dynamic random-access memory
PulseAugur coverage of dynamic random-access memory — every cluster mentioning dynamic random-access memory across labs, papers, and developer communities, ranked by signal.
- partners with NAND flash 90%
- instance of Changxin Memory Technologies 90%
- instance of DDR4 SDRAM 90%
- instance of Sram 90%
- instance of DDR5 SDRAM 90%
- instance of Hbm4 90%
- instance of HBM3E 90%
- used by Rubin ultra 90%
- instance of LPDDR6 90%
- instance of DDR3 SDRAM 90%
- instance of Hbm4e 90%
- instance of High Bandwidth Memory 70%
16 day(s) with sentiment data
-
AI agents to report tool progress for better performance
Researchers have developed a new method for AI agents to better manage their progress when using external tools. Current systems often guess how long a tool will take, leading to inefficient use of GPU memory. The propo…
-
China's CXMT reports 25% HBM yield; YMTC eyes hybrid-bond DRAM
Changxin Memory Technologies (CXMT) is reportedly achieving a near 25% yield for its High Bandwidth Memory (HBM) production. Concurrently, Yangtze Memory Technology Corp. (YMTC) is exploring plans for a dynamic random-a…
-
Piecemakers bets on custom DRAM for edge AI, diverging from HBM
Piecemakers Technology, Inc., a DRAM designer backed by Nanya Technology, is focusing on custom memory solutions for edge AI devices rather than High Bandwidth Memory (HBM). The company believes that inference memory ne…
-
AMD MI355X closes performance gap with GB300 via SGLang and UMBP integration · 3 sources tracked
SemiAnalysis reports that AMD's MI355X is rapidly improving in agentic inference performance and total cost of ownership, nearing parity with GB300. This advancement is attributed to AMD's SGLang team and their MoRI lib…
-
China's CXMT nearly doubles DRAM sales to capture 9.5% market share
In Q2 2026, Samsung maintained its leading position in the dynamic random-access memory (DRAM) market. However, China's Changxin Memory Technologies (CXMT) significantly increased its sales, capturing 9.5% of the $154.7…
-
4-hi HBM offers superior bandwidth and cost efficiency, according to analysis
The article argues that 4-hi High Bandwidth Memory (HBM) is superior due to its ability to offer the same bandwidth as other HBM configurations while utilizing fewer DRAM dies. This efficiency translates to reduced infe…
-
China's CXMT reports unprecedented 82% DRAM EBIT margin
China's Changxin Memory Technologies (CXMT) has reported an 82% EBIT margin for Q2, a figure that is exceptionally high for the typically cyclical DRAM industry. This remarkable profitability surpasses that of major pla…
-
Databricks boosts Lakebase Postgres speed with new compute cache
Databricks has enhanced the compute cache for Lakebase Postgres, aiming to improve performance and reduce latency for users. The company has implemented a local file cache (LFC) that works alongside Postgres's shared bu…
-
AI boom strains memory chip supply, impacting consumer electronics
The global demand for AI data centers is creating a severe shortage of memory chips, particularly High Bandwidth Memory (HBM). This has led to inventory levels for major manufacturers like Samsung and SK Hynix dropping …
-
GPU memory writes: A deep dive into RTX 4090 data flow
This technical deep dive explains the process of a GPU writing data back to memory, specifically focusing on the STG.E instruction on an RTX 4090. The article traces the data's journey from the warp through the load/sto…
-
Notebook hardware costs surge, impacting supply chains
The cost of core hardware components for notebooks, including CPUs, DRAM, and SSDs, has significantly increased, now making up 68% of the total bill of materials compared to 45% a year prior. This rise in hardware expen…
-
Samsung, TSMC to adopt ASML's advanced EUV tech by 2030
Samsung and TSMC are set to adopt ASML's advanced High NA EUV lithography machines, with Samsung aiming for 2028 and TSMC for 2030. This technology, previously exclusive to Intel, is crucial for producing next-generatio…
-
Apple's iPhone 18 Pro and Watch Series 12/Ultra 4 features leak; DRAM prices to see modest Q3 growth
Code leaks from iOS 27 and watchOS 27 betas suggest upcoming features for the iPhone 18 Pro and Apple Watch Series 12 and Ultra 4. These potential upgrades include enhancements to the iPhone's camera app and new functio…
-
LLM inference bottlenecked by memory, not compute, driving new cost-saving strategies
The primary constraint for serving large language models is often memory, specifically the KV cache, rather than raw compute power. This KV cache, which stores intermediate values for tokens, grows linearly with context…
-
DRAM contract prices to rise 13-18% in Q3 amid AI demand
Contract prices for dynamic random-access memory (DRAM) are projected to increase by 13-18% in the third quarter. This growth is attributed to ongoing demand from the AI sector, though consumer PC upgrades are reportedl…
-
Kioxia proposes flash memory for AI data centers to cut hardware costs
Kioxia has developed a new Compute Express Link (CXL) memory module that uses flash memory instead of traditional dynamic random-access memory (DRAM). This innovation aims to reduce hardware costs in AI data centers by …
-
Volatile vs. Non-Volatile Memory: Understanding the Core Differences
Volatile memory, such as DRAM and SRAM, requires a constant power supply to retain data, making it suitable for active processing and CPU caches. In contrast, non-volatile memory, like NAND flash used in SSDs and NOR fl…
-
Google reportedly developing AI-enhanced DDR5 RAM
A report suggests that Google is developing new DDR5 RAM modules that could potentially enhance AI performance. The details surrounding these advancements are still unconfirmed, with the source indicating a lack of veri…
-
Chinese chipmaker CXMT accused of stealing Samsung DRAM tech via 'Project Hefei' roadmap
A South Korean court is investigating allegations that Chinese chipmaker CXMT, also known as Changxin Memory Technologies, used a detailed roadmap called 'Project Hefei' to steal Samsung's trade secrets. This alleged in…
-
AI boom drives hardware costs, overprovisioning, and need for trusted automation
The AI boom has significantly increased hardware costs and lead times, with Big Tech investing heavily in infrastructure and DRAM/SSD prices surging. Enterprises face challenges with overprovisioned clusters where high …