SK hynix and Nvidia plan 100M IOPS artificial intelligence NAND by 2027

SK hynix is collaborating with Nvidia on next generation artificial intelligence focused NAND that aims to dramatically increase I/O performance for data center and on-device workloads by 2027.

SK hynix is pushing hard on next-gen artificial intelligence NAND, and 2027 seems to be its next major milestone, with the company collaborating with Nvidia on ultra-fast artificial intelligence focused NAND chips intended to greatly raise storage performance. According to a ZDNet report, the company is working with Nvidia to build ultra-fast artificial intelligence focused NAND chips that could hit up to 30x the performance of today’s enterprise SSDs. Early samples are planned for late 2026, with second-gen entering mass production by the end of 2027, marking a staged rollout aimed at quickly bringing the new architecture into real-world deployments.

A central pillar of this push is the SK hynix AI-N P high-performance SSD architecture, which is aimed at removing I/O bottlenecks in large artificial intelligence inference workloads where storage throughput can limit accelerator utilization. ZDNet says the redesigned NAND and controller are already in proof-of-concept (PoC) testing with Nvidia, indicating the partners are validating both the media and controller stack together. SK hynix is targeting 25 million IOPS on PCIe Gen 6 for first samples next year, and 100 million IOPS for the production version in 2027. For comparison, current enterprise SSDs manage roughly 2-3 million IOPS (high-end models), which highlights how aggressively SK hynix is trying to exceed existing data center storage performance levels.

The roadmap also includes AI-N B, better known as HBF (High Bandwidth Flash), which is developed with Sandisk to address bandwidth-bound workloads alongside the IOPS-focused AI-N P products. An alpha spec is expected in early 2026 with evaluation units coming in 2027, giving partners time to test and integrate the technology. Behind all these efforts a broader strategy starts to unveil with SK hynix next-gen artificial intelligence NAND chips split into three. First we have AI-N P (ultra-high performance SSD) for performance, AI-N B (High Bandwidth Flash) for bandwidth, and AI-N D (High Capacity/Low Cost SSD) for higher-capacity and lower-cost designs. ZDNet adds that SK hynix views the artificial intelligence market as two distinct fronts: large data-center deployments demanding massive throughput, and on-device artificial intelligence favoring low-power efficiency, with SK hynix positioning its AI-N lineup to serve both with the 2026 AI-N P generation expected to offer roughly 8-10x the performance of current SSDs.

68

Impact Score

Indiana launches Artificial Intelligence business portal

Indiana is rolling out IN AI, a statewide portal meant to help employers adopt Artificial Intelligence with practical guidance, workshops and peer support. State leaders and business groups are positioning the effort as a way to raise productivity, wages and job growth while keeping workers at the center.

Goodfire launches model debugging tool for large language models

Goodfire has introduced Silico, a mechanistic interpretability platform designed to let developers inspect and adjust model behavior during development. The company is positioning it as a way to give smaller teams deeper control over open-source models and more trustworthy outputs.

Nvidia launches nemotron 3 nano omni for enterprise agents

Nvidia has introduced Nemotron 3 Nano Omni, a multimodal open model designed to support enterprise agents that reason across vision, speech and language. The launch extends Nvidia’s push beyond hardware into models and services while targeting more efficient agentic workflows.

Intel 18A-P node improves performance and efficiency

Intel plans to present new results for its 18A-P process at the VLSI 2026 Symposium, highlighting gains in performance, power efficiency, and manufacturing predictability. The updated node is positioned as a stronger option for customers seeking 18A density with better operating characteristics.

EA CEO defends broader Artificial Intelligence use in game development

EA CEO Andrew Wilson defended the company’s internal use of Artificial Intelligence after employee claims that the tools were slowing work rather than helping. He framed the technology as an aid for repetitive quality assurance tasks, even as concerns persist over its broader impact on development.

Contact Us

Got questions? Use the form to contact us.

Contact Form

Clicking next sends a verification code to your email. After verifying, you can enter your message.