merv
SELF-IMPROVING RESEARCH

Research,
in motion.

01

Ideas, combined.

RESEARCHNEW IDEASPRIOR LOOPYOUR GOALreplayLoRAroutingdistillationReplay × LoRASparse routingDistillationRESEARCHNEW IDEASPRIOR LOOPYOUR GOALReplay × LoRARoutingDistillation
02

Experiments, parallel.

03

Compute, on demand.

24 workersTraining
DataCheckpointsEvidence

20 clouds. One system.

Lambda
AWS
Google Cloud
Azure
RunPod
Modal
Crusoe
Cloudflare
DigitalOcean
Vast.ai
Fluidstack
Hyperstack
Paperspace
Vultr
Verda
TensorDock
Thunder Compute
Voltage Park
Akamai / Linode
GiveMeANode
tinkerTraining API Planned
Integration coverage

Provider adapters are implemented. Live research workflows have been validated on Lambda A10 and Cloudflare CPU; DigitalOcean and GiveMeANode have CPU transfer validation. Other providers and hardware configurations require live validation. The fleet above illustrates possible workloads, not a running deployment or a performance claim.

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