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SK HynixIn development

SK hynix Unveils Processing-In-Memory (PIM) for AI Bottlenecks

What happened

SK hynix is developing Processing-In-Memory (PIM) technology, which allows memory semiconductors to perform simple calculations, to address AI data bottlenecks.

Source

Article excerpt

Highlighted: the sentence this signal was extracted from

SK hynix has presented a vision to solve the artificial intelligence (AI) data bottleneck by fronting processing-in-memory (PIM) technology, which allows memory semiconductors to perform a certain level of simple calculations. Im Eui-chul, vice president in charge of Solution AT at SK hynix, took the stage as a speaker at the AI Infra Summit held at the Santa Clara Convention Center in California, the United States, on Sept. 16 (local time), stating that the company will overcome the limitations of AI infrastructure centered on graphics processing units (GPUs) and high bandwidth memory (HBM) with PIM. Unlike the existing structure where data is moved from memory to AI accelerators such as graphics processing units (GPUs) for calculation and then transmitted back to memory, PIM is a method in which simple calculations are directly processed by a processing unit inside the memory. By reducing data movement between the memory and the processor, it can increase AI processing speed and power efficiency. Samsung Electronics also announced PIM targeting on-device AI at the semiconductor academic conference Hot Chips held last month. Vice President Im mentioned that the AI industry currently mainly uses SRAM when ultra-high-speed inference is required, pointing out, "SRAM-based systems provide high bandwidth, but there are clear limitations in terms of capacity and cost." He further...

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Event
In development

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Product
Processing-In-Memory (PIM) technology

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Topics and mentions

Product tags

  • general technology
  • future tech
  • data

Extraction

Confidence
90%
Detected
Sep 17, 2026
signal_type
news
signal_subtype
is_developing

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This page shows a preview. The full news record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

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  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

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{
  "signal_id": "ac66f101-c732-47f2-e392-24eb26e5dc65",
  "signal_type": "news",
  "signal_subtype": "is_developing",
  "detected_at": "2026-09-17T10:20:45+00:00",
  "company": {
    "name": "SK Hynix",
    "domain": "skhynix.com"
  },
  "data": {
    "url": "https://www.businesskorea.co.kr/news/articleView.html?idxno=277234",
    "title": "SK hynix Unveils Processing-In-Memory (PIM) for AI Bottlenecks - Businesskorea",
    "excerpt": "SK hynix has presented a vision to solve the artificial intelligence (AI) data bottleneck by fronting processing-in-memory (PIM) technology, which allows memory semiconductors to perform a certain level of simple calculations. Im Eui-chul, vice president in charge of Solution AT at SK hynix, took the stage as a speaker at the AI Infra Summit held at the Santa Clara Convention Center in California, the United States, on Sept. 16 (local time), stating that the company will overcome the limitations of AI infrastructure centered on graphics processing units (GPUs) and high bandwidth memory (HBM) with PIM. Unlike the existing structure where data is moved from memory to AI accelerators such as graphics processing units (GPUs) for calculation and then transmitted back to memory, PIM is a method in which simple calculations are directly processed by a processing unit inside the memory. By reducing data movement between the memory and the processor, it can increase AI processing speed and power efficiency. Samsung Electronics also announced PIM targeting on-device AI at the semiconductor academic conference Hot Chips held last month. Vice President Im mentioned that the AI industry currently mainly uses SRAM when ultra-high-speed inference is required, pointing out, “SRAM-based systems provide high bandwidth, but there are clear limitations in terms of capacity and cost.” He further...",
    "product": "Processing-In-Memory (PIM) technology",
    "summary": "SK hynix is developing Processing-In-Memory (PIM) technology, which allows memory semiconductors to perform simple calculations, to address AI data bottlenecks.",
    "planning": true,
    "image_url": "https://www.businesskorea.co.kr/news/thumbnail/202609/277234_284782_2036_v150.jpg",
    "confidence": 0.9,
    "product_data": {
      "name": "Processing-In-Memory (PIM) technology",
      "full_text": "processing-in-memory (PIM) technology, which allows memory semiconductors to perform a certain level of simple calculations",
      "fuzzy_match": false
    },
    "product_tags": [
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    "published_at": "2026-09-17T10:20:45Z",
    "article_sentence": "SK hynix has presented a vision to solve the artificial intelligence (AI) data bottleneck by fronting processing-in-memory (PIM) technology, which allows memory semiconductors to perform a certain level of simple calculations."
  }
}

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