ฯ„TaosisTaoScale
NewsOfficialXSep 23, 2026, 16:25 UTC

๐Ÿ”ฅ GPUForge code update ๐Ÿ“ฆ Artifact integrity checks + resumable transfers ๐Ÿ–ฅ๏ธ Signed H100 capability reports ๐Ÿ” Scoped access hooks ๐Ÿงชโ€ฆ

About SN47 GPUForge

GPUForce@GPUForce

๐Ÿ”ฅ GPUForge code update ๐Ÿ“ฆ Artifact integrity checks + resumable transfers ๐Ÿ–ฅ๏ธ Signed H100 capability reports ๐Ÿ” Scoped access hooks ๐Ÿงช New failure-case tests Pre-production. GPU claims remain self-reported. t.co/x9Le7SYeQB $TAO #Bittensor #DeAI t.co/Ridxv5jem1

Open on X โ†—

SN47 GPUForge at a glance

SN47, GPUForge (ฮฑ token ืฆ), is one of the independent markets on the Bittensor network, each with its own ฮฑ token and its own price. Its ฮฑ currently trades at 0.001536 ฯ„ (โ‰ˆ $0.34), against 937.94 ฯ„ of pool liquidity. On-chain, the best-delegated validator on it yields about 1.21% APR (simple) and 1.22% APY (compounded), emissions add 0.000007 ฯ„ to the pool each block, epochs run every 360 blocks. It was registered at block #7,340,355.

Chart, holders, conviction and every figure โ†’

Taosis newsletters

Taosis News: the weekโ€™s articles from the subnet teams, the press and community newsletters, every Friday. Taosis Weekly: the weekโ€™s movers, best yields and chain events, with dollar values, every Monday. Past issues

Newsletters

Your address is used only to send the newsletters you tick, with your consent (double opt-in). Unsubscribe anytime ยท Privacy

More from SN47 GPUForge

OfficialX ยท @GPUForce ยท Sep 30, 2026
Subnet 47 is building verifiable GPU training on Bittensor.
OfficialX ยท @GPUForce ยท Sep 26, 2026
๐Ÿ”ฅ GPUForge: big code update
OfficialX ยท @GPUForce ยท Sep 22, 2026
๐Ÿ–ฅ๏ธ Your GPU says the training job is done. What makes that claim believable? Imagine sending a training job to a remote machine. It reports completion and impressive throughput. Did it use the correct data? Run the specified training code? Does the result belong to this
OfficialX ยท @GPUForce ยท Sep 21, 2026
โšก Introducing GPUForge- Subnet 47 A pre-alpha Bittensor subnet for verifiable GPU training. The idea is simple: Turn GPU capacity into AI training work that can be verified. ๐Ÿญ Publisher โ€” creates immutable workloads & signs manifests โšก Miners โ€” execute workloads on GPUs ๐Ÿ›ก๏ธ https://t.co/aHvEdpD4kF

Taosis indexes announcements, articles, posts and releases about Bittensor subnets from their own channels and keeps a record of each. The text above is the sourceโ€™s; the figures are read from the chain by Taosis.