Summary: Aetina introduces new MXM GPU lineup, featuring NVIDIA Ada Lovelace architecture and exceptional performance, to revolutionize edge AI applications in industries such as healthcare, manufacturing, and gaming.
- Utilizes NVIDIA Ada Lovelace architecture for exceptional GPU performance
- Addresses the challenge of maximizing AI computing performance within limited space
- Offers a diverse portfolio of MXM modules catering to different performance levels
Aetina, a important player in the Edge AI solution market, has launched its latest lineup of embedded MXM GPUs. Leveraging the nVidia Ada Lovelace architecture, the MX2000A-VP, MX3500A-SP, and MX5000A-WP models are designed to cater to real-time Ray Tracing and AI-based neural graphics. With a focus on delivering exceptional GPU performance, these modules are set to revolutionize gaming, creative graphics, AI, and compute performance.
As the demand for AI applications continues to soar, the global GPU market is projected to witness significant growth, with a compound annual growth rate of 34.4% from 2023 to 2028. This surge can be attributed to the growing influence of the AI industry. As AI applications increasingly move from cloud-based platforms to edge devices, businesses are faced with the challenge of maximizing AI computing performance within limited space. Aetina’s latest MXM modules address this concern by not only achieving breakthroughs in performance and energy efficiency but also by enhancing ray tracing and AI-based neural graphics capabilities. Moreover, their compact design optimizes space utilization, unlocking new possibilities for edge AI devices.
Among the MXM modules introduced by Aetina, the MX5000A-WP stands out with its next-generation NVIDIA RTX 5000 Ada GPU. Boasting an impressive 9,728 CUDA cores, 76 RT Cores, and 304 Tensor Cores, this module supports a PCIe 4.0 interface and offers up to 16 GB of GDDR6 memory. With a power consumption of just 115 watts, it meets the demanding computational requirements of edge AI applications while maintaining a compact form factor.
Aetina also provides a range of MXM product options catering to different performance levels. The MX3500A-SP features the NVIDIA RTX 3500 Ada GPU, while the MX2000A-VP is equipped with the NVIDIA RTX 2000 Ada GPU. This diverse portfolio ensures that Aetina can meet the specific requirements of various AI application scenarios.
In addition to their exceptional performance, Aetina’s MXM modules are designed to excel in extreme environments. With features like conformal coating for harsh conditions and Error Correction Code (ECC) for data integrity, these modules are built to withstand challenging deployment scenarios. Aetina’s commitment to customer satisfaction is further exemplified by their five-year support, which fosters innovation in the field of edge AI integration.
With the release of their new MXM GPU series, Aetina is poised to make a significant impact in the Edge AI landscape. By combining technology with a focus on performance, energy efficiency, and compact design, Aetina is empowering businesses in sectors such as smart healthcare, autonomous machines, smart manufacturing, and commercial gaming to harness the full potential of AI processing and computing capabilities.
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/
Ada Lovelace: NVIDIA Ada Lovelace architecture is a new GPU architecture that delivers incredible performance for gaming, creating, professional graphics, AI, and compute. It features third-generation RT Cores, fourth-generation Tensor cores, and next-generation CUDA cores that enable revolutionary performance for ray tracing and AI-based neural graphics. It also supports new rendering features such as DLSS 3.0, RTX Remix, shader execution reordering, displaced micro-meshes, opacity micromaps, and Nvidia Reflex43.
GDDR6: GDDR6 stands for Graphics Double Data Rate 6th generation memory. It is a high performance memory used in graphics cards and graphics processing units (GPUs), specifically targeting gaming, AI and deep learning-related applications. GDDR6 achieves higher bandwidth than previous generations, allowing faster and smoother gaming experience for users. It is also more power efficient, resulting in lower energy consumption overall. The improved power efficiency makes it adaptable to today's needs of thinner laptops and ultra-high definition gaming laptops. Additionally, GDDR6 is used in storage solutions and advanced data center applications to help streamline large amounts of data at lightning-fast speeds.
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.
MXM: A Mobile PCI Express Module (MXM) is an interconnect standard, generally used for GPUs (MXM Graphics Modules) in laptops using PCI Express created by MXM-SI, although other devices could also be supported.
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.
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.
- Crucial introduces high-performance DDR5-6000 memory and T705 M.2 Gen 5 SSD
- CTL introduces Sleek Chromebook NL73 Series: A Perfect Blend of Style and Function
- Arctic’s Liquid Freezer III AIO CPU Coolers Receive Impressive Price Reductions
- Eurocom introduces Powerful 780 W AC Adapter, Enhancing MSI Titan 18HX Gaming Laptop
- ASUS introduces AI-Enabled Vivobook S Series Notebooks, Powered by Intel Core Ultra Processors
- NZXT about to launch the H6 Flow RGB, a HYTE Y60’ish Mid tower case
- HYTE teases the “HYTE Y70 Touch” case with large touch screen
- Intel’s CPU Roadmap: 15th Gen Arrow Lake Arriving Q4 2024, Panther Lake and Nova Lake Follow
- NZXT set to launch a non RGB version of the H6 Flow case
- Tech giants collaborate to establish standardized narrow precision data formats for AI.