Kaan Farahani retweeted
Today we announce a $16M strategic round led by @CMT_Digital, with participation from Canaan, MicroBT, Halo, Steelhead and additional angel investors.
Each investor is an operating partner in the compute supply chain Luxor serves: hardware, capital, and power.
Read the full release: luxor.tech/news/corporate-ne…
Kaan Farahani retweeted
We're heading to Yotta 2026 in Las Vegas, September 28-30.
@hash_bender and @ethan_vera will be on the ground.
Let's connect!
Kaan Farahani retweeted
Hiring the first sales person at @tenki.
We run our own bare-metal cloud. No hyperscaler underneath. Now we need someone to sell it.
Uncapped commission. Direct line to product, eng and marketing.
DMs are open. Appreciate any recommendations.
Compute is the commodity ⚡️
Today we launch Luxor AI.
Energy, hardware, compute trading, derivatives, agentic cloud, and compute commodities data. The full stack for AI data centers.
Powering the world’s compute. Bitcoin mining was first. AI is next.
luxor.tech/news/corporate-ne…
Kaan Farahani retweeted
idk why it made @guzmanpintos taller than me. i ran out of credits to fix
LuxOS on Z15 Pro is ready - we've been cooking
DM me if you want to install
S̶o̶o̶n̶™ -> Now™
Kaan Farahani retweeted
Roughly 3.5% drop in hashprice WoW. See how it affects the forward curve in this week's hashrate weather report.
Kaan Farahani retweeted
The AI Hardware Price Index is live on @hashrateindex
It tracks the daily median asking price of air-cooled 8-GPU NVIDIA HGX nodes across three series: B300 new, H100 new, and H100 refurbished. Per node and per GPU, in USD or BTC.
Latest prints: B300 at $544K per node. H100 new at $324K. H100 refurbished at $246K.
Kaan Farahani retweeted
talked infra with @aditya_advani from @MoltPodDotCom
clip about where the sandboxes actually run
Kaan Farahani retweeted
Replying to @benswerd
I see it being an almost identical graph to Bitcoin hashprice:
cc @hashrateindex
Kaan Farahani retweeted
How do you get a GPU running AI inference to respond to the grid?
One integrated loop: ERCOT conditions → Luxor's QSE signal → @ZianiSystems orchestration → GPU curtails to ~25%. Under half a second, no lost work.
The full picture 👇
Kaan Farahani retweeted
We just ran the first response of a GPU doing AI inference to a live ERCOT 4CP signal. Under half a second, closed loop, power to ~25%, workloads intact. Built with @Bentaus, dispatched through our QSE.
luxor.tech/news/corporate-ne…
Kaan Farahani retweeted
First time a GPU running AI inference responded to a live ERCOT 4CP signal.
Signal to verified curtailment: under half a second. Power draw down to ~25%. Inference workloads unaffected.
Built with @Bentaus_, powered by Luxor Energy.
luxor.tech/news/corporate-ne…
I thought the next halving was due for 2028… Tenki moves different 👀
The last few days we've been grinding to halve our ai code reviewer time to completion.
- P95: 15m -> 7m
- P50: 10m -> 4:30m
We did so w/o sacrificing intelligence or accuracy.
The speed gains come from working with our inference partners to dial in tokens per second throughput, optimize cache hits in the harness and heavily optimizing the workflow.













