New Laptops From ASUS & MSI At Computex 2024 Add To 200+ RTX AI Laptops Available Now

At Computex 2024, ASUS and MSI unveiled new RTX AI laptops, which feature up to GeForce RTX 4070 Laptop GPUs, and power-efficient systems-on-a-chip, with new Windows AI PC capabilities. These laptops add to over 200 RTX AI designs from leading OEM partners around the world, and power advanced AI experiences for gamers, creators, developers, and enthusiasts.

ASUS ProArt P16

ASUS’ 16-inch ProArt P16 laptop delivers exceptional creative on-the-go experiences anywhere, boasting cutting-edge components within its premium-feel black chassis that's just 14.9 mm thin and 1.8 kg light. Visuals are brought to life by the world-leading 4K ASUS Lumina OLED display, ensuring every detail is rendered with stunning clarity, allowing creators to immerse themselves in their work. And with a GeForce RTX 4070 Laptop GPU with up to 321 AI TOPS, the ProArt P16 enables creatives to tap into the RTX AI platform. Creators go from concept to completion faster with AI denoisers, image and video generation, AI video editing; and enjoy exclusive NVIDIA AI software like NVIDIA Broadcast, RTX Video, and the ChatRTX tech demo. It’s also equipped with a 50 TOPS NPU integrated into new AMD Ryzen AI 300 Series processors.

ASUS ProArt PX13

Powered by a NVIDIA GeForce RTX 4070 Laptop GPU with up to 321 AI TOPS and a next-gen AMD Ryzen AI 300 Series processors, the ultra-portable ASUS ProArt PX13 delivers excellent efficiency and performance. This 1.3 kg, 13-inch convertible laptop is designed to excel in any user scenario, with a 360° hinge that allows seamless flipping between laptop, tent, stand or tablet modes. Whether creating on-the-go or working from home, its high-resolution 3K ASUS Lumina OLED display ensures lifelike visuals that captivate and inspire.

ASUS TUF Gaming A14 & A16

ASUS has unveiled two new models of their popular TUF Gaming laptop line, built with new ultraportable chassis designs, AMD Ryzen AI 300 Series processors, and dedicated GeForce RTX Laptop GPUs capable of up to 321 AI TOPS. Combined with improved cooling and superior upgradeability, the TUF Gaming lineup raises the bar for value-oriented gaming laptops.

For the first time, ASUS now offers a 14-inch form factor in the TUF Gaming lineup. Built to be ultra-portable and ultra-powerful, the new TUF Gaming A14 weighs only 1.46kg, and measures 1.69cm thin. The A14 supports up to an NVIDIA GeForce RTX 4060 Laptop GPU.

The new TUF Gaming A16 is 1.79cm thin and features up to an NVIDIA GeForce RTX 4070 Laptop GPU, great for gaming and creative tasks alike. The new A16 is only 1.79cm thin, allowing it to travel anywhere. Despite the thinner chassis, the TUF Gaming A16 boasts improved cooling as well, thanks to a new full-width heatsink and exhaust vents that span the entire rear of the laptop. And two 2nd-gen Arc Flow fans keep crucial internal components cool, while also decreasing the surface temperature of the laptop.

ASUS Zephyrus G16

The NVIDIA Studio 2024 ASUS ROG Zephyrus G16 has been completely redesigned inside and out, boasting an all-new and all-aluminum CNC-machined chassis for the perfect mix of weight reduction, structural rigidity, and increased chassis space. With models available up to the all-powerful GeForce RTX 4090 Laptop GPU with up to 686 AI TOPS, Zephyrus G16 offers incredible performance in all of the latest games and creative applications. And at Computex 2024, ASUS announced new Zephyrus G16 SKUs featuring AMD Ryzen AI 300 Series Processors.

With dedicated AI support for tools like Omniverse and Stable Diffusion, users can skip long queues in the cloud and generate images locally in just a few seconds. Video-editing and 3D-rendering projects are more than twice as fast with AI acceleration, all while consuming less power for longer battery life. With full access to the latest AI-accelerated technologies, this hardware can easily handle the latest creation software and games without breaking a sweat.

And everything looks extra special as the 2024 Zephyrus G16 is one of the first ROG laptops to feature an OLED panel, with ASUS boasting G-SYNC support at 2.5K, 240Hz, with VESA DisplayHDR™ True Black 500 certification, 100% coverage of the DCI-P3 color space, and a Delta E accuracy of less than 1.

MSI Stealth A16 AI+

NVIDIA GeForce RTX and NVIDIA RTX Laptop GPUs inside MSI Laptops are built for the era of AI. Powered by our industry-leading Ada Lovelace architecture, the specialized AI Tensor Cores on each GeForce Laptop GPU deliver cutting-edge performance and transformative capabilities for AI in gaming, creating, everyday productivity, development and more. With RTX GPUs, users unlock the full potential of AI on Windows PCs today and in the future.

The new A16 AI+ model can be equipped with a GeForce RTX 4070 Laptop GPU, for great AI performance, delivering up to 321 TOPS. And as of today, users can now spec this machine with AMD Ryzen AI 300 Series Processors.

RTX AI Laptops Power Advanced AI Experiences

The speed of a chip’s AI performance is listed as TOPS: Trillions of Operations Per Second. The fastest RTX AI laptops can hit up to 686 AI TOPS, an order of magnitude faster than the latest SOCs equipped with Neural Processing Units (NPU).

In addition to the over 500 AI-enabled games and apps already accelerated by RTX today, these GeForce RTX and NVIDIA RTX laptops are also built for AI applications like NVIDIA RTX Remix, NVIDIA ACE, NVIDIA RTX Video and Project G-Assist.

Be sure to check out our other Computex 2024 announcements to see how NVIDIA is advancing gaming and creating with AI and NVIDIA RTX technologies.

Introducing Project G-Assist: A Preview of How AI Assistants Can Enhance Games & Apps

Project G-Assist is an RTX-powered AI assistant technology demo that provides context-aware help for PC games and apps.

PC games offer vast universes to explore and intricate mechanics to challenge even the most dedicated gamer. Project G-Assist aims to put game and system knowledge at players’ fingertips.


Project G-Assist takes voice or text inputs from the player, along with a snapshot of what’s in the game window. The snapshot is fed into AI vision models that provide context awareness and app-specific understanding for the Large Language Model (LLM), which is connected to a database of game knowledge such as a wiki. The output of the LLM is an insightful and personalized response—either text, or speech from the AI —based on what’s happening in-game.

NVIDIA partnered with Studio Wildcard to demo the technology with ARK: Survival Ascended. Project G-Assist can help answer questions about creatures, quests, items, lore, difficult to tackle bosses and more. And because Project G-Assist is context-aware, it personalizes its responses to the user’s playthrough.

Additionally, Project G-Assist can evaluate your system’s configuration and performance, and instantly tune it for an optimal experience. Apply NVIDIA app’s optimized game settings, based on extensive testing on thousands of hardware configurations; enable Performance Tuning to apply a safe GPU overclock; switch on NVIDIA Reflex to reduce system latency for more responsive gaming; plus so much more.

We envision AI assistants transforming the way we engage with our favorite games and apps. Imagine getting instant context-aware assistance with a complex creative workflow in a photo or video app. Or an AI coach analyzing your multiplayer replays, teaching you strategies to move up the ranks in competitive matches. Project G-Assist is a glimpse into that future.

Project G-Assist won’t play a game for you like we suggested in our prophetic 2017 April Fool’s video, but it can help you get more out of your favorite games, and find help for a troublesome boss. Takeout ordering, however… we could definitely add that to the roadmap.

For further details, check out our dedicated Project G-Assist article.

NVIDIA ACE Digital Human Technologies Now on GeForce RTX AI PCs

NVIDIA ACE technology for powering digital humans is now coming to RTX AI PCs and workstations with NVIDIA NIM — a collection of inference microservices that make it easier for developers to deploy language, speech, and animation applications

At Computex 2024, the debut of NIM for ACE will be featured in the Covert Protocol tech demo. Developed in collaboration with Inworld AI, the demo now showcases Audio2Face and NVIDIA Riva automatic speech recognition running locally on GeForce RTX AI PCs and laptops.


Additionally, leading developers are transforming character interactions by integrating ACE technology into real-time applications across gaming, customer service, digital influencers, and more. Below, you can check out videos from Perfect World’s Legends tech demo, OurPalm’s Code Z, and Aww Inc. For further details about each, head here.

AI For Content Creation

NVIDIA is also integrating RTX AI acceleration into apps for creators, modders and video enthusiasts.

Last year, NVIDIA introduced RTX acceleration using TensorRT for one of the most popular Stable Diffusion user interfaces, Automatic1111. Starting this week, RTX will also accelerate the highly popular ComfyUI, delivering up to a 60% improvement in performance over the currently shipping version, and 7x faster performance compared to the MacBook Pro M3 Max.

NVIDIA RTX Video, the popular AI-powered super-resolution feature supported in the Google Chrome, Microsoft Edge and Mozilla Firefox browsers, is now available as an SDK to all developers, helping them natively integrate AI for upscaling, sharpening, compression artifact reduction and high-dynamic range (HDR) conversion.

Coming soon to video editing software Blackmagic Design’s DaVinci Resolve and Wondershare Filmora, RTX Video will enable video editors to upscale lower-quality video files to 4K, as well as convert standard dynamic range source files into HDR. Additionally, the free media player VLC media will soon add RTX Video HDR to its existing super-resolution capability.

NVIDIA RTX Remix To Open Source Creator Toolkit

NVIDIA RTX Remix is a modding platform for remastering classic DirectX 8 and DirectX 9 games with full ray tracing, NVIDIA DLSS 3.5 and physically accurate materials. RTX Remix consists of a runtime renderer, and an app called RTX Remix Toolkit that facilitates the modding of game assets and materials.

Since RTX Remix Toolkit launched earlier this year, 20,000 modders have experimented with using it to mod classic games, resulting in over 130 RTX remasters in development on the RTX Remix Showcase Discord.

Last year, NVIDIA made RTX Remix Runtime open source, allowing modders to expand game compatibility and advance rendering capabilities. This month, NVIDIA will make the RTX Remix Toolkit open source, allowing modders to streamline how assets are replaced and scenes are relit, increase supported file formats for RTX Remix’s asset ingestor, and bolster RTX Remix’s AI Texture Tools with new models.

In addition, NVIDIA is making the capabilities of RTX Remix Toolkit accessible via a REST application programming interface, allowing modders to livelink RTX Remix to digital content creation tools such as Blender, modding tools such as Hammer and generative AI apps such as ComfyUI. NVIDIA is also providing an SDK for RTX Remix Runtime to allow modders to deploy RTX Remix’s renderer into other applications and games beyond DirectX 8 and 9 classics.

With more of the RTX Remix platform being made open source, modders across the globe can build even more stunning RTX remasters. For further details about the update launching later this month, head here.

Windows Copilot Runtime to Add GPU Acceleration for Local PC SLMs

Microsoft and NVIDIA are collaborating to help developers bring new generative AI capabilities to their Windows native and web apps. The collaboration will provide application developers with easy application programming interface (API) access to GPU-accelerated small language models (SLMs) and retrieval-augmented generation (RAG) capabilities that run on-device powered by Windows Copilot Runtime.

SLMs provide tremendous possibilities for Windows developers including content summarization, content generation, and task automation. RAG capabilities augment SLMs by giving the AI model access to domain-specific information not well represented in the base models. RAG APIs enable developers to harness application-specific data sources and tune SLM behavior and capabilities to application needs.

These AI capabilities will be accelerated by NVIDIA RTX GPUs, as well as AI accelerators from other hardware vendors, providing end users with fast, responsive AI experiences across the breadth of the Windows ecosystem.  

The API will be released in developer preview later this year.

AI - Powered by GeForce RTX & NVIDIA RTX AI Laptops and PCs

These new AI features, apps and experiences join our ever-growing list of AI advancements powered by GeForce RTX and NVIDIA RTX AI PCs. Be sure to check out our other Computex 2024 announcements to see how NVIDIA is advancing gaming and creating with AI and NVIDIA RTX technologies.