Skip to content

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

Evaluations

Preview

Know a model is better before you ship it.

Score base models and fine-tunes on standard suites or your own tasks, and compare them in one matrix before you ship.

Pricing
Billed per GPU-hour
Layer
Training
Compare
Base models, Fine-tunes, Model checkpoints, Your datasets, Custom graders, Pipelines

Why Evaluations

Improvements are measured, not assumed.

Score base models and fine-tunes on standard reasoning, coding and tool-use suites, or on your own tasks with a dataset and a grader. Every run can be repeated, so a comparison still means something after the next fine-tune.

  • Standard suites

    Reasoning, coding and tool-use benchmarks.

  • Custom tasks

    Bring a dataset and a grader.

  • Comparison matrix

    Every model against every suite, side by side.

How it works

Benchmark suites and model comparisons you can rerun.

  1. Choose the models

    Pick the base models and fine-tunes you want to compare, side by side.

  2. Choose the suites

    Standard reasoning, coding and tool-use benchmarks, plus custom tasks built from a dataset and a grader.

  3. Run them

    Runs execute on GPUs like any other job, and rerun on the same inputs whenever a model changes.

  4. Compare and decide

    Read every model against every suite in one matrix, then ship the one that clears the bar.

In the console

Everything in one place.

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

  • Comparison matrix

    Every model against every suite, side by side.

    • Base models and fine-tunes in one view
    • Standard suites next to your own tasks
    • Rerun when a model changes
  • Custom tasks

    Measure what matters to your product, not only what a public benchmark measures.

    • Bring a dataset and a grader
    • Pin a dataset version so the task stays fixed
    • Keep evaluation data held out from training
  • In a pipeline

    Make evaluation the gate between training and deployment.

    • An evaluate step in the pipeline step library
    • Condition gates over its results
    • Promote only when the result clears the bar

Pricing

Billed per GPU-hour

Evaluation runs are billed per GPU-hour, at compute rates, for the GPUs they use.

  • Metered the same way as fine-tuning.
  • A pipeline run records what each of its steps cost.
Full pricing

GPU rates

GPU rates in USD per GPU-hour, on demand and by reservation term
GPUMemoryOn demand1-month6-month12-month
AMD Instinct MI325X256 GB HBM3E$4.79$4.31$3.83$3.35
NVIDIA H200141 GB HBM3e$4.79On request

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

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