Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

Samsung Develops Industry’s First High Bandwidth Memory with AI Processing Power

The new ‘HBM-PIM’ will deliver over twice the system performance and reduce energy consumption by more than 70%

Samsung Electronics Co., Ltd., the world leader in advanced memory technology, announced that it has developed the industry’s first High Bandwidth Memory (HBM) integrated with artificial intelligence (AI) processing power — the HBM-PIM. The new processing-in-memory (PIM) architecture brings powerful AI computing capabilities inside high-performance memory, to accelerate large-scale processing in data centers, high performance computing (HPC) systems and AI-enabled mobile applications.

Kwangil Park, senior vice president of Memory Product Planning at Samsung Electronics stated, “Our groundbreaking HBM-PIM is the industry’s first programmable PIM solution tailored for diverse AI-driven workloads such as HPC, training and inference. We plan to build upon this breakthrough by further collaborating with AI solution providers for even more advanced PIM-powered applications.”

Recommended AI News: G2 recognizes RFP360 as Best Software for 2021

Rick Stevens, Argonne’s Associate Laboratory Director for Computing, Environment and Life Sciences commented, “I’m delighted to see that Samsung is addressing the memory bandwidth/power challenges for HPC and AI computing. HBM-PIM design has demonstrated impressive performance and power gains on important classes of AI applications, so we look forward to working together to evaluate its performance on additional problems of interest to Argonne National Laboratory.”

Related Posts
1 of 40,653

Most of today’s computing systems are based on the von Neumann architecture, which uses separate processor and memory units to carry out millions of intricate data processing tasks. This sequential processing approach requires data to constantly move back and forth, resulting in a system-slowing bottleneck especially when handling ever-increasing volumes of data.

Recommended AI News: Quantiphi Named as an IDC Innovator in Artificial Intelligence Services

Instead, the HBM-PIM brings processing power directly to where the data is stored by placing a DRAM-optimized AI engine inside each memory bank — a storage sub-unit — enabling parallel processing and minimizing data movement. When applied to Samsung’s existing HBM2 Aquabolt solution, the new architecture is able to deliver over twice the system performance while reducing energy consumption by more than 70%. The HBM-PIM also does not require any hardware or software changes, allowing faster integration into existing systems.

Samsung’s paper on the HBM-PIM has been selected for presentation at the renowned International Solid-State Circuits Virtual Conference (ISSCC) held through Feb. 22. Samsung’s HBM-PIM is now being tested inside AI accelerators by leading AI solution partners, with all validations expected to be completed within the first half of this year.

Recommended AI News: IP Infusion Selected by EvoNet as Key Partner for Future Network Expansion

3 Comments
  1. Iron recovery yard services says

    Scrap metal refining Ferrous material collection services Iron scrap residue

    Ferrous material inventory, Iron reprocessing, Scrap metal reclamation and utilization center

  2. Copper scrap storage says

    Copper flat wire recycling Copper scrap recycling regulations Metal scrap weighing
    Eco-friendly recycling of Copper cable, Metal buyback program, Copper scrap financial management

  3. Iron reprocessing depot says

    Scrap metal classification Ferrous material sorting Iron scrap recovery solutions

    Ferrous material price trends, Iron scrap refurbishment, Metal scrap bundling

Leave A Reply

Your email address will not be published.