As AI technology continues to advance, its potential will only grow. With developments in areas such as deep learning, neural networks, and natural language processing, AI is poised to take on even more sophisticated tasks. The integration of AI with other emerging technologies like the Internet of Things (IoT), blockchain, and quantum computing will further expand its impact, reshaping industries and redefining the future of technology. Our Pixelspace aiDAPTIV+ SSD is the key component in Pixelspace AI Machine. This particular SSD allows user to be able to run model training without needing to buy high-end graphic cards. Pixelspace aiDAPTIV+ SSD is not a storage device; it acts as memory caching device. This SSD will extend the graphic card’s memory and allow the machine to be able to run model training. With Pixelspace aiDAPTIV+ SSD, cost for AI solutions will dramatically decrease as it is a cost reduction component while maintaining the exact performance client needs. We are proud to introduce the Pixelspace aiDAPTIV+ SSD, made possible through our strong partnership with Phison Electronics Corporation, a globally recognized leader in Integrated Circuit (IC) technology based in Taiwan. Phison’s expertise in the development and manufacturing of advanced storage solutions has been instrumental in bringing this product to life. Our close collaboration with them, especially in research and development, allows us to leverage cutting-edge innovations and tailor solutions that meet the highest industry standards. We consider ourselves fortunate to work alongside Phison as an R&D partner. This partnership enables us to integrate Phison's world-class Integrated Circuit IC technology into our SSD products, ensuring optimal performance, reliability, and competitiveness in the global market. Their extensive experience and technical know-how allow us to push the boundaries of what’s possible, delivering advanced storage solutions that exceed user expectations. Together, we are creating products that not only meet today’s needs but also pave the way for future innovations.
Pixelspace aiDAPTIV+ SSD may resemble a storage device but it is not one. In fact, it functions as a memory caching device that enable system to recognise as high bandwidth memory (HBM) which usually only GPU is able to provide. High bandwidth memory (HBM) is crucial in AI system as model training requires a large amount of HBM to operate smoothly. Usually to run AI model training, it is required to have multiple machines equipped with lineup of high-performance GPUs in order to achieve a large amount of HBM. By leveraging the Pixelspace aiDAPTIV+ SSD, AI systems no longer need multiple machines with extensive GPU setups. Instead, the entire infrastructure can operate efficiently with just one machine, four GPUs, and two units of the aiDAPTIV+ SSD. This drastically simplifies the system architecture, making it more compact and easier to manage, while also cutting down on the need for frequent maintenance.
By reducing the number of chassis and GPUs required, organizations can significantly cut down on the initial investment needed to acquire hardware. High-performance GPUs are among the most expensive components in an AI setup, and reducing their quantity directly lowers the upfront costs. Additionally, each chassis typically requires other components, such as power supplies and cooling systems, which can also add to the overall expense. Fewer hardware components lead to a simpler infrastructure. This means fewer parts to purchase, install, and configure, which can save both time and money during the setup process. A streamlined infrastructure also means reduced logistical costs associated with shipping, handling, and storage of the hardware. Fewer GPUs and chassis translate to less hardware to maintain and manage. This not only reduces the frequency of hardware failures but also minimizes the costs associated with repairs and replacements. Additionally, having a simpler system can reduce the need for specialized personnel to manage the setup, leading to further savings. the reduction in hardware costs resulting from fewer chassis and GPUs not only impacts the initial investment but also extends to ongoing operational efficiencies, maintenance savings, and overall resource optimization. This approach allows organizations to allocate their budgets more effectively, focusing resources on innovation and growth rather than maintaining excessive hardware.
By reducing the need for multiple chassis, GPUs, and other related components, we take significant strides toward resource efficiency and sustainability, in line with green technology principles. By using less hardware, we decrease the demand for raw materials, thereby reducing the ecological footprint associated with mining, manufacturing, and transportation. This strategic minimization not only lessens material consumption but also leads to substantial energy savings. With fewer GPUs and chassis to power, the overall energy demand of the system decreases, resulting in significant cost savings on electricity bills. This is particularly important in data centers, where energy costs can represent a large portion of operational expenses. Lower energy use also translates into a reduced carbon footprint, contributing to broader sustainability goals. The Pixelspace aiDAPTIV+ SSD is carefully designed with energy efficiency in mind, specifically chosen to lower power consumption and reduce ongoing operational costs.
Pixelspace aiDAPTIV+ SSD is a heavy-duty component as it is able to replace a lineup of high performance GPUs. The Data Write Per Day (DWPD) for this particular SSD is 100 where as normal SSD ranges from 0.5 – 1 only. DWPD measures the endurance of an SSD, indicating the number of times the drive's entire capacity can be written to per day over its warranty period. Essentially, it quantifies the drive's ability to withstand data write operations without experiencing a failure. This remarkable endurance capability allows it to handle a staggering volume of data writes, making it a prime candidate for applications that demand high performance and reliability. This feature not only enhances its durability but also positions it as a formidable alternative to traditional high-performance GPUs, particularly in data-intensive environments where reliability and efficiency are paramount.