The external enclosure pairs a user-supplied NVMe SSD with an 8TB or 20TB hard drive and moves hot files automatically.
Seagate released the FireCuda Forge, an external drive that pairs a hard disk with an NVMe slot and shifts data between the two. The enclosure ships with an 8TB drive for $699 or a 20TB drive for $899, and both hard drives are user-replaceable. Seagate does not include the SSD, which adds significantly to the total price during a memory shortage.
Hybrid drives with built-in flash have been part of Seagate’s lineup for years, and network attached storage systems have long used SSDs as read caches. Seagate says the Forge differs because its Alkemi platform applies machine learning to decide which files move and when, based on the current workload rather than a fixed cache rule.
Operators see a single volume on Windows 11 or macOS 26 while the Forge relocates hot data automatically, which suits workloads that read a working set far more often than they write. Peak throughput reaches 2,500MB/s for reads and 2,000MB/s for writes, and that ceiling depends on the SSD the buyer installs.
Buyers must budget for the NVMe drive on top of the enclosure, and flash pricing will shape whether the Forge beats a pure SSD setup. Watch for independent tests of how quickly Alkemi adapts when a workload changes, and for guidance from Seagate on which SSDs it validates.
What matters
- Seagate sells the FireCuda Forge for $699 with 8TB or $899 with 20TB, and buyers must supply their own SSD.
- Alkemi uses machine learning to move active files to flash, cutting latency without all-flash capacity.
- Watch for SSD compatibility lists and real-world tiering behavior on mixed workloads.
Why it matters
Watch for SSD compatibility lists and real-world tiering behavior on mixed workloads.
This GenAI News article was prepared in original wording using reporting and materials published by The Verge. Source reference: https://www.theverge.com/tech/1029665/seagate-firecuda-forge-hybrid-ssd-hard-drive-storage-alkemi-technology.
Drafted by the GenAI News review pipeline.