Skip to content
Sign inRequest access

Products

GPU CloudAMD MI325X and NVIDIA H200 by the hour or on reservation.
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

Data Management

Preview

Know where every dataset came from, and where it went.

One place for every piece of data the platform touches: versioned datasets for training and evaluation, connections to external sources, buckets and volumes, and lineage from ingestion through training to deployment.

Request accessView pricing
Pricing
Metered by storage and egress
Layer
Data
Connects to
Amazon S3, Google Cloud Storage, Postgres, Snowflake, BigQuery, Hugging Face

Why Data Management

One home for the data your models depend on.

Datasets, connections, buckets and volumes live in one place, and every version records what produced it and what used it, from ingestion through training to deployment.

  • Versioned datasets

    Immutable versions with schema and row diffs.

  • Connections

    S3, GCS, Postgres, Snowflake, BigQuery and Hugging Face.

  • Lineage

    Which pipelines, training runs and deployments use it.

How it works

Datasets, connections and storage, with lineage across the platform.

  1. Bring data in

    Upload with resumable multipart uploads, import from a connection, pull a Hugging Face repo, or write a pipeline’s output.

  2. Version it

    Each import is an immutable version with its schema, stats and checksum. Compare versions to see rows added or removed and schema changes.

  3. Check it

    Preview rows or images in the browser and run validation suites against each version before anything trains on it.

  4. Follow it

    Lineage links each version to the pipeline runs, checkpoints and deployments built from it.

In the console

Everything in one place.

Data Management lives in the LegionEdge cloud console, next to every other service in the workspace, under one account and one identity.

  • Catalog

    Every dataset in the organization, with its format, latest version, owner, tags and what uses it.

    • Parquet, JSONL, CSV, images, audio and Hugging Face
    • Search across names, descriptions and column names
    • Filter by format, tag, owner and project

  • Dataset pages

    A README, the schema and stats, then tabs for versions, preview, quality, lineage and access.

    • Server-side previews over the object store
    • Validation results per version
    • Access managed in IAM, linked from the page

  • Connections

    External sources with their credentials kept as secrets, a browse tree and scheduled syncs.

    • Test a connection before you use it
    • Browse buckets and prefixes, or schemas and tables
    • Scheduled imports into datasets, as snapshots or appends

  • Storage and lineage

    Buckets and volumes with lifecycle rules, and an organization-wide lineage graph.

    • Object storage with region residency
    • Short-lived signed links for downloads
    • Connection to dataset to run to checkpoint to deployment

Pricing

Metered by storage and egress

Data Management is metered on the storage your datasets, buckets and volumes use and on the data that leaves the platform.

Full pricing
  • Storage used against your plan’s quota is shown on the data overview.
  • Hosting your own data as versioned datasets is on the dataset rate card.

Related products

Pairs well with Data Management

Get started

Start with a workload.

Connect to the platform directly, or work with our team on a specific technical challenge.

Self-service

LegionEdge Cloud

Create a workspace, explore the available models, and connect your application. The documentation takes you through your first request.

  • Turn on only the services you need
  • Pay per token or per GPU-hour
  • One account, one bill
Create a workspaceRead the docs

Custom engagements

Work with our team

Bring your data requirements, model goals, or infrastructure constraints. We'll define the scope, deliverables, and next steps together.

  • Scoped with an evaluation baseline
  • Dedicated clusters and reserved GPUs
  • A named engineer from day one
Discuss your projectsales@legionedge.ai