To cover the mass production of some 80 new touch tablet PCs flowing to eager consumers, the NAND flash memory business will need to produce a huge amount more solid-state chips in 2011 over 2010 totals, industry analyst IHS iSuppli reported Feb. 11.
Consumption of the solid-state memory for processors used in the super-popular tablets is expected in 2011 to rocket to 2.3 billion GB. This represents a whopping 382.4 percent increase over 2010, said Dee Nguyen, analyst for memory and storage at IHS iSuppli.
The industry produced less than a half-billion GB of NAND flash-about 476.8 million GB-last year. Most of that capacity went into consumer smartphones, cameras and more than 10 million Apple iPads.
The need for NAND flash isn’t going to slow down anytime soon, iSuppli said. Shipments of NAND for tablets are on their way to a total of 12.3 billion GB by 2014, the analyst said.
Helping this trend in a big way will be devices such as Motorola’s Xoom, Samsung’s Galaxy and new tablets and smartphones from HP-the Slate 500 and TouchPad tablets and Veer and Pre3 phones, the latter three due out in the middle of this year.
NAND flash for tablets are mainly for the storage of content, such as books, photos, music and movies.
The proportion of NAND flash use among tablets, measured against the total supply of NAND memory, will jump to 11.8 percent in 2011, significantly up from 4.3 percent last year. By 2014, that figure will climb to 16 percent, iSuppli said.
“The bump in NAND consumption among tablets is likely to come from devices such as Apple’s iPad as well as a raft of tablet devices powered by the rival Android operating system, expected to hit the market this year,” Nguyen of IHS iSuppli said.
“Together, the iPad and Android-based tablets form one strand of the tablet experience offered by manufacturers-one centering on Internet-based media consumption. For such tablets, internal storage capacity is less an issue because the devices are intended to provide entertainment, not a full PC computing experience.”
Average memory densities will range from 27.1GB for non-iPad slates to 41.5GB in the iPad, the analyst said.

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented data, weak metadata, slow pipelines, and poor data locality can stall AI projects before models ever reach production.

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise.

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly uncertain world. They explore how automation, AI, and integrated platforms are helping finance teams tackle today’s biggest challenges, from cross-border compliance and FX volatility to […]
-
Latest News - Resources Resource HubsFeatured ResourcesLink to The Real AI Power Play: Who Controls Your Enterprise Data Layer?
The Real AI Power Play: Who Controls Your Enterprise Data Layer?IT and data teams were promised that AI would make work easier. Instead, it's created new layers of complexity.Link to Building the Backbone of Agentic AI with Trusted, Context-Rich Data
Building the Backbone of Agentic AI with Trusted, Context-Rich DataIn this 10-minute take video, Reltio Principal Solutions Consultant Guy Vorster explains how organizations can overcome fragmented data challenges to power AI agents.Link to IHG scales real-time, trusted data across global brands
IHG scales real-time, trusted data across global brandsAccelerating time to value while powering data-driven engagementLink to Dell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform Infrastructure
Dell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform InfrastructureAI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented data, weak metadata, slow pipelines, and poor data locality can stall AI projects before models ever reach production.
Link to BMC’s Jennifer Margules on Intelligent Enterprise Orchestration
BMC’s Jennifer Margules on Intelligent Enterprise OrchestrationIn this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise.
Link to Global-First Finance: Building Scalable, Compliant Operations in an Uncertain World
Global-First Finance: Building Scalable, Compliant Operations in an Uncertain WorldeSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly uncertain world. They explore how automation, AI, and integrated platforms are helping finance teams tackle today’s biggest challenges, from cross-border compliance and FX volatility to […]
-
Artificial Intelligence -
Video -
Big Data & Analytics -
Cloud -
Networking - Cybersecurity Cybersecurity
- Applications Applications
- IT Management IT Management
- Storage Storage
- Mobile Mobile
- Small Business Small Business
- Development Development
- Database Database
- Servers Servers
- Android Android
- Apple Apple
- Innovation Innovation
- PC Hardware PC Hardware
- Reviews Reviews
- Search Engines Search Engines
- Virtualization Virtualization
-
- Blogs Blogs
- Events Events