
Appreciate @_LatitudeMedia for covering the launch of CLōD 🙌
AI inference is becoming one of the largest consumers of electricity — but compute is still static, blind to real-time energy.
That mismatch is a scaling bottleneck.
We’re changing that by routing workloads to where energy is cheapest + most available ⚡
→ Lower inference costs
→ Better utilization of compute
Excited to continue this convo at #TransitionAI in SF 🇺🇸
🗓 April 14, 3:30PM
🎤 @Medi_Naseri
“The control layer: Leveraging flexibility to unlock capacity and utilization”
“The AI-energy nexus conversation is critical right now…”
Next decade of AI won’t just be better models. It’ll be better coordination between compute + energy.
Read more: buff.ly/0KNJLTS
English











