High Bandwidth Memory
PulseAugur coverage of High Bandwidth Memory — every cluster mentioning High Bandwidth Memory across labs, papers, and developer communities, ranked by signal.
- partners with SK Group 90%
- used by Cowos 70%
- developed by Hbm4 70%
- instance of Hbm4 70%
- used by SK Group 70%
- competes with Changxin Memory Technologies 70%
- developed by SK Group 70%
- affiliated with Chey Tae-won 70%
- used by Crescent Island 70%
- used by Mingxin FX100 70%
- used by Embedded Multi Die Interconnect Bridge 70%
- partners with Chey Tae-won 70%
- 2026-06-02 research_milestone TrendForce projects HBM contract prices to potentially double by 2027 due to ongoing DRAM shortages and manufacturing complexities. source
23 day(s) with sentiment data
Samsung's HBM production delays due to bonus dispute to impact Q3 2026 AI accelerator availability
The ongoing bonus dispute at Samsung, leading to worker revolts and production halts, directly impacts the testing and packaging of AI memory chips. This disruption is likely to cause delays in Samsung's HBM production schedules, potentially leading to a shortage of critical components for AI accelerators in Q3 2026.
Micron's US DRAM expansion to partially offset HBM-driven shortages in automotive and defense sectors
Micron's investment in US-based DDR4 DRAM production, supported by the CHIPS Act, aims to alleviate shortages in critical sectors like automotive and defense. While HBM demand pulls capacity away from these sectors, Micron's expansion could provide a much-needed supply buffer for older memory standards.
HBM demand is significantly constraining supply for traditional memory markets
The increasing demand for HBM in AI data centers is consuming a larger portion of wafer capacity, leading to a shortage of traditional DDR and LPDDR memory. This shift is driving up prices for consumer electronics and impacting the availability of memory for non-AI applications.
HBM supply constraints to persist through 2027, impacting consumer electronics availability
Evidence suggests memory manufacturers are prioritizing high-margin HBM for AI, leading to shortages and price increases for traditional DDR and LPDDR memory used in consumer electronics. With new capacity not expected until late 2027, this constraint is likely to continue affecting the availability and affordability of devices like smartphones.
Samsung's HBM packaging advancements may target mobile integration
Samsung is developing advanced HBM packaging technology that could be integrated into mobile devices. This is notable given the current trend of HBM consuming significant wafer capacity for AI data centers, potentially indicating a future where high-performance memory becomes more prevalent in consumer mobile hardware.
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Intel CEO hints at return to memory business, exploring CPU-memory stacking
Intel CEO Pat Gelsinger has indicated a potential return to the memory market, a sector the company previously exited. Gelsinger highlighted that memory is now a strategic asset ripe for innovation, suggesting possibili…
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New Wavelet Convolution Method Boosts Speed and Cuts Memory Use
Researchers have developed a new method to improve the efficiency of wavelet convolutions (WTConv), a technique used in neural networks for tasks like temperature measurements. The existing WTConv implementation is hind…
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SK Hynix eyes AI memory pivot, may sell China plant
SK Hynix is reportedly considering selling its chip packaging plant in Chongqing, China, as part of a strategic shift towards the more profitable artificial intelligence (AI) memory sector. Analysts suggest this move ai…
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TileRT AI boosts LLM decode interactivity on NVIDIA Blackwell GPUs
TileRT, a new technology from TileRT AI, promises to significantly boost decode interactivity for large language models on NVIDIA Blackwell GPUs. By statically compiling models into a persistent Engine Kernel, TileRT ai…
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Compute rental contracts need specific clauses for AI workloads
This article highlights three critical but often overlooked clauses in compute rental contracts for AI workloads: bandwidth, storage, and failure duration. It emphasizes that network bandwidth is crucial for large model…
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DRAM and HBM capacity for 2027 reportedly sold out, signaling price hikes
The entire supply of DRAM and High Bandwidth Memory for 2027 has reportedly been sold out, with no additional capacity planned. This shortage is expected to lead to further price increases for consumers in the near futu…
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Self-host AI agent backend on single Google Cloud TPU v5e chip
A technical guide details how to self-host a lightweight AI agent backend on a single Google Cloud TPU v5e chip. The setup utilizes the Gemma 4-E2B model with the vLLM inference engine, achieving a throughput of 1,496 o…
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AI demand tightens memory supply, AMD bets on specialized inference chips · 4 sources tracked
The burgeoning demand for AI, particularly for High Bandwidth Memory (HBM) and DRAM, is creating significant supply constraints across the semiconductor industry. This surge is prompting manufacturers to prioritize AI i…
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Alibaba launches Accio Work agentic platform for autonomous business operations
Alibaba Group has launched Accio Work, an agentic business platform designed for autonomous operations. This platform aims to streamline business processes through artificial intelligence. The announcement was made duri…
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AI models etched into silicon for faster inference, bypassing memory bottlenecks
A new trend is emerging where AI models are being etched directly into silicon, a process that permanently embeds model weights as physical transistors. This approach, exemplified by companies like Taalas and previously…
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AI demand sells out 2027 DRAM and HBM capacity, driving price hikes
Major memory manufacturers have reportedly sold out their DRAM and HBM capacity for 2027, largely due to demand from AI companies. This sell-out, combined with existing long-term purchasing agreements, is anticipated to…
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AI demand sends RAM prices back to 2007 levels, reversing decades of decline
A software performance expert and scientist, Daniel Lemire, has observed that the price of random-access memory (RAM) per gigabyte has returned to 2007 levels. This reversal of decades of falling prices is attributed to…
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SK Hynix invests $38B in new AI memory chip factories in South Korea
SK Hynix is investing $38.1 billion to construct two new memory chip facilities in South Korea. These factories, one in Yongin for HBM and DRAM and another in Cheongju for NAND flash, are intended to meet the surging de…
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Compressed Sensing Unsuitable for LLM Inference Storage Compression
Compressed sensing is not a suitable method for compressing KV cache data during LLM inference due to the data's lack of sparsity and the need for deterministic, lossless operations. Instead, practical improvements in i…
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KV Cache Prefetching Slashes LLM Inference Latency
A new prefetching strategy for KV Cache data has been developed, significantly reducing storage latency during large model inference. This method, tested on the Mingxin FX100 with a 480B model, improves inference throug…
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AI infrastructure evolves to integrate storage for LLM inference
The AI infrastructure landscape is shifting from solely focusing on GPU compute to a more integrated approach involving compute, networking, memory, and storage. This evolution is driven by the demands of large language…
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Apple's iPhone 18 Pro Launch Threatened by $1B DRAM Shortage
Apple is facing significant challenges in securing DRAM for its upcoming iPhone 18 Pro, with approximately $1 billion worth of processor wafers awaiting packaging. The global shortage of memory components, particularly …
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SK Hynix, SanDisk unveil High Bandwidth Flash for AI inference memory wall
SK Hynix and SanDisk have collaborated to develop High Bandwidth Flash (HBF), a new memory tier designed to address the memory wall challenges in AI inference. HBF places large-capacity NAND flash memory close to variou…
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3D AI Chips: Diverse Architectures, Unified Goal of Enhanced Performance
The AI chip market is experiencing a surge in interest for 3D stacking technologies, driven by the increasing demands of AI agents for greater memory capacity, bandwidth, and data efficiency. While companies are adoptin…
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Musk's wealth plummets, Changxin rejects Apple's price cuts, DeepSeek seeks 50B yuan · 1 source tracked
Elon Musk's personal wealth saw a significant drop of approximately 2.45 trillion yuan in July, equivalent to losing the fortunes of two Jensen Huangs. In the tech sector, Changxin отказался to meet Apple's lower DRAM p…