SK hynix ships samples of its HBM4E memory: 16Gbps per pin, 48GB capacity per 12-layer stack

SK hynix Unleashes Next-Gen HBM4E Memory: Powering the Future of AI Acceleration

The insatiable demands of artificial intelligence (AI) and high-performance computing (HPC) necessitate memory solutions that transcend conventional limitations. Traditional DDR memory simply cannot keep pace with the massive data throughput required by modern AI accelerators. This critical need is met by High Bandwidth Memory (HBM), and global memory powerhouse SK hynix is leading the charge with a significant leap forward, having just announced the commencement of sample shipments for its groundbreaking HBM4E memory. This new HBM4E standard from SK hynix sets a remarkable benchmark for performance in the industry. Each pin delivers an astounding **16 gigabits per second (Gbps)** of bandwidth. To put this into perspective, the previous generation HBM4 offered 10 Gbps per pin, showcasing a substantial performance uplift. This places SK hynix at the forefront of HBM technology, notably surpassing competitor designs, with Samsung's recently sampled HBM4E claiming 14 Gbps per pin.

Beyond raw speed, the physical architecture of HBM4E is crucial for real-world AI applications. SK hynix's current sample design features an impressive **12-layer stack**, meticulously engineered to maximize data density. This innovative stacking technology results in a formidable **48 Gigabytes (GB) of capacity per stack**. Considering that advanced AI accelerator systems typically integrate multiple HBM stacks, this high capacity per unit is vital for handling increasingly complex AI models and large datasets. SK hynix's HBM4E isn't just about raw speed and capacity; it's also designed for efficiency and durability, addressing critical concerns for large-scale deployments.

• Enhanced Power Efficiency: The new HBM4E memory boasts a significant **20% improvement in power efficiency** compared to its HBM4 predecessor. This translates directly to cooler operation and reduced energy consumption, critical factors for power-hungry AI data centers.
• Advanced Thermal Management with MR-MUF: To ensure long-term reliability and optimal performance, SK hynix utilizes its proprietary **Mass Reflow Molded Underfill (MR-MUF)** technology. This innovative process involves applying a protective liquid between the silicon dies during the stacking process, safeguarding delicate circuits from potential damage.
• Superior Cooling Performance: The MR-MUF application also contributes to a remarkable **17% lower heat resistance** compared to older designs. This improved thermal characteristic is essential for efficient heat dissipation, enabling higher clock speeds and sustained performance in demanding environments without throttling.

SK hynix proudly underscores its strong position and expertise in advanced memory development. The company stated its commitment to working closely with partners, ensuring a smooth transition from these initial sample shipments to future mass production. This timely delivery of 12-stack HBM4E samples highlights SK hynix's leadership in pushing the boundaries of High Bandwidth Memory technology, promising a robust future for high-performance AI hardware. With its industry-leading bandwidth, impressive capacity, and significant advancements in power efficiency and thermal management, SK hynix's HBM4E is poised to become a cornerstone of next-generation AI and high-performance computing infrastructure. This latest innovation reaffirms SK hynix's role as a key enabler for the most demanding technological applications across the globe. Source