NVIDIA’s ambitious RTX Spark platform, unveiled at Computex 2026, now carries a concrete starting price. Analysts at Morgan Stanley, who reportedly surveyed major PC manufacturers on the show floor, have projected that the entry-level RTX Spark N1-powered PCs will start at $1,799 (approximately ¥290,000), while the more powerful N1X variants will command a premium, beginning at $2,899 (around ¥460,000). These estimates provide the first realistic picture of what it will cost to own a laptop or desktop built around NVIDIA’s first custom Arm-based SoC for the personal computer market.
How Analysts Derived the RTX Spark Price Estimates
The figures, which are not official NVIDIA pricing, come from a report by Morgan Stanley analyst Max Weinbach of Creative Strategies. Weinbach’s findings, shared via a post on X, indicate that the bank directly inquired with OEM partners at Computex 2026 to gauge the expected price range for the new devices. While NVIDIA has not disclosed a standalone price for the RTX Spark chip—an unusual move for a discrete GPU vendor that typically provides reference pricing for its notebook parts—the analyst estimates offer the most concrete expectation to date.
The report’s findings are consistent with pricing already observed in the market. Lenovo’s newly announced Yoga Pro 7 series, which incorporates the N1X chip, was listed with European pricing before Computex. The N1X 675 model with 64GB of unified memory is set at €4,049, while the N1X 650 variant with 32GB is priced at €3,199. Morgan Stanley’s estimate of $2,899 and up for N1X systems refers to the base configuration, confirming that memory upgrades will push prices significantly higher.
N1X vs. N1: What the Price Difference Buys
Understanding the price gap between the two RTX Spark tiers requires a look at their dramatically different specifications. The higher-end N1X is a monolithic powerhouse, built on the same GB10 chip that powers NVIDI’s own DGX Spark data center appliance. It features a 20-core Grace CPU (10 Cortex-X925 performance cores and 10 Cortex-A725 efficiency cores) paired with a Blackwell-generation GPU boasting 6,144 CUDA cores. The N1X supports up to 128GB of unified LPDDR5X memory via a 600GB/s NVLink-C2C interconnect and has a TDP ranging from 45W to 80W.
The more affordable N1 chip is a scaled-down SoC designed for thinner and lighter form factors. It uses a 12-core CPU (8 Cortex-X925 and 4 Cortex-A725), a GPU comparable to a desktop RTX 5050 with 2,560 CUDA cores, and a maximum of 64GB of unified memory. With a TDP between 18W and 45W, the N1 is built for efficiency rather than raw computational throughput.
Both chips are manufactured on TSMC’s 3nm node and share an Arm v9.2 architecture co-designed with MediaTek.
How RTX Spark Pricing Compares to MacBook Pro
The most direct competitive comparison for the RTX Spark N1X is the MacBook Pro, and the financial picture is stark. A base 14-inch MacBook Pro with an M5 Pro chip, 24GB of unified memory, and a 1TB SSD sells for ¥369,800 in Japan. The N1X’s projected starting price of ¥460,000 places it roughly ¥90,000 above that M5 Pro configuration. However, the N1X still undercuts the top-tier 14-inch MacBook Pro with an M5 Max chip, 36GB of memory, and a 2TB SSD, which starts at ¥599,800.
This positions the N1X directly between the M5 Pro and M5 Max in the pricing hierarchy. The N1, at an estimated ¥290,000, is priced well above premium Windows-on-Arm laptops powered by Snapdragon X Elite or Intel Core Ultra processors, suggesting NVIDIA is not targeting the mass consumer market.
It is critical to note that Morgan Stanley’s estimates are for base configurations with 16GB to 32GB of unified memory and 512GB to 1TB of storage. A fully loaded N1X system with the maximum 128GB of unified memory will likely exceed the cost of even the most expensive M5 Max MacBook Pro, making it a strictly professional and developer-focused device.
Who Is the Target Buyer for a $1,799+ RTX Spark PC?
The pricing strategy makes it clear that NVIDIA is not chasing the average laptop buyer. The RTX Spark platform is designed for a specific, high-value audience: developers and creators who need to run large language models, perform AI inference, or execute complex simulations locally on a personal machine.
The Blackwell GPU integrated into the N1X delivers up to 1 PFLOPS of AI performance in FP4 precision, a capability that far exceeds what current MacBook Pro models or any x86-based laptop can offer in a similar power envelope. For professionals who require local, high-bandwidth AI compute rather than cloud-based inference, the premium over a typical laptop may be justified. The N1, with its lower power draw and desktop 5050-class GPU, is aimed at developers who need a capable portable unit for on-the-go work but do not require the N1X’s massive memory capacity.
When Will RTX Spark PCs Actually Be Available?
NVIDIA has stated that systems from major OEMs including ASUS, Dell, HP, Lenovo, Microsoft, and MSI are slated for a fall 2026 release. The company has reportedly lined up around 30 notebook models and 10 desktop models for the launch. However, significant caveats remain.
During Computex, the RTX Spark laptops shown at partner booths were all non-functional mock-ups. The only live demonstrations were running on NVIDIA’s own reference units. OEM partners have privately indicated a target launch window of September to October 2026. The fact that NVIDIA has not yet released detailed specifications—including exact GPU clocks, memory bandwidth, and power consumption figures—suggests the platform is still being finalized.
Another looming obstacle is the supply chain for DRAM and NAND. The price of memory has been climbing, and the capacity required for RTX Spark systems (up to 128GB of LPDDR5X) is significant. Whether OEMs can hit Morgan Stanley’s estimated baseline prices, or whether they will be forced to charge even more, remains to be seen.
The technical ambition of RTX Spark is undeniable. But the question NVIDIA must answer by autumn is not whether the hardware is impressive, but whether the specific professional use cases it serves can justify a price that starts near $1,800 and climbs quickly into MacBook Pro Max territory. For a developer who needs to run a 70-billion parameter model locally, the value proposition is clear. For everyone else, the price will determine whether RTX Spark is a new computing paradigm or an expensive niche.
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