Summary: NVIDIA's DLSS technology brings enhanced performance and visuals to highly anticipated games like Like a Dragon: Infinite Wealth, Enshrouded, TEKKEN 8, and Suicide Squad: Kill the Justice League, with Diablo IV also receiving a visual upgrade with the addition of ray tracing in March.
- DLSS 3 boosts performance in Like a Dragon: Infinite Wealth, Enshrouded, and TEKKEN 8, allowing for smooth gameplay with max settings enabled.
- DLSS 2 enables frame rates to be accelerated by an impressive 93% on average at 4K resolution in Enshrouded, ensuring a visually stunning and smooth gaming experience.
- DLSS Super Resolution and NVIDIA DLAA enhance the visual experience in Suicide Squad: Kill the Justice League, with ray-traced reflections and AI-based anti-aliasing for maximum image quality.
Last week, we witnessed the highly anticipated release of DLSS for Palworld. And now, we have even more exciting news for gamers. This week, we are celebrating the day-one availability of DLSS 3 in Like a Dragon: Infinite Wealth, DLSS 2 in Enshrouded, and TEKKEN 8. Additionally, DLSS Super Resolution is set to come to Suicide Squad: Kill the Justice League at launch. Let’s dive into the details of these thrilling developments.
Like a Dragon: Infinite Wealth Launches with DLSS 3
Get ready to embark on a captivating adventure as Kazuma Kiryu returns in Ryu Ga Gotoku Studio and Sega’s Like a Dragon: Infinite Wealth. This latest installment in the Yakuza series is set to launch on January 26th. Brace yourself for an RPG experience that spans across Japan and Hawaii, offering a vast world to explore.
In Like a Dragon: Infinite Wealth, you’ll engage in dynamic RPG battles where the battlefield becomes your weapon. With the support of DLSS 3, Geforce RTX 40 Series gamers can expect top-notch performance in this highly anticipated title.
Enshrouded Launches Today with DLSS 2
Prepare to enter the realm of Embervale in Enshrouded, a co-op survival action RPG developed by Keen Games. Your task is to reclaim the lost beauty of your kingdom and survive the terror of a corrupting fog. With the launch of Enshrouded into Early Access today, GeForce RTX gamers can immediately activate DLSS 2 to enhance their gaming experience.
DLSS 2 enables frame rates to be accelerated by an impressive 93% on average at 4K resolution, ensuring smooth gameplay with max settings enabled. Even those without high-end rigs can still enjoy Enshrouded’s benefits through nVidia’s GeForce NOW Priority and Ultimate memberships, which allow streaming of the game from the cloud.
TEKKEN 8 Launches January 26th with DLSS 2
Prepare yourself for the next chapter in the legendary fighting game franchise, TEKKEN 8. This highly anticipated release features completely redesigned character visuals and high-fidelity graphics that push the limits of new-generation hardware. Immerse yourself in vivid environments and destructible stages, creating the ultimate play experience.
Launching on January 26th, TEKKEN 8 will be even better on GeForce RTX desktops and Laptops with the inclusion of DLSS 2. This technology ensures a locked 60 FPS with details and effects cranked up to the maximum, delivering a visually stunning and smooth gaming experience.
Suicide Squad: Kill the Justice League Launches February 2nd with DLSS Super Resolution
On February 2nd, Rocksteady Studios, known for their work on the Batman: Arkham series, will unleash Suicide Squad: Kill the Justice League. In this action-packed third-person shooter, you’ll step into the shoes of Harley Quinn, Deadshot, Captain Boomerang, and King Shark as they take on the seemingly impossible task of eliminating the Justice League.
GeForce RTX GPU owners can leverage the power of their hardware to enhance their gaming experience in Suicide Squad: Kill the Justice League. Ray-traced reflections can be enabled using dedicated RT Cores, and NVIDIA DLSS Super Resolution can be activated using Tensor Cores. Players can also opt for NVIDIA DLAA, an AI-based anti-aliasing mode that maximizes image quality for a richer visual experience.
Diablo IV Season of the Construct Available Now, Featuring DLSS 3; Ray Tracing Arrives This March
Since its launch in June 2023, Diablo IV has been delivering exceptional performance to GeForce RTX gamers with the inclusion of DLSS 3. This technology has boosted performance by an average of 2.5X at 4K resolution. Additionally, NVIDIA Reflex has reduced system latency by up to 67%, ensuring the most responsive gameplay possible.
In March, Diablo IV will receive a visual upgrade with the introduction of ray tracing. Players can expect accurate, realistic ray-traced reflections and transparent reflections on reflective surfaces, as well as enhanced shadows. These additions will bring extra detail, depth, and fidelity to the game’s immersive world.
To celebrate the upcoming release of ray tracing, Blizzard has launched Diablo IV’s Season of the Construct, which can be accelerated by DLSS 3. This season introduces new challenges and threats that players must overcome with the help of a new companion.
GeForce NOW members will soon have the opportunity to stream Diablo IV from the cloud, even without a GeForce RTX PC. Ultimate members will enjoy streaming at up to 4K resolution and 120 frames per second, with support for NVIDIA DLSS and Reflex technology. And when ray tracing arrives in March, players can elevate their gaming experience with these immersive effects.
These exciting developments in DLSS technology and game releases showcase NVIDIA’s commitment to enhancing gaming experiences and providing top-notch performance to gamers worldwide. Stay tuned for more updates and immerse yourself in these thrilling titles with the power of GeForce RTX.
About nVidia: NVIDIA has firmly established itself as a leader in the realm of client computing, continuously pushing the boundaries of innovation in graphics and AI technologies. With a deep commitment to enhancing user experiences, NVIDIA's client computing business focuses on delivering solutions that power everything from gaming and creative workloads to enterprise applications. for its GeForce graphics cards, the company has redefined high-performance gaming, setting industry standards for realistic visuals, fluid frame rates, and immersive experiences. Complementing its gaming expertise, NVIDIA's Quadro and NVIDIA RTX graphics cards cater to professionals in design, content creation, and scientific fields, enabling real-time ray tracing and AI-driven workflows that elevate productivity and creativity to unprecedented heights. By seamlessly integrating graphics, AI, and software, NVIDIA continues to shape the landscape of client computing, fostering innovation and immersive interactions in a rapidly evolving digital world.nVidia Website: https://www.nvidia.com
nVidia LinkedIn: https://www.linkedin.com/company/nvidia/
About Sega: Sega is a important Japanese video game company founded in 1960. It has a significant presence in the gaming industry and is well-known for its contributions to both arcade and home console gaming. Sega is recognized for creating iconic gaming franchises such as Sonic the Hedgehog, Sonic the Hedgehog, and many others. Over the years, Sega has evolved into a multi-faceted entertainment company, extending its reach beyond gaming into various media and digital content.Sega Website: https://www.sega.com/
Sega LinkedIn: https://www.linkedin.com/company/sega/
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.
latency: Technology latency is the time it takes for a computer system to respond to a request. It is an important factor in the performance of computer systems, as it affects the speed and efficiency of data processing. In the computer industry, latency is a major factor in the performance of computer networks, storage systems, and other computer systems. Low latency is essential for applications that require fast response times, such as online gaming, streaming media, and real-time data processing. High latency can cause delays in data processing, resulting in slow response times and poor performance. To reduce latency, computer systems use various techniques such as caching, load balancing, and parallel processing. By reducing latency, computer systems can provide faster response times and improved performance.
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.
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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