Samsung Launches First HBM4E Memory Samples to Boost AI Computing
Samsung Electronics Begins Shipment of Industry-First HBM4E Samples
Image: Samsung Global Newsroom
Samsung Electronics has started shipping the first samples of its 12-layer HBM4E memory, enhancing its leadership in high-bandwidth memory technology. The new HBM4E offers improved speeds and capacities, addressing the demands of AI computing and hyperscale infrastructure.
- 01Samsung's HBM4E memory achieves stable speeds of 14 Gbps, scalable up to 16 Gbps, marking a 20% increase over HBM4.
- 02The new memory delivers bandwidth of up to 3.6 TB/s per stack, crucial for large language models and AI systems.
- 03HBM4E is offered in a 48 GB capacity, with plans for 32 GB and 64 GB configurations based on customer needs.
- 04Advanced low-power design technologies improve energy efficiency by 16% and thermal resistance by over 14% compared to the previous generation.
- 05Samsung aims to begin mass production of HBM4E aligned with customer schedules after initial sample shipments.
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Samsung Electronics has commenced the shipment of the industry's first 12-layer HBM4E memory samples, reinforcing its position in the high-bandwidth memory sector. Following the successful launch of HBM4 earlier this year, the HBM4E addresses the growing requirements for artificial intelligence (AI) computing and hyperscale infrastructure. The HBM4E offers stable speeds of 14 gigabits-per-second (Gbps), with potential scalability up to 16 Gbps, representing a 20% increase over its predecessor. It achieves a memory bandwidth of up to 3.6 terabytes-per-second (TB/s) per stack, significantly enhancing performance for large language models and next-generation AI applications. The memory is available in a 48-gigabyte (GB) configuration, with plans to expand to 32 GB and 64 GB versions. Samsung's advanced manufacturing capabilities and low-power design technologies have improved energy efficiency by 16% and thermal resistance by 14% compared to previous generations, ensuring reliability in data centers. Mass production of HBM4E will follow initial shipments, responding to positive feedback on HBM4's performance and efficiency.
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The introduction of HBM4E is expected to enhance the performance and energy efficiency of AI systems, impacting data centers globally.
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