-growing…
Data is the lifeblood of modern enterprises, fueling everything from innovation to strategic decision making. However, as organizations amass ever-growing volumes of information—from technical documentation to internal communications—they face a daunting challenge: how to extract meaningful insights and actionable structure from an overwhelming sea of unstructured data.
Building a multimodal retrieval augmented generation (RAG) system is challenging. The difficulty comes from capturing and indexing information from across…
Building a multimodal retrieval augmented generation (RAG) system is challenging. The difficulty comes from capturing and indexing information from across multiple modalities, including text, images, tables, audio, video, and more. In our previous post, An Easy Introduction to Multimodal Retrieval-Augmented Generation, we discussed how to tackle text and images. This post extends this conversation…
With the latest release of Warp 1.5.0, developers now have access to new tile-based programming primitives in Python. Leveraging cuBLASDx and cuFFTDx, these new…
With the latest release of Warp 1.5.0, developers now have access to new tile-based programming primitives in Python. Leveraging cuBLASDx and cuFFTDx, these new tools provide developers with efficient matrix multiplication and Fourier transforms in Python kernels for accelerated simulation and scientific computing. In this blog post, we’ll introduce these new features and show how they can be used…
Meshes are one of the most important and widely used representations of 3D assets. They are the default standard in the film, design, and gaming industries and…
Meshes are one of the most important and widely used representations of 3D assets. They are the default standard in the film, design, and gaming industries and they are natively supported by virtually all the 3D softwares and graphics hardwares. A 3D mesh can be considered as a collection of polygon faces, most commonly consisting of triangles or quadrilaterals.