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<\/p>\nApril 17, 2026 <\/p>\n
By Nehal Malik<\/p>\n
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Tesla is wasting no time getting its most advanced software into the hands of European drivers. Just a week after Full Self-Driving (Supervised) was approved in the Netherlands<\/a>, the automaker has not only started rolling it out but is also reportedly offering free trials to local owners to kickstart adoption in the region.<\/p>\n According to reports from industry watcher @TSLA_inside_<\/a>, several Tesla drivers in the Netherlands have confirmed seeing a free FSD trial appear on their vehicle touchscreens since the release began. While the rollout currently appears random (and is limited to AI4 vehicles), not to mention it hasn’t reached the entire fleet yet, this move follows a familiar pattern Tesla uses when entering a new autonomous market.<\/p>\n A Proven Strategy for FSD Uptake<\/p>\n Free trials are a pivotal tool for Tesla. They allow anyone with a compatible vehicle to test the system’s capabilities on their local roads before committing to a monthly subscription<\/a>. Interestingly, while North America moved to a subscription-only model<\/a> earlier this year, Dutch owners still have the option for a one-time outright purchase. We expect the same will be the case in other European regions when FSD availability starts expanding across the continent. <\/p>\n Tesla has a storied history of using these trials to increase uptake, generally coinciding with major updates or an entry into a new market. We saw a massive push last fall with the launch of FSD v14.2<\/a>, and the company also launched a 30-day free trial<\/a> when the feature first arrived in Australia and New Zealand. It is important to note for new testers that, as of last year, Tesla now pauses free trials<\/a> if your car is in for service, ensuring you don’t lose any of your evaluation time.<\/p>\n Tailored for European Roads<\/p>\n The version of the software rolling out in the Netherlands<\/a> is FSD v14.2.2.5, delivered via software update 2026.3.6<\/a>. While North America is already on v14.3<\/a>, this specific build has been tailored to meet the strict regulatory requirements of the European market. It includes unique UI elements<\/a> and changes designed for complex European intersections and traffic laws.<\/p>\n Dutch owners must also jump through a few extra hoops before they can engage the system for the first time. To ensure safety and regulatory compliance, Tesla requires a mandatory tutorial<\/a> and a short quiz. Only after passing the quiz and watching the video can the “Start Self-Driving” button be activated on the screen.<\/p>\n The Domino Effect Begins<\/p>\n The launch of FSD and accompanying free trials in the Netherlands is likely the first step in a much larger European expansion. Tesla’s AI leadership<\/a> believes that Dutch approval will create a domino effect across the continent, as many other nations look to the RDW to lead the way in automotive type-approvals.<\/p>\n By giving Dutch drivers a “taste” of the system now, Tesla is building a library of real-world European driving data that will help refine future versions like v15. If the trial rollout continues at this pace, we could see FSD (Supervised) become a common sight across the rest of the European Union by the end of the year.<\/p>\n Subscribe to our newsletter to stay up to date on the latest Tesla news, upcoming features and software updates.<\/p>\n April 16, 2026 <\/p>\n By Nehal Malik<\/p>\n Elon Musk is not letting up on Tesla\u2019s relentless pursuit of computational dominance. Just hours after confirming that the next-generation AI5 chip has officially finished its design phase, Musk took to X to share some eye-watering specs for its successor: AI6.<\/p>\n According to Musk, the AI6 chip will feature a massive performance leap, delivering a “true doubling of performance over AI5.” This progress is particularly impressive considering a single AI5 chip is expected to offer five times as much raw compute power as current AI4 hardware (which features a dual-SoC design), despite it being a rush job. Musk admitted<\/a> that the team “had to make several design concessions to move fast,” even though they managed to finish the design 45 days ahead of schedule. Musk added that AI6 will address those early shortcuts while introducing “many new great ideas.”<\/p>\n The Architectural Step-Change: AI6 and AI6.5<\/p>\n AI6 won\u2019t just be an incremental bump; it represents a generational shift in how Tesla handles memory and processing. While Samsung was originally expected to be the sole producer after a massive $16 billion deal last year<\/a>, Musk has also revealed a surprise “mid-cycle” refresh: AI6.5.<\/p>\n The standard AI6 chip will be manufactured using Samsung\u2019s 2nm process at its new facility in Taylor, Texas. However, AI6.5 will see production shift to TSMC\u2019s 2nm process in Arizona to further eke out performance. This dual-sourcing strategy suggests that Tesla is looking to leverage the slight technical advantages of different foundries to keep its lead. Both chips will transition to LPDDR6 memory, moving beyond the LPDDR5 (or LPDDR5X) expected in AI5<\/a>, providing the massive bandwidth required for the next generation of neural networks.<\/p>\n The SRAM Secret Sauce<\/p>\n One of the most technical details shared by Musk involves how these chips handle data. Both AI6 and AI6.5 dedicate about half of their TRIP AI computation accelerators to SRAM, which is ultra-fast onboard memory.<\/p>\n This is a big deal because it allows the chip to perform complex AI calculations in a high-speed workspace without constantly waiting on the main system memory (DRAM). Musk noted that this design makes the effective memory bandwidth “an order of magnitude greater than DRAM bandwidth.” Essentially, by keeping the most critical data right on the chip, Tesla is bypassing the hardware bottlenecks that currently plague the AI4 fleet.<\/p>\n From Cars to the TERAFAB<\/p>\n While Musk recently downplayed the need for AI5<\/a> in current consumer vehicles, claiming AI4 is enough for “better than human safety,” the roadmap for AI6 is clearly looking toward the future of unsupervised autonomy. These chips will likely serve as the brain for the Cybercab and the Optimus humanoid robot once they reach high-volume production.<\/p>\n The development of these chips will likely also be supported by the jointly developed TERAFAB project<\/a> between Tesla and xAI. This vertically integrated facility will consolidate chip design, memory production, and advanced packaging under one roof, allowing Tesla to iterate on a nine-month cycle<\/a>. By the time AI6 enters mass production, Tesla\u2019s “galactic civilization” goals might not seem so far-fetched.<\/p>\n April 16, 2026 <\/p>\n By Nehal Malik<\/p>\n Elon Musk has officially announced that Tesla\u2019s next-generation “AI5” chip has exited the tape-out stage, and it is a literal beast of a processor. In a post<\/a> on X, Musk confirmed the design was ready while sharing that a single AI5 chip delivers roughly 5 times the useful compute power of the dual-SoC AI4 setup found in current Teslas.<\/p>\n While Musk is currently downplaying its arrival in consumer vehicles<\/a> \u2014 noting that AI4 is already “enough to achieve much better than human safety” \u2014 this chip represents an architectural step-change. It appears that Tesla is finally moving away from the redundant dual-chip design of HW3 and HW4, suggesting a new level of confidence in the hardware\u2019s reliability. By consolidating into a single-chip design, Tesla can maximize efficiency and raw power without the overhead of keeping two identical chips in sync.<\/p>\n The Memory Monster<\/p>\n While the compute leap is impressive, the real “monster” metric for AI5 is its memory. Musk has previously hinted at a 40x improvement in certain metrics, which aligns with rumors of a staggering increase in RAM. While the current AI4 computer relies on 16GB of RAM, Musk has previously teased that AI5 could feature roughly 9 times more memory, potentially reaching up to 144GB<\/a>. We\u2019ll have to wait and see just how much of that Tesla can realize, given the ongoing global memory shortage and sky-high LPDDR5 prices. <\/p>\n AI models are incredibly memory-hungry, and Tesla engineers are already hitting bottlenecks with AI4<\/a>. This massive RAM upgrade will allow Tesla to run models that are, as Musk would say, orders of magnitude larger than what we see today. For context, the much larger 10-billion-parameter model originally intended for FSD v14 was pushed back to v15<\/a>, likely to give engineers more time to optimize for current hardware. AI5 will effectively remove these “handcuffs,” letting the software team build the massive neural networks they\u2019ve been dreaming of.<\/p>\n Robots and Supercomputers First<\/p>\n In a pivot from his previous rhetoric, Musk recently said that consumer vehicles won’t be the first to receive AI5. Instead, the initial batches of silicon are destined for the Optimus humanoid robot<\/a> and Tesla’s massive supercomputer clusters. This makes sense; Optimus requires high-density compute to navigate the physical world, and Tesla\u2019s training clusters need every ounce of performance to process the billions of miles of fleet data.<\/p>\n The Cybercab robotaxi<\/a> is still expected to launch with AI4 hardware after entering mass production this month, but it will almost certainly be the first vehicle to get an AI5 refresh once volume production ramps up in 2027. Consumer vehicles like the Model 3 and Model Y will likely follow that same timeline. Tesla is currently targeting an aggressive nine-month development cycle for its chips, with AI5 production split between Samsung in Texas<\/a> and TSMC in Arizona.<\/p>\n The End of the Hardware Bottleneck<\/p>\n![\"\"](\"https:\/\/www.europesays.com\/netherlands\/wp-content\/uploads\/2026\/04\/fsd_supervised-europe.jpg\")
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