ADVERTISEMENT

Every confirmed NVIDIA RTX Spark laptops announced at Computex 2026, to ship out this year

Six laptops from ASUS, Dell, HP, Lenovo, Microsoft, and MSI will be the first devices to ship with NVIDIA's new RTX Spark "superchip," promising 1 petaflop of AI compute, up to 128GB of unified memory, and all-day battery life with a thin chassis.

Published Jun 3, 2026 12:21 pm
At Computer 2026, NVIDIA has confirmed the first wave of RTX Spark laptops arriving this fall, giving consumers their clearest look yet at what the new AI-native PC platform will actually look like on store shelves. Six models from major manufacturers make up the launch lineup, each built around NVIDIA's new RTX Spark "superchip."
Every confirmed RTX Spark laptop
ASUS ProArt P16
Dell XPS 16
HP OmniBook X 14
Lenovo Yoga Pro 9n
Microsoft Surface Laptop Ultra
MSI Prestige N16 Flip AI+
All six are designed around RTX Spark's core promise: thin, light, portable hardware — as slim as 14mm and as light as 3 pounds — without sacrificing the performance needed for AI workloads, creative production, and gaming. Displays are tandem OLED panels with NVIDIA G-SYNC, available in 14- to 16-inch sizes. Compact RTX Spark desktops are also in development from Acer, ASUS, Dell, GIGABYTE, HP, Lenovo, and MSI.
What is the NVIDIA RTX Spark "superchip"?
Every laptop in the lineup is powered by the same chip: the NVIDIA RTX Spark. It combines a Blackwell RTX GPU with 6,144 CUDA cores and fifth-generation Tensor Cores (FP4 precision) with a 20-core NVIDIA Grace CPU, connected via NVLink-C2C. MediaTek co-designed the CPU for best-in-class power efficiency, which, on paper enables the all-day battery life.
The top-end configuration delivers up to 1 petaflop of AI compute and 128GB of unified memory.
What RTX Spark laptops can actually do?
The specs translate into concrete capabilities across three use cases:
For AI and developers: Run 120-billion-parameter language models with 1 million tokens of context locally. The full NVIDIA CUDA stack, the same one that powers cloud AI, runs natively on RTX Spark, making these machines viable development and prototyping environments.
For creators: Edit 12K 4:2:2 video with the Blackwell hardware decoder, render 90GB 3D scenes with OptiX and DLSS, and benefit from a rebuilt Adobe Premiere and Photoshop pipeline optimized specifically for RTX Spark, delivering up to 2x faster performance across editing, coloring, and AI effects.
For gamers: Play AAA titles at 1440p at over 100 fps with ray tracing, DLSS, and NVIDIA Reflex. New DLSS 4.5 Ray Reconstruction and RTX Video 4x Frame Generation are also coming to the platform. Interestingly, with this much power and gaming, there was no mention of DLSS "yassify" 5. (Though to be fair, that is slated to launch later this year.)
On-device AI agents are the big bet
Beyond raw performance, NVIDIA and Microsoft are positioning RTX Spark laptops as the first mainstream platform for running AI agents locally. A new NVIDIA OpenShell runtime and Windows security primitives let users run agents privately on-device, controlling what they can access and routing sensitive queries away from the cloud.

Related Tags

Computex 2026 NVIDIA NVIDIA RTX Spark Spark laptops
ADVERTISEMENT
.most-popular .layout-ratio{ padding-bottom: 79.13%; } @media (min-width: 768px) and (max-width: 1024px) { .widget-title { font-size: 15px !important; } }

{{ articles_filter_1561_widget.title }}

.most-popular .layout-ratio{ padding-bottom: 79.13%; } @media (min-width: 768px) and (max-width: 1024px) { .widget-title { font-size: 15px !important; } }

{{ articles_filter_1562_widget.title }}

.most-popular .layout-ratio{ padding-bottom: 79.13%; } @media (min-width: 768px) and (max-width: 1024px) { .widget-title { font-size: 15px !important; } }

{{ articles_filter_1563_widget.title }}

{{ articles_filter_1564_widget.title }}

.mb-article-details { position: relative; } .mb-article-details .article-body-preview, .mb-article-details .article-body-summary{ font-size: 17px; line-height: 30px; font-family: "Libre Caslon Text", serif; color: #000; } .mb-article-details .article-body-preview iframe , .mb-article-details .article-body-summary iframe{ width: 100%; margin: auto; } .read-more-background { background: linear-gradient(180deg, color(display-p3 1.000 1.000 1.000 / 0) 13.75%, color(display-p3 1.000 1.000 1.000 / 0.8) 30.79%, color(display-p3 1.000 1.000 1.000) 72.5%); position: absolute; height: 200px; width: 100%; bottom: 0; display: flex; justify-content: center; align-items: center; padding: 0; } .read-more-background a{ color: #000; } .read-more-btn { padding: 17px 45px; font-family: Inter; font-weight: 700; font-size: 18px; line-height: 16px; text-align: center; vertical-align: middle; border: 1px solid black; background-color: white; } .hidden { display: none; }
function initializeAllSwipers() { // Get all hidden inputs with cms_article_id document.querySelectorAll('[id^="cms_article_id_"]').forEach(function (input) { const cmsArticleId = input.value; const articleSelector = '#article-' + cmsArticleId + ' .body_images'; const swiperElement = document.querySelector(articleSelector); if (swiperElement && !swiperElement.classList.contains('swiper-initialized')) { new Swiper(articleSelector, { loop: true, pagination: false, navigation: { nextEl: '#article-' + cmsArticleId + ' .swiper-button-next', prevEl: '#article-' + cmsArticleId + ' .swiper-button-prev', }, }); } }); } setTimeout(initializeAllSwipers, 3000); const intersectionObserver = new IntersectionObserver( (entries) => { entries.forEach((entry) => { if (entry.isIntersecting) { const newUrl = entry.target.getAttribute("data-url"); if (newUrl) { history.pushState(null, null, newUrl); let article = entry.target; // Extract metadata const author = article.querySelector('.author-section').textContent.replace('By', '').trim(); const section = article.querySelector('.section-info ').textContent.replace(' ', ' '); const title = article.querySelector('.article-title h1').textContent; // Parse URL for Chartbeat path format const parsedUrl = new URL(newUrl, window.location.origin); const cleanUrl = parsedUrl.host + parsedUrl.pathname; // Update Chartbeat configuration if (typeof window._sf_async_config !== 'undefined') { window._sf_async_config.path = cleanUrl; window._sf_async_config.sections = section; window._sf_async_config.authors = author; } // Track virtual page view with Chartbeat if (typeof pSUPERFLY !== 'undefined' && typeof pSUPERFLY.virtualPage === 'function') { try { pSUPERFLY.virtualPage({ path: cleanUrl, title: title, sections: section, authors: author }); } catch (error) { console.error('ping error', error); } } // Optional: Update document title if (title && title !== document.title) { document.title = title; } } } }); }, { threshold: 0.1 } ); function showArticleBody(button) { const article = button.closest("article"); const summary = article.querySelector(".article-body-summary"); const body = article.querySelector(".article-body-preview"); const readMoreSection = article.querySelector(".read-more-background"); // Hide summary and read-more section summary.style.display = "none"; readMoreSection.style.display = "none"; // Show the full article body body.classList.remove("hidden"); } document.addEventListener("DOMContentLoaded", () => { let loadCount = 0; // Track how many times articles are loaded const offset = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]; // Offset values const currentUrl = window.location.pathname.substring(1); let isLoading = false; // Prevent multiple calls if (!currentUrl) { console.log("Current URL is invalid."); return; } const sentinel = document.getElementById("load-more-sentinel"); if (!sentinel) { console.log("Sentinel element not found."); return; } function isSentinelVisible() { const rect = sentinel.getBoundingClientRect(); return ( rect.top < window.innerHeight && rect.bottom >= 0 ); } function onScroll() { if (isLoading) return; if (isSentinelVisible()) { if (loadCount >= offset.length) { console.log("Maximum load attempts reached."); window.removeEventListener("scroll", onScroll); return; } isLoading = true; const currentOffset = offset[loadCount]; window.loadMoreItems().then(() => { let article = document.querySelector('#widget_1690 > div:nth-last-of-type(2) article'); intersectionObserver.observe(article) loadCount++; }).catch(error => { console.error("Error loading more items:", error); }).finally(() => { isLoading = false; }); } } window.addEventListener("scroll", onScroll); });

Sign up by email to receive news.