ASUS introduces Dual GeForce RTX 4060 Ti SSD Graphics Card with Features


November 22, 2023

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Summary: ASUS has launched the Dual GeForce RTX 4060 Ti SSD, the first graphics card to feature an M.2 slot, offering users the ability to upgrade their high-performance NVMe drives while enjoying seamless cooling and PCIe 5.0 speed.

  • Integration of an M.2 slot, making it the first graphics card to offer such a feature
  • Third-generation RT Cores and fourth-generation Tensor Cores, including DLSS 3.5 and frame generation
  • Compact cooling performance provided by the card's dual Axial-tech fans


ASUS has just launched its latest innovation in the world of Graphics Cards – the Dual Geforce RTX 4060 Ti SSD. What sets this card apart from the rest is its integration of an M.2 slot, making it the first graphics card to offer such a feature. This opens up a whole new world of possibilities for users looking to upgrade their high-performance NVMe drives while enjoying seamless cooling.

Underneath its sleek 2.5-slot design, the Dual GeForce RTX 4060 Ti SSD boasts all the incredible features of its predecessor, the ASUS Dual GeForce RTX 4060 Ti 8GB. With third-generation RT Cores and fourth-generation Tensor Cores, including DLSS 3.5 and frame generation, this card delivers an immersive real-time Ray Tracing experience that pushes the boundaries of visual excellence in modern games.

But what truly sets this graphics card apart is the hidden gem found at the rear – the M.2 2280-sized NVMe drive slot. By mounting an M.2 drive onto the Dual GeForce RTX 4060 Ti SSD, users have the option to replace their CPU’s own M.2 slot on the motherboard. This switch offers several compelling advantages for those seeking a GPU-mounted M.2 solution.

One notable advantage is the compact cooling performance provided by the card’s dual Axial-tech fans. These fans not only keep the graphics card cool during intense gaming sessions but also effectively dissipate heat from the M.2 drive. Unlike traditional motherboard M.2 slots, the Dual GeForce RTX 4060 Ti SSD’s cooling system ensures lower operating temperatures for the drive. In fact, ASUS testing revealed up to a remarkable 40% decrease in drive temperatures when attached to this graphics card. This not only enhances long-term stability but also allows for sustained read/write performance that surpasses standard motherboard-mounted M.2 slots.

It’s worth noting that if both the motherboard and NVMe drive support PCIe 5.0, the Dual GeForce RTX 4060 Ti SSD will operate at full PCIe 5.0 speed, despite being a PCIe 4.0-compliant GPU. To fully leverage this capability, ASUS recommends installing the card in the top PCIe slot on the motherboard for direct communication with the CPU. This ensures optimal performance without any impact on graphics or Storage speed.

The ASUS Dual GeForce RTX 4060 Ti SSD offers a straightforward and efficient solution for gamers and power users who require high-speed, long-term storage in their systems. With its innovative M.2 slot and exceptional cooling capabilities, this graphics card sets a new standard for performance and versatility in the industry.ASUS introduces Dual GeForce RTX 4060 Ti SSD Graphics Card with Features

ASUS introduces Dual GeForce RTX 4060 Ti SSD Graphics Card with Features

ASUS introduces Dual GeForce RTX 4060 Ti SSD Graphics Card with Features

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Background Information


About ASUS: ASUS, founded in 1989 by Ted Hsu, M.T. Liao, Wayne Hsieh, and T.H. Tung, has become a multinational tech giant known for its diverse hardware products. Spanning laptops, motherboards, graphics cards, and more, ASUS has gained recognition for its innovation and commitment to high-performance computing solutions. The company has a significant presence in gaming technology, producing popular products that cater to enthusiasts and professionals alike. With a focus on delivering and reliable technology, ASUS maintains its position as a important player in the industry.

ASUS Website: https://www.asus.com/
ASUS LinkedIn: https://www.linkedin.com/company/asus/

Technology Explained


CPU: The Central Processing Unit (CPU) is the brain of a computer, responsible for executing instructions and performing calculations. It is the most important component of a computer system, as it is responsible for controlling all other components. CPUs are used in a wide range of applications, from desktop computers to mobile devices, gaming consoles, and even supercomputers. CPUs are used to process data, execute instructions, and control the flow of information within a computer system. They are also used to control the input and output of data, as well as to store and retrieve data from memory. CPUs are essential for the functioning of any computer system, and their applications in the computer industry are vast.


DLSS: DLSS (Deep Learning Super Sampling) is an advanced AI-powered technology developed by NVIDIA that enhances real-time graphics rendering in video games and applications. DLSS utilizes deep learning algorithms to upscale lower-resolution images in real-time, resulting in higher-quality visuals while maintaining optimal performance. By harnessing the power of AI and deep neural networks, DLSS effectively boosts frame rates and image quality, enabling gamers to experience smoother gameplay and more immersive graphics without sacrificing computational efficiency. This technology has gained widespread recognition for its ability to deliver impressive visual fidelity and improved performance simultaneously, revolutionizing the way modern computer graphics are processed and displayed.

DLSS Website: https://www.nvidia.com/en-gb/geforce/technologies/dlss



Geforce: Geforce is a line of graphics processing units (GPUs) developed by Nvidia. It is the most popular GPU used in the computer industry today. Geforce GPUs are used in gaming PCs, workstations, and high-end laptops. They are also used in virtual reality systems, artificial intelligence, and deep learning applications. Geforce GPUs are designed to deliver high performance and power efficiency, making them ideal for gaming and other demanding applications. They are also capable of rendering high-resolution graphics and providing smooth, realistic visuals. Geforce GPUs are used in a variety of applications, from gaming to professional workstations, and are the preferred choice for many computer users.


GPU: GPU stands for Graphics Processing Unit and is a specialized type of processor designed to handle graphics-intensive tasks. It is used in the computer industry to render images, videos, and 3D graphics. GPUs are used in gaming consoles, PCs, and mobile devices to provide a smooth and immersive gaming experience. They are also used in the medical field to create 3D models of organs and tissues, and in the automotive industry to create virtual prototypes of cars. GPUs are also used in the field of artificial intelligence to process large amounts of data and create complex models. GPUs are becoming increasingly important in the computer industry as they are able to process large amounts of data quickly and efficiently.


M.2: M.2, also known as Next Generation Form Factor (NGFF), is a computer expansion card format that is designed to replace the outdated mSATA standard. It is thinner and longer than mSATA, which gives it a much higher data transfer rate. The M.2 format measures 22mm in width and can measure up to 110mm in length. It uses the M-key and B-key connectors to interface with PC host systems, and can connect to both SATA III and PCIe for data transfer. Due to its small size, M.2 is often used for ultra-slim laptops and netbooks, as well as in embedded SSDs for tablets and other mobile devices. It is also becoming increasingly popular in the desktop computer industry, thanks to its compactness and fast transfer speeds. This makes M.2 ideal for gaming PCs, workstations, and other demanding applications that require high levels of data throughput.


NVMe: Non-Volatile Memory Express (NVMe) is a newly developed technology that has been gaining traction in the computer industry. This technology is a standard interface which allows for high-speed storage and retrieval of data from solid state drives (SSDs). NVMe is designed to increase the speed of data transfers in storage systems by enabling a direct connection to PCI Express (PCIe) bus, resulting in significantly faster access times compared to traditional interface protocols such SSDs. NVMe is particularly useful for applications that require lightning-fast access to large amounts of high-value data. NVMe-based SSDs are being widely adopted in the computer industry and are being employed to power data centers, high-end workstations, and gaming machines to support lightning-fast data processing and retrieval, which unlocks possibilities for machine learning, real-time analytics, edge computing, and other cutting-edge applications. NVMe is proving to be an invaluable tool in the field of computing, offering immense


PCIe: PCIe (Peripheral Component Interconnect Express) is a high-speed serial computer expansion bus standard for connecting components such as graphics cards, sound cards, and network cards to a motherboard. It is the most widely used interface in the computer industry today, and is used in both desktop and laptop computers. PCIe is capable of providing up to 16 times the bandwidth of the older PCI standard, allowing for faster data transfer speeds and improved performance. It is also used in a variety of other applications, such as storage, networking, and communications. PCIe is an essential component of modern computing, and its applications are only expected to grow in the future.


Ray Tracing: Ray tracing is an advanced rendering technique used in computer graphics to simulate the way light interacts with objects in a virtual environment. It traces the path of light rays as they travel through a scene, calculating how they interact with surfaces, materials, and lighting sources. By simulating the complex behaviors of light, ray tracing produces highly realistic and accurate visual effects, including lifelike reflections, shadows, and refractions. This technology enhances the overall visual quality of images and animations by accurately replicating how light behaves in the real world, resulting in a more immersive and visually stunning digital experience.

Ray Tracing Website: https://www.nvidia.com/en-gb/geforce/technologies/ray-tracing/



RT Cores: RT Cores are a type of processor core technology that is designed to provide real-time computing capabilities. This technology is used in a variety of applications in the computer industry, such as embedded systems, robotics, and industrial automation. RT Cores are designed to provide fast and reliable computing performance, allowing for the execution of complex tasks in a short amount of time. They are also capable of handling multiple tasks simultaneously, making them ideal for applications that require high levels of multitasking. RT Cores are also used in the development of autonomous vehicles, as they are able to process data quickly and accurately. In addition, RT Cores are used in the development of artificial intelligence, as they are able to process large amounts of data quickly and accurately.


SSD: A Solid State Drive (SSD) is a modern data storage device that employs flash memory technology to store data electronically. Unlike traditional hard disk drives (HDDs), SSDs have no moving parts, resulting in significantly faster read and write speeds. This leads to quicker boot times, faster application loading, and smoother overall system performance. SSDs are known for their durability, shock resistance, and energy efficiency, making them ideal for laptops, ultrabooks, and other portable devices. They come in various form factors, including 2.5-inch, M.2, and PCIe cards, and are favored for their reliability, quiet operation, and reduced heat generation


Tensor Cores: Tensor Cores are a type of specialized hardware designed to accelerate deep learning and AI applications. They are used in the computer industry to speed up the training of deep learning models and to enable faster inference. Tensor Cores are capable of performing matrix operations at a much faster rate than traditional CPUs, allowing for faster training and inference of deep learning models. This technology is used in a variety of applications, including image recognition, natural language processing, and autonomous driving. Tensor Cores are also used in the gaming industry to improve the performance of games and to enable more realistic graphics.



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