Phison Electronics Corp. predicts continued rapid expansion of AI technologies and the crucial role of PCIe 5.0-based infrastructure in supporting AI workloads, emphasizing the need for secure and affordable infrastructure to achieve high-quality AI output and the increasing integration of device-level data protection measures, as well as the potential for private on-premise deployments of large language models and the growing importance of balanced systems utilizing NAND flash storage solutions in the evolving enterprise data ecosystem.
- Phison is a important player in the NAND flash controller and storage solutions market.
- Phison predicts a continued rapid expansion of AI technologies, with PCIe 5.0-based infrastructure playing a crucial role.
- Phison's low-power, high-performance NAND flash and signal integrity solutions are optimized for AI applications.
Phison Electronics Corp., a important player in the NAND flash controller and storage solutions market, has launched its predictions for the deployment of NAND flash infrastructure in 2024. The company foresees a continued rapid expansion of artificial intelligence (AI) technologies, with PCIe 5.0-based infrastructure playing a crucial role in providing high-performance and sustainable support for AI workloads. This prediction comes as private AI deployments, such as on-premise large language models (LLMs), are expected to drive significant growth in both everyday AI usage and the necessary supporting infrastructure.
Sebastien Jean, CTO of Phison US, emphasized the shift from initial excitement over AI to its wider everyday deployment. He stressed the importance of infrastructure designed to be secure and affordable in order to achieve high-quality AI output. According to Jean, organizations that effectively leverage AI to enhance productivity will enjoy immense success. Phison believes that infrastructure providers will play a vital role in ensuring that AI models do not encounter memory limitations, with NAND flash becoming a central component in configuring data center architectures to support the growing AI market.
The direction for 2023 was clear: AI will continue to permeate various aspects of our lives, and digital infrastructure will primarily focus on supporting these critical models in production environments. As AI becomes more commonplace, data center architects will face the challenge of sustaining the proliferation of applications like large language models while building systems that can scale and maintain these operations in the long run.
Phison’s data scientists and digital infrastructure experts anticipate that successful AI implementation in the future will prioritize data security against known and unknown threats while moving away from excessive reliance on accelerator technologies. This shift will result in more balanced systems. Phison’s predictions include the increasing integration of device-level cryptographic identification, attestation, and data encryption in essential data center components like SSDs, GPUs, and DRAMs to enhance data protection against emerging digital threats.
Furthermore, Phison expects private, on-premise infrastructure deployments for LLMs to gain traction. These deployments will enable organizations to run AI model training on proprietary data while minimizing security vulnerabilities associated with cloud-based solutions. As AI and LLMs advance at a rapid pace, the reliance on GPUs and DRAMs in AI infrastructure will be challenged, leading to new architectural approaches that leverage high-capacity NAND flash more effectively.
In these systems, PCIe 5.0 NAND flash is expected to gain wider adoption, powering applications in production environments with top speed and efficiency. This will free up GPUs and DRAMs to focus on running AI inference models separately, maximizing resource efficiency and productivity. Initially, private LLMs will concentrate on essential activities that are not bound by strict time-to-market deadlines, such as improving chatbot interactions for professionals and making incremental advancements to patented products. As these private deployments yield positive results, the applications will be expanded to adjacent operations and procedures, further driving the adoption of everyday infrastructural solutions for AI.
Dr. Wei Lin, CTO of Phison HQ and Head of Phison AI R&D, highlighted the importance of robust and balanced infrastructure in enabling tactical and strategic opportunities while fostering innovation in AI-driven data ecosystems. As critical infrastructure evolves to support the rapid advancements in AI, NAND flash storage solutions will play a central role, offering greater architectural balance against GPUs and DRAMs. This will result in balanced systems designed to maximize the benefits of ongoing, long-term AI deployment.
Phison, with its extensive portfolio of PCIe 5.0 NAND flash and signal conditioning solutions for the growing Gen 5 data ecosystem, envisions a modern enterprise data ecosystem that addresses the challenges of today and tomorrow. The company’s low-power, high-performance NAND flash and signal integrity solutions are optimized to deliver balanced workload performance for AI applications. Additionally, Phison’s IMAGIN+ design services enable organizations to create highly efficient NAND flash storage architectures tailored to their specific performance needs, while its aiDAPTIV+ platform integrates high-capacity NAND flash solutions into AI systems.
To learn more about Phison’s predictions for the future of enterprise data infrastructure beyond 2024 and explore their comprehensive lineup of forward-thinking NAND flash products and solutions, visit www.phison.com/en/.
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Background Information
About Phison:
Phison Electronics Corporation, established in 2000 in Taiwan, is a global leader in NAND Flash controller ICs and storage solutions. Phison's innovations in flash memory and controllers have made them a key player in the storage industry, providing technology that powers various storage devices.Latest Articles about Phison
Technology Explained
NAND: NAND technology is a type of non-volatile memory that is used in many computer applications. It is a type of flash memory that is used to store data in a non-volatile manner, meaning that the data is not lost when the power is turned off. NAND technology is used in many computer applications, such as solid-state drives, USB flash drives, digital cameras, and memory cards. It is also used in many embedded systems, such as cell phones, tablets, and other consumer electronics. NAND technology is a reliable and cost-effective way to store data, making it a popular choice for many computer applications.
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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.
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