The Jetson Orin Nano Super delivers up to a 1.7x gain in generative AI performance, supporting popular models for hobbyists, developers and students. NVIDIA is taking the wraps off a new compact generative AI supercomputer, offering increased performance at a lower price with a software upgrade. The new NVIDIA Jetson Orin Nano Super Developer Kit, […]
NVIDIA Unveils Its Most Affordable Generative AI Supercomputer Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. A retrieval-augmented generation (RAG) application has exponentially higher utility if it can work with a wide variety of data types—tables, graphs, charts, and diagrams—and not just text. This requires a framework that can understand and generate responses
An Easy Introduction to Multimodal Retrieval-augmented Generation Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA RTX-accelerated AnythingLLM launches Community Hub for sharing prompts, slash commands and AI agent skills. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible, and showcases
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. New Project GR00T workflows and AI world model development technologies to accelerate robot dexterity, control, manipulation and mobility. Robotics developers can greatly accelerate their work on AI-enabled robots, including humanoids, using new AI and simulation tools and
NVIDIA Advances Robot Learning and Humanoid Development With New AI and Simulation Tools Read More +
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Autonomous vehicles, such as warehouse robots, rely on precise maneuvering. NVIDIA Jetson AGX Orin™-powered surround-view cameras provide a perfectly synchronized solution, allowing these robots to move freely within designated areas without requiring intensive manual intervention.
How NVIDIA Jetson AGX Orin Helps Unlock the Power of Surround-view Camera Solutions Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. In this blog post, we take a closer look at chunked prefill, a feature of NVIDIA TensorRT-LLM that increases GPU utilization and simplifies the deployment experience for developers. This builds on our previous post discussing how advanced
PolarFire® FPGA Ethernet Sensor Bridge provides low-power multi-sensor bridging to NVIDIA edge AI platforms CHANDLER, Ariz., November 14, 2024 — To enable developers building artificial intelligence (AI)-driven sensor processing systems, Microchip Technology (Nasdaq: MCHP) has released its PolarFire® FPGA Ethernet Sensor Bridge that works with the NVIDIA Holoscan sensor processing platform. PolarFire FPGAs enable multi-protocol
Microchip to Accelerate Real-time Edge AI with NVIDIA Holoscan Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. GPU offloading makes massive models accessible on local RTX AI PCs and workstations. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible, and showcases new hardware,
How to Accelerate Larger LLMs Locally on RTX With LM Studio Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Accenture, Dell Technologies and Lenovo are among the companies tapping a new NVIDIA AI Blueprint to develop visual AI agents that can boost productivity, optimize processes and create safer spaces. Enterprises and public sector organizations around the
Give AI a Look: Any Industry Can Now Search and Summarize Vast Volumes of Visual Data Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. In the field of automotive vehicle software development, more large-scale AI models are being integrated into autonomous vehicles. The models range from vision AI models to end-to-end AI models for autonomous driving. Now the demand for computing
Optimizing the CV Pipeline in Automotive Vehicle Development Using the PVA Engine Read More +
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