- Updated: March 31, 2026
- 7 min read
Sony Halts Memory Card Shipments Amid Global NAND Shortage
Sony Halts CFexpress and SD Card Shipments Amid Global NAND Flash Shortage
Answer: Sony has temporarily stopped taking orders for all CFexpress (Type A & B) and SDXC/SDHC memory cards because a severe NAND flash shortage—driven by exploding AI data‑center demand—has left the company unable to secure enough 3‑D TLC NAND wafers, with no clear resumption date before late 2027.

TL;DR
- Sony suspends all new orders for CFexpress (Type A & B) and SDXC/SDHC cards.
- The pause is caused by a global NAND flash shortage intensified by AI‑driven data‑center demand.
- Analysts forecast that normal production may not resume until late 2027 or early 2028.
- The shortage mirrors similar moves by Micron and signals a broader “consumer‑memory crunch.”
Why Sony Is Pulling the Plug
| Factor | Details |
|---|---|
| NAND flash scarcity | Sony’s CFexpress and SD cards rely on TLC 3‑D NAND, the same silicon that powers enterprise‑grade AI SSDs. AI training and inference workloads are gobbling up the limited wafer output, forcing manufacturers to prioritize data‑center customers. |
| AI data‑center demand | Global AI compute capacity is expanding at >30 % YoY. Each new GPU‑dense rack consumes the equivalent of several consumer‑grade SSDs in NAND, draining the supply chain faster than fab capacity can be added. |
| Manufacturer focus shift | Companies such as Micron have already withdrawn from consumer SSD lines to concentrate on enterprise solutions. Flash‑controller maker Phison warned that the shortage could cripple smaller consumer‑electronics firms by 2026. |
| No near‑term production lift | Building new NAND fab capacity takes 3‑5 years. Even aggressive expansion plans won’t free enough wafers for the consumer market until late‑2027/early‑2028. |
“We simply cannot procure the volume of TLC 3‑D NAND required to meet both our AI‑grade and consumer‑grade commitments,” a Sony spokesperson told TechZine.
Impact on Photographers, Videographers & Creators
For professionals who depend on Sony’s high‑speed storage, the halt translates into immediate operational risk:
- CFexpress Type A users (e.g., Sony α7 IV owners) must dip into existing inventory or hunt for alternative brands such as SanDisk or Lexar, which are also feeling pressure.
- CFexpress Type B users (high‑frame‑rate video rigs) face longer lead times and potential price spikes on the secondary market.
- SDXC/SDHC enthusiasts (mirrorless shooters, drone operators, action‑cam users) will see retail shelves thin out, with resale prices climbing 15‑30 %.
- Warranty & support: Sony will continue servicing cards already shipped, but new warranty registrations are on hold until production resumes.
To mitigate risk, many creators are turning to alternative memory solutions that leverage cloud‑backed caching or hybrid SSD‑plus‑RAM workflows. Some are even experimenting with AI‑enhanced compression tools—like the AI Image Generator—to reduce raw footage size before archiving.
The Bigger Picture: A Global “Memory‑Card‑pocalypse”
The Sony announcement is a symptom of a systemic shift in the flash‑memory ecosystem. Below are the three forces converging to create the current crunch:
1. Enterprise SSDs Fueling AI Compute
Training large language models (LLMs) and generative AI video engines can require petabytes of ultra‑fast storage. Vendors such as Samsung and SK Hynix are allocating the majority of their 3‑D NAND output to these high‑margin data‑center contracts, leaving consumer‑grade wafers in short supply.
2. Consumer‑Grade Flash Operating Near Capacity
Current NAND fabs are running at >90 % utilization. When a fab is that full, any shift in demand—like the AI surge—forces a re‑prioritization that squeezes out lower‑priced consumer products, from USB sticks to micro‑SD cards.
3. Long Lead Times for New Capacity
Building a new fab, installing EUV lithography, and ramping up production is a multi‑year endeavor. Even the announced Enterprise AI platform by UBOS predicts that the global NAND shortage will linger through 2028, with a modest recovery only after 2029.
Analysts at Gartner have coined the term “NAND crunch” to describe this prolonged scarcity, warning that it could cascade into higher prices for all flash‑based devices, including smartphones and IoT sensors.
What You Can Do Right Now
While the macro‑trend is out of individual control, there are concrete steps creators and tech‑enthusiasts can take to safeguard their workflows:
- Pre‑stock critical cards – If you own a high‑end Sony camera, purchase a modest buffer of CFexpress or SD cards now, even if you don’t need the full capacity immediately.
- Explore alternative vendors – Brands like AI Video Generator have partnered with third‑party manufacturers that still have limited stock of high‑speed UHS‑III cards.
- Leverage cloud‑burst storage – Services such as AI‑driven cloud archiving can offload raw footage in real time, reducing on‑device storage pressure.
- Adopt AI‑based compression – Tools like the AI Article Copywriter illustrate how generative AI can compress text; similar models exist for video (e.g., AI Video Generator).
- Stay informed – Follow the UBOS news hub for real‑time updates on NAND supply, AI hardware trends, and emerging storage alternatives.
For businesses that rely on large‑scale media pipelines, consider integrating the Workflow automation studio to orchestrate automated backups to multiple cloud providers, ensuring no single point of failure.
Next Steps & Resources
Understanding the NAND shortage is only the first step. To future‑proof your creative workflow, explore the following UBOS resources:
- UBOS homepage – Overview of the platform’s AI‑powered capabilities.
- About UBOS – Learn about the team behind the technology.
- AI marketing agents – Automate campaign creation while you wait for hardware.
- UBOS platform overview – See how the platform integrates with storage APIs.
- UBOS for startups – Scalable solutions for emerging media companies.
- UBOS solutions for SMBs – Tailored tools for small‑to‑medium enterprises.
- UBOS pricing plans – Choose a plan that fits your budget while hardware costs rise.
- UBOS portfolio examples – Real‑world case studies of storage‑aware AI deployments.
- UBOS templates for quick start – Jump‑start projects with pre‑built AI workflows.
- Talk with Claude AI app – Experiment with conversational AI that can help you plan storage strategies.
- AI SEO Analyzer – Optimize your own content while the market adjusts.
- AI Image Generator – Create visual assets without relying on local storage.
- AI Chatbot template – Deploy a support bot that can answer storage‑related queries 24/7.
- Customer Support with ChatGPT API – Enhance your help desk while hardware delays persist.
- AI Voice Assistant – Hands‑free control of cloud storage.
- GPT-Powered Telegram Bot – Get instant alerts on NAND market news.
- AI File Manager – Organize large media libraries efficiently.
- AI Email Marketing – Keep your audience informed about supply updates.
By combining these tools with a proactive storage strategy, you can keep creating, publishing, and scaling—even when physical memory cards are scarce.
Conclusion
Sony’s decision to halt CFexpress and SD card shipments underscores a fundamental shift: AI‑driven demand is now the dominant force shaping the global NAND flash market. Until new fab capacity comes online—likely not until the late‑2027/early‑2028 window—photographers, videographers, and everyday consumers must adapt by pre‑stocking, diversifying vendors, and leveraging cloud‑centric AI tools.
Stay ahead of the curve by regularly checking the UBOS news hub for the latest supply‑chain insights, and consider integrating the platform’s AI‑powered automation to future‑proof your workflow.
For a deeper dive into how AI is reshaping storage, read our Why AI is Driving a Global NAND Flash Shortage article.
Andrii Bidochko
CTO UBOS
Andrii Bidochko is an AI entrepreneur and researcher focused on AI agents, reinforcement learning, and autonomous systems. He writes about the technologies shaping the future of machine intelligence, from frontier models and agent architectures to real-world AI applications.