Skip to content

Products

GPU CloudNVIDIA H200 by the hour.
Dedicated ClustersPreviewPrivate, interconnected GPU clusters for sustained workloads.
SandboxesPreviewIsolated, short-lived environments for developers and AI agents.
Serverless GPUPreviewGPU containers that scale with requests, down to zero.
Serverless InferenceOpen models behind one OpenAI-compatible endpoint.
Dedicated EndpointsReserved serving capacity for one model, billed per GPU-hour.
PlaygroundSend a prompt to any model your workspace can reach.
Model DeploymentsPreviewImmutable deployments with instant promote and rollback.
Fine-tuningLoRA fine-tunes on the open models in our catalog.
Model TrainingPreviewFoundation-model training runs, managed end to end.
EvaluationsPreviewBenchmark suites and model comparisons you can rerun.
DatasetsManaged and synthetic training data, versioned and ready to use.
Data ManagementPreviewDatasets, connections and storage, with lineage across the platform.
PipelinesPreviewVersioned DAGs that automate data, training and deployment.
Data RoomsPreviewSecure document sharing with guests, NDAs and an audit trail.
NokuvaPreviewThe AI-native design editor.
TavocPreviewA Rust-native code platform: IDE and desktop apps.
FoltracComing soonMulti-cloud deployment with autonomous operations.
W0rkTreeComing soonVersion control for agent fleets.
Identity & AccessMembers, roles, policies, SSO and audit for every workspace.
Billing & CostUsage, invoices, credits and budgets in one place.
Logs & MonitoringRequest logs, latency and error rates across services.
Project CanvasPreviewSee and change a project's resources on one live canvas.

Pages

Home/
Platform/platform
All products/products
Pricing/pricing
GPU pricing/pricing#compute
Inference services/services/inference
Model training services/services/model-training
Protocol design/services/protocol-design
Research partnerships/services/research-partnerships
Protocols/protocols
Datasets/datasets
Documentationdocs.legionedge.ai
Changelog/changelog
News/news
Research/research
Blog/blog
Articles/articles
Events/events
Startup Program/programs/startup
Ambassador Program/programs/ambassador
Partner Program/programs/partner
Event Program/programs/events
Company/company
Careers/careers
Partners/partners
Contact/contact
Statusstatus.legionedge.ai
Terms of Service/legal/terms
Privacy Policy/legal/privacy

All blog posts

What open by default means in practice

Publishing openly is a workflow, not a press release. Here's how research leaves the building.

Category
Company
Published
Reading time
1 min
Source
Engineering blog

“Most of our research is published openly” is easy to say and easy to fake. So here’s the actual mechanism, because open by default only works if it’s the path of least resistance internally.

Every project at LegionEdge starts with a publication decision, not a publication review. The default is open: specs, datasets, weights, and write-ups ship to the public registry unless there’s a specific, documented reason not to. Flipping the default changes behavior more than any policy memo — nobody has to champion openness case by case.

The registry is the enforcement layer. Internal tooling reads from the same registry entries the public sees, so keeping something private means maintaining a private fork of your own infrastructure. Friction points the right way.

What stays closed? Customer data, always. Unreleased product work, until it ships. And safety-relevant capabilities research where publication would do more harm than good — we document the reasoning in the registry entry even when the artifact itself is withheld.

The result is that openness isn’t a launch event here. Protocol specs, the W0rkTree core, our datasets, and our benchmark suites are public because that’s where our own tools look for them. The future of AI should be built together, and this is the plumbing that makes the slogan true.

Share

Want the build notes as they happen?

The blog is written by the engineers shipping Nokuva, Tavoc, and Foltrac — deep dives land here as the work does, and the authors answer questions.