# custom silicon Published articles for custom silicon. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Rivian's Gambit for Full Autonomy DevFeed: [Rivian's Gambit for Full Autonomy]() Original publisher: [Read original article]() Author: Lawrence Ulrich Published: 2026-09-08T13:00:04Z Content type: article Language: en Sources: [IEEE Spectrum]() Topics: [Artificial Intelligence](), [Computer science](), [systems]() Tags: [ai](), [autonomy](), [custom-silicon](), [level-4-autonomy](), [over-the-air-updates](), [rivian](), [rivian-r2](), [robotaxis](), [self-driving](), [self-driving-cars](), [tesla](), [transportation]() ### AI overview IEEE Spectrum examines Rivian's Autonomy+ system and its strategy for advancing self-driving vehicles with custom silicon. The article describes the system's planned capabilities, rollout to Rivian vehicles, pricing, over-the-air updates, and comparison with competing driver-assistance offerings. ### Source excerpt I'm sitting in a Rivian R1S SUV as it drives itself down the leafy streets of Palo Alto, Calif., through areas crowded with touchstones of tech history. We cruise near the landmark HP Garage, the one-car workshop where Hewlett-Packard, and, arguably, Silicon Valley, was founded in 1939. I skirt Stanford University, where a team led by computer science professor Sebastian Thrun won a US $2 million DARPA Grand Challenge in 2005. The team's Volkswagen SUV, named Stanley, became the world's first vehicle to navigate a grueling 212-kilometer Mojave Desert course with no human intervention. This Rivian might look like any other electric SUV in this affluent town, with its concentration of tech bros, venture capital, and startups. But inside this boxy EV is something special: an Autonomy+ system that will allow owners to enter an address, sit back, and let the vehicle drive to any mapped destination in the U.S. and Canada. This point-to-point system is one of the most advanced semiautonomous-driving systems coming to market. It is also a precursor of the company's bid to make self-driving cars a reality, for robotaxis and--eventually--for everyday car buyers. After years of incremental advances and frustrating setbacks, self-driving has been swept up in the great AI resurgence, and is now a top priority for investors and global automakers, who envision vast new streams of profits. So here I am, 21 years after that DARPA challenge, riding shotgun in Stanley's vastly more advanced descendant. Rivian's Autonomy+ is intended to operate seamlessly on suburban streets like these, sensing and responding to traffic lights, crosswalks, and stop signs. That point-to-point system is set to debut on Rivian's all-new R2 SUV by roughly the end of this year, and via over-the-air updates for its newest R1S and R1T models. Rivian says it will charge $49.99 a month, or $2,500 up front, versus Tesla's $99 per month for its rival system, which is somewhat misleadingly called Full Self-Driving ( ## Optics Still Driving Marvell's AI Business More Than Custom Chips DevFeed: [Optics Still Driving Marvell's AI Business More Than Custom Chips]() Original publisher: [Read original article]() Author: Timothy Prickett Morgan Published: 2026-09-02T17:59:47Z Content type: article Language: en Sources: [The Next Platform: In-depth coverage of high end computing]() Topics: [data centers](), [AI Networking](), [Network](), [Computing](), [Generative AI](), [Cloud]() Tags: [ai](), [ai-networking](), [aws](), [chip](), [computing](), [connect](), [custom-silicon](), [datacenter](), [google](), [marvell](), [networking](), [optics](), [xpu]() ### AI overview The article examines Marvell's AI-driven datacenter business, arguing that optical networking components and switching currently generate more sales than custom chips. It also discusses growth in AI networking, custom processors, and Marvell's position relative to Nvidia and Broadcom. ### Source excerpt The datacenter has become the dominate factor in driving the business of chip maker and chip shepher ... ## Peeling Apart That Supposed $120 Billion Chip Deal Google Inked With Marvell DevFeed: [Peeling Apart That Supposed $120 Billion Chip Deal Google Inked With Marvell]() Original publisher: [Read original article]() Author: Timothy Prickett Morgan Published: 2026-08-27T14:24:59Z Content type: news Language: en Sources: [The Next Platform: In-depth coverage of high end computing]() Topics: [Inference](), [Google](), [Generative AI](), [Cloud]() Tags: [accelerators](), [ai](), [ai-inference](), [chip](), [cloud](), [compute](), [custom-silicon](), [deal](), [google](), [kestrel](), [marvell](), [merope](), [network-interface](), [processing](), [query](), [silicon](), [storage](), [tpu]() ### AI overview The article examines a reported $120 billion Google-Marvell chip deal and explains that the disclosed agreement expands their custom silicon partnership through 2033. It covers custom products connected to Google's TPU ecosystem, including AI inference accelerators, storage and network controllers, memory interface controllers, and near-memory compute, while noting that reports about a specialized Merope inference chip remain uncertain. ### Source excerpt Another day, another big deal that pairs a tech titan with a chip shepherd or a chip supplier - some ... ## How Google's Axion CPUs Benefit The Cloud DevFeed: [How Google's Axion CPUs Benefit The Cloud]() Original publisher: [Read original article]() Author: Contributed by ARM Published: 2026-07-23T08:00:00Z Content type: article Language: en Sources: [The Next Platform: In-depth coverage of high end computing]() Topics: [Google](), [Cloud](), [cpu](), [Arm](), [armv9](), [cloud-infrastructure](), [data centers](), [Cache]() Tags: [arm](), [armv9](), [axion](), [cloud](), [compute](), [cpu](), [custom-silicon](), [datacenter](), [google](), [performance]() ### AI overview This partner-content article explains how Google's custom Axion Arm server CPUs are used in Google Cloud. It discusses their development, workload-specific performance and efficiency goals, and the Arm ecosystem and cache architecture underlying the processors. ### Source excerpt PARTNER CONTENT Google is the first of the hyperscalers, and many would argue the most innovati ...