POWER IS THE LIMIT.
FLEXIBILITY IS THE UNLOCK.
No real approach to be flexible and stay SLA compliant
Interconnection Is the Bottleneck
MW you can't energize is revenue you can't earn. Slow interconnection and scarce grid capacity cap growth long before compute demand does.
Underused Power Is Burned Margin
Asset-light compute economics mean every idle megawatt eats into the bottom line, while competitors race for the same power.
Not All Workloads Behave the Same
Training and inference have very different constraints, and treating them the same way leaves flexibility — and revenue — on the table.
Training and inference move differently, so LōD handles them differently.
Throttle & Curtail Freely
No SLA to protect, so training can flex against grid conditions in real time. LōD interconnects directly with NVIDIA DSX to manage this at the GPU level.
Distribute, Don't Disrupt
Response-time sensitive, so instead of curtailing, LōD's CEDN routes inference across data centers in real time with zero impact on response time.
Batteries & Generators Add Flexibility Too
LōD IoT can automate on-site assets like batteries and generators, adding another layer of flexibility beyond the workload itself.
Built to Move Compute
Not Just Data
Speed to Power
Connect faster by becoming flexible: energize more compute per site without waiting on new substation capacity.
NVIDIA DSX Interconnection
Direct interconnection with NVIDIA DSX to throttle or curtail training workloads at the GPU level with zero SLA impact.
CEDN Distribution Engine
The Compute Energy Distribution Network routes SLA-sensitive inference across data centers in real time based on grid conditions.
Live Grid-Aware Routing
Every routing decision reacts to real-time grid conditions and energy cost, not a static schedule.
Compute Efficiency
Smarter cache management and workload placement squeeze more useful compute out of every energized megawatt.
Energy Cost Smart Routing
Workloads shift automatically to wherever energy is cheaper, cutting cost instead of running static.
