Lexar and ASUS Collaborate on AI Storage and Gaming Solutions at Computex 2026
Lexar unveiled a collaboration with ASUS at Computex 2026, highlighting new AI-focused storage and memory technologies announced in a press release. The showcase features Lexar's AI storage solutions for compact PCs, edge systems, and gaming platforms, emphasizing the role of storage in accelerating local AI workloads.
At the event, Lexar presented an AI-grade Gen4 SSD integrated with the ASUS NUC 15 Pro Mini PC, demonstrating storage optimization for compact AI computing. The companies are also exploring future AI storage formats, including an AI-grade Storage Stick concept for flexible expansion. In gaming, Lexar displayed its PLAY X PCIe 4.0 M.2 NVMe SSD with the ASUS ROG XBOX ALLY handheld, offering read speeds up to 7400 MB per second and write speeds up to 6500 MB per second.
Lexar also showcased ARES RGB DDR5 ROG Certified memory developed with ASUS ROG motherboards, supporting high bandwidth and large capacities for AI PCs and gaming. The company demonstrated its Gen5 SSD and Storage Stick concepts, designed to deliver up to 11 GB per second bandwidth for edge AI devices.
The collaboration builds on Lexar’s AI Storage Core platform, which integrates Longsys’ Gen5 Storage Processing Unit and Intelligent Scheduling technologies. These systems are designed to enhance AI inference performance by managing large model data and reducing DRAM requirements. Visitors can view the full range of Lexar’s AI storage and memory products at the Nangang Exhibition Center in Taipei from June 2 to 5.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.
Also, consider following us on social media:
More from Data Centers
Oct 16 EverWind Plans 420 Megawatt AI Data Centre in Nova Scotia Oct 16 Gartner Says $3.5 Trillion in AI Infrastructure Spending Faces Impairment Risk by 2030 Oct 16 KBRA Rated Anthropic BB+ Before $35 Billion Chip Financing Oct 16 China Proposes Export Controls for Advanced AI Models and Chips Oct 16 Hitachi Energy and Ansaldo Energia Partner on Data Center Power SystemsSilicon Brief
Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
ASUS Unveils Vera CPU Server for AI Agent Workloads
Wistron and Wiwynn Show NVIDIA Rubin AI Systems at OCP Summit
BIOSTAR Shows Edge AI Systems at Tech Week Singapore 2026
MINISFORUM Launches MS-S1 MAX-P495 With 192GB Memory
Huawei Introduces OceanStor M900 Storage for AI Inference
Daily AI Brief: the AI news that matters, in your inbox.