Leading  AI  robotics  Image  Tools 

home page / AI NEWS / text

NVIDIA and JEDEC Unveil HBM4 Standard: Redefining AI and High-Performance Computing?

time:2025-04-23 11:17:06 browse:176

NVIDIA and JEDEC have officially launched the HBM4 memory standard, a groundbreaking advancement designed to address the escalating demands of generative AI, high-performance computing (HPC), and next-gen data centers. With 2TB/s bandwidth, 64GB capacity per stack, and unprecedented energy efficiency, HBM4 sets a new benchmark for memory technology. Here's what you need to know.

NVIDIA and JEDEC Unveil HBM4 Standard

1. HBM4: Technical Innovations and Key Specifications

Announced on April 16, 2025, the JESD270-4 HBM4 standard doubles the bandwidth of its predecessor, HBM3, through a 2048-bit interface and 8Gb/s data rate. This leap is critical for applications like training trillion-parameter AI models and real-time autonomous vehicle systems, where data throughput is a bottleneck.

Core Upgrades

  • Bandwidth: 2TB/s (vs. HBM3's 1TB/s)

  • Channels: 32 independent channels per stack (double HBM3's 16)

  • Capacity: Up to 64GB per stack via 16-layer DRAM and 32Gb chip density

  • Power Efficiency: Dynamic voltage scaling (0.7V–0.9V for VDDQ, 1.0V–1.05V for VDDC) cuts energy use by 15–30%.

2. Industry Adoption and Real-World Impact

NVIDIA's Rubin GPU architecture, slated for late 2026, will be the first to fully integrate HBM4. Early specs suggest Rubin will feature 1024GB memory configurations (16 HBM4 stacks) and deliver 100 petaFLOPS of FP4 compute power—ideal for tasks like generative video synthesis and quantum simulations.

Strategic Partnerships

  • SK Hynix: Already prototyping HBM4 using 3nm base dies, boosting performance by 20–30% over 5nm designs.

  • Samsung: Plans to embed HBM4 in smartphone AI processors for 8K video upscaling and on-device LLMs.

3. Reliability and Future Roadmap

HBM4 introduces Directed Refresh Management (DRFM), a security feature that mitigates row-hammer attacks by preemptively refreshing vulnerable memory rows. This reduces error rates by 40% and ensures 99.999% uptime for mission-critical systems like financial fraud detection.

JEDEC has already begun drafting HBM5 specifications, targeting 4TB/s bandwidth and 128GB stacks by 2028. Innovations like 3D hybrid bonding and optical interconnects are expected to drive further breakthroughs.


See More Content about AI NEWS

comment:

Welcome to comment or express your views

主站蜘蛛池模板: 久久精品国内一区二区三区| 无码精品日韩中文字幕| 在线播放第一页| 国产成a人亚洲精v品无码性色| 亚洲国产婷婷综合在线精品| 两性色午夜视频免费播放| 中文字幕你懂的| 波多野结衣伦理片在线观看| 日本最新免费二区三区| 国产精品多p对白交换绿帽| 啦啦啦手机完整免费高清观看| 乱人伦人妻精品一区二区| 97久人人做人人妻人人玩精品| 精品国产一区二区三区久久影院| 成人免费视频试看120秒| 国产免费内射又粗又爽密桃视频| 久久国产精品2020免费m3u8| 亚洲欧美日韩国产vr在线观| 校草让我脱了内裤给全班看| 国产视频你懂得| 伊人婷婷综合缴情亚洲五月| 中国内地毛片免费高清| 精品一区二区久久| 处女的第一次电影| 免费又黄又爽又猛的毛片| 中文字幕不卡在线播放| 被夫上司持续侵犯7天| 日韩在线观看免费| 国产激情久久久久影院小草| 亚洲成A人片在线观看无码| awazliksikix小吃大全图片| 精品丝袜国产自在线拍亚洲| 天天碰免费视频| 免费黄色网址在线观看| 中国老熟妇xxxxx| 美女网站一区二区三区| 无码人妻一区二区三区免费看 | 欧美一级视频在线观看| 国产精品无码2021在线观看| 亚洲欧美成人网| 717午夜伦伦电影理论片|