SAN FRANCISCO, April 30, 2026 /PRNewswire/ -- Dreame Technology, a global leader in high-end technology, today showcased its vision for smart personal care at the "Self Next" session of its DREAME NEXT Silicon Valley Launch Event, the company's global brand event unveiling new products across its full portfolio.
The Self Next session was headlined by a group of U.S.-bound debuts, including the AirStyle Pro HI styler, the Aero Straight Pro styler, and the all-new concept product Halo floor-standing hair dryer. Each delivers a notable technical breakthrough in its category and is slated to arrive at major U.S. retailers later this year.
"Personal care is moving from passive tools to intelligent, responsive companions, and U.S. consumers are responding fast," said Ms. Mengjing Xu, Global President of Personal Care Business Group at Dreame. "We closed Q1 2026 with a 1,230% year-over-year revenue increase in North America, and we are doubling down on the U.S. market with deeper retail partnerships, stronger local teams and a product lineup built specifically for American consumers."
At the event, Dreame Personal Care also underscored its commitment to the local community by donating a selection of personal care products, including T3 shavers and Pocket hair dryers, to The Welcome Home Project, a San Francisco-based nonprofit supporting families transitioning into permanent housing. The donation was made in the presence of Rafael Mandelman, President of the San Francisco Board of Supervisors, who recognized Dreame's meaningful contribution to the local community and its commitment to giving back where it operates.
Building on this commitment, Dreame Personal Care also announced an expanded outreach initiative dedicated to supporting San Francisco's unhoused population, donating highly practical everyday personal care essentials such as shavers and hair dryers, to help individuals maintain personal dignity, hygiene and confidence as they navigate the path toward stable housing. Through these initiatives, Dreame aims to demonstrate that technology, when combined with empathy, can make a tangible difference in people's daily lives.
A Complete Smart Personal Care Ecosystem, Coming to the U.S.
The "Self Next" session lineup extends across hair care, skin care, men's grooming and oral care, anchored by a group of U.S.-bound debuts.
- AirStyle Pro HI: A flagship 8-in-1 intelligent styling kit powered by 130,000 RPM high-speed airflow technology, covering everything from everyday routines to elevated styling occasions. Through the Dreame app's intelligent hair recognition feature, users can build a personalized hair profile and let the device automatically match the optimal styling mode. Drying, curling, straightening and finishing are all handled by a single device, bringing salon-grade results into the daily routine.
- Aero Straight Pro Styler: A breakthrough form factor that fuses drying and straightening into one. Built on an innovative dual hot-and-cold airflow channel design, Aero Straight Pro combines hot-air drying with cold-air setting in a single pass, delivering smooth, sleek hair in one step. Powered by smart hair recognition and real-time temperature-and-moisture sensing, users can create personalized styling routines through the Dreame app. A triple care formula of keratin, argan oil and negative ions nourishes hair throughout the styling process, turning every styling session into a hair-care session. The product was named a CES 2026 Award winner by Digital Trends, a leading North American consumer technology publication.
- Halo: A floor-standing, hands-free hair dryer shaped as a sculptural arc that fits naturally into a bedroom or dressing area. Its smart positioning system tracks the user's head in real time and auto-adjusts airflow, drying hair evenly while the wearer reads, applies skincare or unwinds after the day.
Alongside these U.S.-bound debuts, Dreame Personal Care brought its wider beauty portfolio to the Self Next stage. Among the highlights was the Pilot 20 Intelligent Hair Dryer, the flagship model first introduced at CES 2026, which features dual robotic arms that sense scalp and hair conditions, then proactively adjust airflow accordingly.
The Miracle Pro Hair Dryer and Pocket were also on display, alongside a range of disruptive innovations across beauty, men's grooming and oral care, giving attendees a hands-on view of Dreame Personal Care's full ecosystem spanning hair, scalp, skin and beyond.
Global Authority and Professional Recognition, Setting a New Standard in Beauty
Alongside its technology breakthroughs, Dreame Personal Care has earned broad recognition from the international professional beauty community. The brand has been officially accredited by Intercoiffure Mondial (ICD), the global association representing the world's top hairdressers — a level of professional endorsement that is rare for a consumer electronics brand. At the event, Dreame Personal Care also joined forces with ICD to stage the Dreame Hair Show, an immersive runway presentation themed "Setting the Trends for the Season," jointly defining the direction of 2026 global hair fashion.
Dreame Personal Care has also signed leading stylists as Dreame Global Tech Aesthetics Ambassadors, joining the elite circle of professionals who define red-carpet and editorial styling standards. The brand has officially launched its Global Roadshow, bringing its technology to international fashion weeks, film festivals and high-profile red-carpet moments including the upcoming Met Gala.
On the strength of sustained innovation, Dreame Personal Care has earned more than 30 industry awards worldwide. The Miracle Pro high-speed hair dryer was named a winner of CNN's 2026 Innovation of the Year award in January 2026 and took Best Beauty and Personal Care Product at IFA 2025; the Pocket hair dryer won the COSMO Hair Master Award from leading fashion title Cosmopolitan; the AirStyle Pro HI App took Bronze at the SHOP! Design Awards 2025; and the brand has been recognized repeatedly at CES, IFA and AWE.
That credibility is grounded in deep R&D: more than 11,000 patents filed and over 1,400 granted, covering breakthrough innovations such as essence misting technology, a foldable portable hair dryer design, smart temperature control and smart nozzle recognition. It is innovation of this depth that gives Dreame Personal Care the ability to raise the standard of at-home hair care in the United States and around the world.
Accelerated U.S. Channel Expansion
In Q1 2026, Dreame Personal Care's North America revenue surged 1,230% year-over-year. On the back of that growth, Dreame Personal Care is scaling its U.S. presence on two fronts. Online, the brand has built a solid sales base on Amazon and other major e-commerce platforms. Offline, it is widening its consumer footprint through immersive retail experiences.
At the center of that offline strategy is the brand's Silicon Valley flagship store, the cornerstone of its U.S. retail presence. By the end of 2026, Dreame Personal Care expects to be available across major U.S. retail channels, bringing its full lineup into American homes.
With DREAME NEXT 2026 and the Self Next vision, Dreame Personal Care is shaping the next chapter of the everyday experience, one smart device at a time.
About Dreame Technology
Established in 2017, Dreame Technology is a global leader in high-end consumer electronics and intelligent manufacturing with the vision to empower lives through technology. Follow us on Facebook, Instagram, TikTok and Twitter. For more information, visit https://global.dreametech.com/
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Dreame Unveils Next-Generation Personal Care Lineup at DREAME NEXT 2026, Backed by 1,230% North American Growth
SHENZHEN, China, Sept. 26, 2026 /PRNewswire/ -- On September 23, the 5th GMIF2026 Innovation Summit successfully concluded at the Renaissance Shenzhen Bay Hotel. Co-hosted by the Shenzhen Memory Industry Association (SMIA) and School of Integrated Circuits at Peking University, the summit, themed "The Future Built on AI Memory and Storage," has brought together industry forces from IDMs, controllers, and memory solution providers to OSATs, equipment and material suppliers, server and AI infrastructure vendors, automotive electronics companies, AI applications developers, academic institutions, and investors. In-depth discussions explored the evolution of memory and storage technologies, industry trends, and application innovations in the AI era.
As AI training and inference workloads continue to scale, the boundaries of memory and storage technology and its applications keep expanding — from storage media and controllers to system architecture and AI applications themselves. GMIF 2026 approached the industry through the lens of the token economy, spotlighting inference efficiency, enterprise-grade storage, cloud-edge-device coordination, industrial capital, and the shifting global competitive landscape.
Five Years of GMIF: A Platform Built Around the Memory & Storage Industry
The summit officially kicked off with an opening remarks from Rixin Sun, President of the Shenzhen Memory Industry Association (SMIA). He looked back on GMIF's growth since its founding in 2019. Now in its fifth consecutive year, the summit has steadily expanded in scale, industry reach, and influence, with its agenda consistently tracking the pulse of the storage sector.
President Sun said GMIF will continue to pursue a more specialized and differentiated approach going forward — staying close to frontier industry trends and supply-chain coordination, while connecting storage companies with adjacent players in AI compute and end-user applications to drive technical exchange, supply-demand matching, and ecosystem collaboration.
As AI Inference Accelerates, Memory & Storage's Value Climbs
Daniel Yen, Executive Director at Morgan Stanley, opened the technical discussion with a look at how generative and agentic AI are reshaping infrastructure demands. As model weight loading, KV cache management, and data read/write scheduling grow more complex, Daniel noted that AI capital expenditure keeps rising — and memory and storage's share of that investment, and its strategic value, are rising with it. He pointed to the "memory wall" as a defining challenge now driving fresh innovation in storage architecture, advanced packaging, and related technologies.
Yimao Cai, Dean of School of Integrated Circuits at Peking University, addressed the topic from the angle of AI inference architecture, discussing the growing role of high-bandwidth storage and multi-media integration. As large model inference drives up demand for capacity, bandwidth, and cost efficiency, Prof. Cai suggested that high-bandwidth flash (HBF) and heterogeneous multi-media storage architectures stand to play a larger role — combining HBM, NAND, and RRAM to strike a better balance between performance, capacity, and cost for AI inference.
Global IDMs Race to Meet the Demands of Agentic AI
Kevin Yoon, CVP & CTO of Samsung Memory China at Samsung Electronics, discussed memory architecture in the age of agentic AI. As agentic AI drives token generation and KV cache volumes to new heights, AI systems are placing greater demands on capacity, bandwidth, and energy efficiency. He outlined Samsung's progress on Z-NAND, PCIe Gen6 SSDs, and ultra-high-capacity data center SSDs, and discussed how tiering across different storage media can more efficiently support KV cache and model weight storage.
Maya Zhang, Senior Director of Product Marketing at Sandisk, focused on data storage needs in the age of AI inference. As multimodal models, long-context processing, and increasingly sophisticated agents continue to grow KV cache demands, she noted, NAND flash is becoming ever more central to AI infrastructure. She added that more flexible data tiering and reuse across SSDs can improve efficiency for different AI workloads, and that high-density technologies like QLC are set to see broader adoption in AI use cases.
Benny Ni, GAR Sales VP at Solidigm, addressed enterprise SSDs' role in AI infrastructure amid growing data volumes and operational demands. As model size, token counts, and inference complexity all continue to climb, he said, memory offloading and data tiering are becoming core components of AI system architecture — with high-capacity QLC SSDs paired with high-performance storage offering a more efficient, cost-effective data foundation for inference.
Cloud, Edge, and Device: AI Opens New Ground for Memory & Storage
John Xavier Lionel, Head of Global Storage Business at Arm, spoke on system-level coordination in AI inference, noting that inference spans compute, memory, storage, and data movement — all of which require holistic architectural optimization. As small models, quantization, and heterogeneous NPUs continue to advance, he said, AI deployment will increasingly span cloud, edge, and device, with local storage taking on a larger role in hosting model weights, knowledge bases, and application data.
Stanley Huang, AVP at Silicon Motion, focused on storage requirements in multi-agent, concurrent-use scenarios, where differing tasks demand tailored QoS, latency, and resource allocation. He described how Silicon Motion's controller and resource-scheduling technologies improve storage efficiency under complex workloads, spanning enterprise SSDs, server storage, mobile UFS, autonomous driving, and robotics applications.
Sam Sun, Chairman at BIWIN, discussed how AI is simultaneously driving storage demand across data centers, edge, and endpoint devices — each with distinct requirements. In data centers, he noted, AI training and inference are pushing up demand for enterprise SSDs and server memory; at the edge and endpoint, applications like AI/AR glasses, AI PCs, smart vehicles, and industrial equipment are pushing storage toward smaller form factors, lower power consumption, higher reliability, and tighter system integration. Sam Sun said BIWIN continues to leverage its integrated solutions and manufacturing capability across enterprise, embedded, PC and mobile, industrial, and automotive product lines — with innovations like Mini SSDs, ultra-compact embedded storage, and wide-temperature industrial SSDs opening new ground in the AI era.
From Compute Infrastructure to Token Production, Deeper System-Level Integration
Tao Zhou, General Manager of the Server Division at Lenovo ISG China, discussed the concept of the "token factory." As enterprise AI moves from proof-of-concept to large-scale deployment, he said, improving the efficiency of AI infrastructure and sustaining stable token output have become critical industry priorities. He also described how top-level design, data governance, compute optimization, and security management — combined with pooled training/inference resources and hardware-software coordination — are helping enterprise AI infrastructure evolve from simple compute buildout into systematic operations.
Fan Zhang, Chief Computing Architect at NEXWISE, discussed integrated management and scheduling across cloud, compute, and storage resources from an operations standpoint, showing how coordination across compute, storage, and software platforms can improve overall infrastructure efficiency.
Wei Xiong, CTO of Infplane, focused on storage tiering in large model inference, explaining how hot/cold data tiering and intelligent scheduling can shift more inference workload onto SSDs — reducing memory footprint and improving token output efficiency.
Across servers, AI computing centers, and storage systems, deeper coordination among compute, memory, storage, networking, and software scheduling is emerging as a defining trend in AI infrastructure.
From Core Technology to Real-World Application, AI Memory & Storage Ecosystem is Converging Fast
As AI continues to move into automotive, robotics, and enterprise applications, the connection between the storage industry and AI use cases keeps deepening.
Junjia Chen, AI Product Director at SYNCORE, discussed the application of agent architecture in automotive scenarios, focused on smart cockpits and vehicle-wide intelligence.
Lusha Chen, General Manager for APAC at Dify, introduced a "workflow plus agent" model for enterprise AI, connecting large models, corporate knowledge bases, business systems, and end-user applications to embed AI more deeply into enterprise workflows.
Gongjie Liu, Regional Director for Central & Southern China & General Manager of Branch Office at Paratera, discussed multi-model access, unified management, and enterprise AI services built around a MaaS platform.
Zhen Li, VP of Genstoraige, spoke to the concept of "storage-powered compute," covering data hosting, high-speed interconnects, and intelligent scheduling within AI systems.
Yunjie Ye, Chairman of Numbers Law, presented the company's work on next-generation mechanical storage architectures for large-capacity data storage.
Ming Zhao, General Manager of OKN Technology, addressed testing requirements for the AI era, describing how test equipment is evolving to support higher speeds, more complex scenarios, and real-world workload simulation for PCIe 6.0 SSDs, memory, and increasingly demanding AI applications — laying the groundwork for the development and large-scale deployment of next-generation storage products.
The Future Built on AI Memory & Storage
From AI inference to agentic AI, from emerging storage media to enterprise SSDs, from data centers to edge and endpoint devices, and from controllers, packaging, and testing equipment to servers, AI computing platforms, and applications, GMIF 2026 highlighted the technological innovation and industry transformation taking place across the memory and storage ecosystem in response to AI.
The massive volumes of data that AI generates, retrieves, and moves are steadily elevating memory and storage's role within the broader computing stack. Demand for high-capacity, high-bandwidth, and high-reliability storage in data centers continues to climb, while emerging endpoints — AI PCs, smart vehicles, AI/AR glasses, robotics — keep opening new application space. Together, cloud, edge, and device are shaping a richer and more complex set of storage requirements for the AI era.
Meanwhile, the technology itself keeps moving — HBM, HBF, NAND flash, enterprise SSDs, and a handful of newer media all advancing in parallel, with controllers, packaging, testing, and software scheduling evolving alongside them into tighter, more coordinated systems.
Now in its fifth successful year, GMIF has established itself as a leading platform for exchange across the global memory and storage industry. Looking ahead, GMIF will continue to focus on technological innovation, industry trends, and supply-chain collaboration — bringing together key players from across the global industry, pursuing an increasingly specialized and differentiated event model, and fostering deeper exchange and cooperation across the storage value chain.
Media Contact:
Carina Gu
wenjing.gu@gmif.com.cn
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
AI Memory & Storage: The 5th GMIF2026 Innovation Summit Successfully Concludes in Shenzhen
