The explosive growth of artificial intelligence is transforming the semiconductor industry, and nowhere is this more evident than in the memory sector. AI training and inference workloads are fundamentally memory-intensive, driving unprecedented demand for advanced DRAM architectures, High Bandwidth Memory (HBM), and… Read More
Tag: dram
Scaling DRAM Technology to Meet Future Demands: System Challenges and Opportunities
Tutorial Abstract
Since the invention of the 1T1C bit cell more than 50 years ago, DRAMs have become the main memory of choice for processors in computing systems and consumer electronics devices. As new computing paradigms have been created, including AI, 3D graphics, HPC, cloud computing, and smart phones, specialized processors… Read More
Self-Aligned Spacer Patterning for Minimum Pitch Metal in DRAM
The patterning of features outside a DRAM cell array can be just as challenging as those within the array itself [1]. The array contains features which are densely packed, but regularly arranged. On the other hand, outside the array, the minimum pitch features, such as the lowest metal lines in the periphery for the sense amplifier… Read More
Memory Innovation at the Edge: Power Efficiency Meets Green Manufacturing
By Tetsu Ho
With the ever-increasing global demand for smarter, faster electronic systems, the semiconductor industry faces a dual challenge: delivering high-performance memory while reducing environmental impact. Winbond is meeting this challenge head-on by embedding sustainability into every layer of its operations—from… Read More
Predictive Load Handling: Solving a Quiet Bottleneck in Modern DSPs
When people talk about bottlenecks in digital signal processors (DSPs), they usually focus on compute throughput: how many MACs per second, how wide the vector unit is, how fast the clock runs. But ask any embedded AI engineer working on always-on voice, radar, or low-power vision—and they’ll tell you the truth: memory stalls … Read More
Thanks for the Memories
The December 2024 WSTS forecast called for strong 2024 semiconductor market growth of 19%. However, the strength is limited to a few product lines. Memory is projected to grow 81% in 2024. Logic is expected to grow 16.9%. The micro product line should show only 3.9% growth, while discretes, optoelectronics, sensors and analog … Read More
LRCX- Coulda been worse but wasn’t so relief rally- Flattish is better than down
- Lam put in good quarter with flattish guide- still a slow recovery
- This is better than worst case fears of order drop like ASML
- China spend is slowing but tech spending increase offsets
- Relief rally as the market was braced for bad news and got OK news
Lam has OK, slightly better than in line quarter with OK guide….
It coulda been… Read More
5 Expectations for the Memory Markets in 2025
TechInsights has a new memory report that is worth a look. It is free if you are a registered member which I am. HBM is of great interest and there is a section on emerging and embedded memories for chip designers. Even though I am more of a logic person, memory is an important part of the semiconductor industry. In fact, logic and memory
Elevating AI with Cutting-Edge HBM4 Technology
Artificial intelligence (AI) and machine learning (ML) are evolving at an extraordinary pace, powering advancements across industries. As models grow larger and more sophisticated, they require vast amounts of data to be processed in real-time. This demand puts pressure on the underlying hardware infrastructure, particularly… Read More
AMAT Underwhelms- China & GM & ICAP Headwinds- AI is only Driver- Slow Recovery
- AMAT reports good but underwhelming quarter
- China slowing creates revenue & GM headwinds- ICAPs weak
- AI remains the one and only bright spot in both foundry & memory
- Cyclical recovery remains slow – Single digit Y/Y growth
OK quarter – still slow growing, revs up only 5% Y/Y
AMAT came in at revenues of $6.78B… Read More
