# Hot Chips 2026: Applying High Bandwidth Flash (HBF)

DevFeed: [Hot Chips 2026: Applying High Bandwidth Flash (HBF)](<https://devfeed.tech/articles/hot-chips-2026-applying-high-bandwidth-flash-hbf-13990.md>)

Original publisher: [Read original article](<https://chipsandcheese.com/p/hot-chips-2026-applying-high-bandwidth>)

Author: Chester Lam

Published: 2026-08-23T22:51:05Z

Content type: article

Language: en

Sources: [Chips and Cheese](<https://devfeed.tech/sources/chips-and-cheese.md>)

Topics: [Machine Learning & Artificial Intelligence](<https://devfeed.tech/topics/machine-learning-artificial-intelligence.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [vllm](<https://devfeed.tech/topics/vllm.md>), [moe](<https://devfeed.tech/topics/moe.md>), [Cache](<https://devfeed.tech/topics/cache.md>)

Tags: [2026](<https://devfeed.tech/tags/2026.md>), [dram](<https://devfeed.tech/tags/dram.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [memory](<https://devfeed.tech/tags/memory.md>), [moe](<https://devfeed.tech/tags/moe.md>), [ssd](<https://devfeed.tech/tags/ssd.md>), [vllm](<https://devfeed.tech/tags/vllm.md>)

## AI overview

This article examines how High Bandwidth Flash (HBF) could support machine learning workloads. HBF does not yet have products; the discussion uses simulations and projections to explore software strategies, including moving Mixture-of-Experts components or KV cache data between HBF and faster memory, with vLLM as an example.

## Source excerpt

Machine learning workloads have an insatiable appetite for DRAM capacity. Flash memory is cheaper per gigabyte of capacity than DRAM. Could it offer a way out?