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Fly News Breaks for November 18, 2015
BRCM, NXPI
Nov 18, 2015 | 08:14 EDT
FBR Capital analyst Christopher Rolland replaced Broadcom (BRCM) with NXP Semiconductors (NXPI) on his firm's Top Picks list. The analyst saw a stabilization of lead times for NXP in October and thinks a two-quarter inventory drawdown could drive a better than expected "bounceback" beginning in Q2 or Q3 of 2016. He lowered his price target for shares to $105 from $115 and keeps an Outperform rating on the name. Rolland has an Outperform rating on Broadcom with a $58 price target.
News For NXPI;BRCM From the Last 2 Days
NXPI
Mar 18, 2024 | 18:41 EDT
The company stated: "At NVIDIA GTC, NXP Semiconductors (NXPI) announced a collaboration with NVIDIA (NVDA) that enables NVIDIA's trained AI models to be deployed on NXP's broad portfolio of edge processing devices through the eIQ machine learning development environment. This exciting enablement offers developers the ability to accelerate development in the increasingly competitive world of AI, made possible by the functional integration of the NVIDIA TAO Toolkit into the NXP's eIQ machine learning development environment. NXP is the first semiconductor vendor to integrate the NVIDIA TAO APIs directly within an AI enablement offering to make it easier for developers to deploy trained AI models at the edge. Simplifying the training and deployment of AI models is one of the biggest challenges facing today's AI developers. To address this challenge, NXP collaborated with NVIDIA to integrate the NVIDIA TAO APIs directly within NXP's eIQ machine learning development environment. The NVIDIA TAO low-code AI framework makes it easier to leverage trained AI models and fine tune them for specific uses with transfer learning, while NXP's eIQ development environment eases the deployment of these models to the edge through a combination of software, inference engines, neural network compilers and optimized libraries. As a result of this integration, customers benefit from accelerated AI development, access to a library of pre-tested AI models, and the ability to deploy them on NXP's wide portfolio of edge processors."