More compute per watt
on your GPUs
We find and lock the best operating point your stack can't hold
Runs alongside vLLM, SGLang and TensorRT. Under your power envelope, with no rewrite of your stack.
Demo
Inference is where AI
hits its cost ceiling
Solutions
How the CarbonForge loop works
1 · Measure
Power Telemetry
Sub-millisecond power and latency, with kernel-level attribution.
2 · Optimize
Optimization Engine
Searches the operating point that captures what your monitoring misses.
3 · Re-lock
Runtime Controller
Re-locks the operating point when models, traffic, or hardware change.
Re-locks continuously as models, traffic, and hardware change
Run the complete Loop on your fleet. More tokens per GPU under the same power envelope.
Team
Built at Mila
Leadership
Advisors
Christophe Dubach
Christophe Dubach
Scientific Advisor
Compilers and GPU codegen
McGill, CIFAR AI Chair
Compilers and GPU codegen
McGill, CIFAR AI Chair
Richard Reiner
Richard Reiner
Strategic Advisor
Enterprise and infrastructure
Former Data Center CTO, Intel
Enterprise and infrastructure
Former Data Center CTO, Intel
Become an early adopter partner
A limited number of slots in 2026 for teams serving, operating, or running inference at scale.