This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Our new blueprint for enabling our partners and end customers to bring more smarts to the edge was one of the highlights of Investor Day Everything around us is either already a lot smarter or aiming to […]
Qualcomm Technologies’ IoT Strategy: A New Approach, a New Opportunity Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. The Qualcomm Oryon CPU and the Snapdragon Elite name make its way to the automotive space, signaling its importance to Qualcomm Snapdragon Summit 2024 shifted gears on Tuesday and moved from the mobile world to the automotive
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 +
In the rapidly evolving world of semiconductors, chiplet technology is emerging as a groundbreaking approach that addresses many of the challenges faced by traditional monolithic System-on-Chip (SoC) designs. As Moore’s Law slows down, the semiconductor industry is seeking innovative solutions to increase performance and functionality without merely increasing transistor density, as detailed in the IDTechEx
Chiplets: Revolutionizing Semiconductor Design and Manufacturing 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 Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Qualcomm Technologies sets new standards in AI performance for its latest mobile, automotive and Qualcomm AI Hub advancements Our annual Snapdragon Summit wrapped up with exciting new announcements centered on the future of on-device artificial intelligence (AI).
Snapdragon Summit’s AI Highlights: A Look at the Future of On-device AI Read More +
This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Automotive OEMs are moving upstream in the semiconductor supply chain with diverse strategies. OUTLINE The automotive semiconductor market is expecting a significant CAGR of 11% between 2023 and 2029 to almost $100
Electrification and Autonomy: A Semiconductor Content Boost to $1,000 per Car by 2029 Read More +
As semiconductor packaging technologies evolve, advanced methods like 2.5D and 3D Cu-to-Cu hybrid bonding are essential for achieving higher performance and power efficiency. However, manufacturing these technologies to meet high performance and yield standards while fulfilling client requirements is complex. Challenges include developing the right materials and innovating packaging manufacturing techniques. IDTechEx‘s “Materials and Processing
Advanced Semiconductor Packaging: Key Materials and Processing Trends 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 +
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