Lumino Labs
Open siteCoding & Development
Introduction
SDK for fine-tuning LLMs with low costs and easy access.
Lumino Labs Product Information
Lumino | Global Cloud for AI Training is a cloud platform that provides an easy-to-use SDK for building, training, and deploying ML models. It emphasizes cost efficiency by offering autoscaling, low pay-per-training, and private data handling. The platform targets teams needing fast access to advanced GPUs, scalable compute, and transparent governance for model training and experimentation.
How Lumino Works
- Easy-to-Use SDK: Build models using pre-configured templates or bring your own custom models. Deploy in seconds.
- Autoscale Compute: Automatically scale compute to eliminate idle time and optimize costs.
- Radically Cheaper Training: Pay only for training jobs; no charges for unused compute.
- Data Privacy by Design: Keep your data under your control with private data handling options.
- Transparent & Auditable: Cryptographically verifiable proofs for model traceability and accountability.
Why Teams Choose Lumino
- Reduces ML training costs by up to 80% and unlocks access to GPUs that may not be available elsewhere.
- Accelerates model development with templates and quick deployment pipelines.
- Provides governance features to ensure reproducibility and auditability of models.
Core Features
- Easy-to-use SDK for model development and deployment
- Pre-configured templates or custom model support
- Auto-scaling to minimize idle compute time
- Pay-per-training-job pricing model
- Private data handling and end-to-end data privacy controls
- Cryptographically verifiable provenance for model traceability
- Access to GPUs that are otherwise unavailable
- Transparent and auditable training workflows
- Quick deployment in seconds
How It Works
- Sign up and access the Global Cloud for AI Training.
- Choose a pre-configured template or upload your own model and data.
- Start training; Lumino autoscalest and charges you only for active training jobs.
- Deploy trained models with built-in governance and traceability.
Use Cases
- Rapid prototyping and experimentation for ML models
- Financial, healthcare, and research projects requiring private data handling
- Teams needing access to high-end GPUs without long-term commitments
Safety and Compliance
- Data privacy and security controls designed for enterprise-grade workloads.
- Transparent auditing ensures reproducibility and compliance with internal policies.