SK hynix HBM4 enters mass production with 10+ Gbps speeds and major efficiency gains
SK hynix has completed development of its next-generation HBM4 and put it into full production, marking a significant leap for memory used in high-performance AI systems and data centers. With demand for AI accelerating and data volumes exploding, the company is positioning HBM4 as the go-to solution to break bandwidth bottlenecks while cutting power costs.
According to SK hynix, HBM4 doubles the bandwidth over the previous generation by moving to 2,048 I/O terminals and surpasses the JEDEC 8 Gbps standard with an operating speed above 10 Gbps per pin. Power efficiency improves by more than 40%, which the company says can lift AI service performance by up to 69% while reducing data center energy consumption.
Key highlights
– Full-scale HBM4 production launched following completion of development
– Over 10 Gbps per-pin operating speed, exceeding industry standards
– 2,048 I/O terminals, doubling bandwidth versus the prior generation
– More than 40% improvement in power efficiency
– Up to 69% boost in AI service performance when deployed in target systems
– Advanced MR-MUF packaging for proven reliability
– Built on the 1bnm process, the fifth generation of 10 nm-class technology, to reduce mass-production risk
Company leaders describe HBM4 as a new milestone for the industry and a pivotal product for overcoming AI infrastructure limitations. By delivering higher throughput and better energy efficiency, SK hynix aims to help customers scale AI workloads faster, lower total cost of ownership, and relieve the data bottlenecks that limit today’s accelerators.
HBM4’s advanced packaging and mature 10 nm-class manufacturing process further support reliable, large-scale deployment. With its mass production system established, SK hynix plans to rapidly supply a full range of AI memory options to meet diverse performance and efficiency requirements.
Why it matters
– AI training and inference are increasingly constrained by memory bandwidth, not just compute. HBM4’s higher throughput directly accelerates end-to-end AI pipelines.
– Power is a top data center expense. Improving memory efficiency by 40% can translate to meaningful savings and higher sustainability.
– Faster, more efficient memory can improve utilization of GPUs and AI accelerators, enabling better performance per watt and per dollar.
Bottom line: By bringing HBM4 to mass production with industry-leading speed and efficiency, SK hynix is doubling down on AI memory leadership and delivering the bandwidth and power gains modern AI infrastructure needs.
