Open Source

SK hynix and SanDisk's HBF hits 3TB/s to fix AI inference bottleneck

New HBF standard targets 3TB/s bandwidth, but local AI users may see high prices...

Deep Dive

Key Points
  • HBF targets 3TB/s bandwidth, compared to ~1TB/s for HBM3E and far less for SSDs
  • Jointly developed by SK hynix and SanDisk to address AI inference memory bottlenecks
  • Enables larger AI models on local hardware by using flash instead of expensive DRAM/HBM

Why It Matters

HBF could slash AI inference costs and boost on-device performance, but pricing may restrict mainstream local AI use.

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