OF

Open

Finetune

Launch Console

OPEN FINETUNE

The Open Fine-Tuning and Inference Platform

A unified, user-friendly platform for all AI model needs. Train, deploy, and scale without stitching together tooling or managing infrastructure.

Single Platform

A unified, user-friendly platform for all AI model needs.

Fine-Tune Models

Efficiently fine-tune open-source AI models with ease.

Production Ready

Seamlessly serve and scale models for production, eliminating infrastructure complexity.

---

TRUSTED BY TEAMS WHO CARE ABOUT LATENCY

Orchestrate
Hyperbeam
VectorShift
GridSync
DeltaML
Northstar

A complete toolkit for AI

Open Finetune delivers enterprise-grade capabilities through an intuitive interface, eliminating the traditional barriers between model development and production deployment.

Our platform handles infrastructure complexity so your team can focus on innovation.

Finetune with Ease

Upload your dataset and fine-tune popular open-source models in just a few clicks. No complex setup, dependency management, or infrastructure configuration required.

Instant Deployment

Serve your custom models via a scalable, production-ready API with built-in monitoring and logging. We handle all infrastructure, security, and optimization automatically.

Scale On-Demand

Automatically scale your endpoints from zero to millions of requests with intelligent load balancing. Pay only for actual compute time with per-second billing precision.

Production-ready infrastructure from day one

Deploy with confidence

Deploy with confidence using our battle-tested platform that powers millions of AI inference requests daily. Built-in redundancy, automatic failover, and global edge distribution ensure your models are always available.

99.9% uptime SLA with automated health monitoring

Sub-100ms p95 latency across global regions

Zero-downtime model updates and version rollback

Enterprise-grade security and compliance controls

Built for the best open-source models

Leverage cutting-edge capabilities without vendor lock-in

Open Finetune supports the most advanced open-source AI models, and our platform is continuously updated to include the latest architectures as they emerge.

Model

Qwen

Alibaba Cloud's multilingual model family built for reasoning-rich enterprise workloads

Model

LLama

Meta's flagship open weights model with best-in-class reasoning and tooling support

Model

Gemma

Google's lightweight models designed for diverse applications

Model

Phi

Microsoft's compact models with exceptional performance per parameter

Streamlined fine-tuning workflow

From data to deployment in minutes

01

Gather Training Data

Securely upload training datasets in JSON, CSV, or Parquet format. Our platform automatically validates and preprocesses your data for optimal training results.

02

Configure Training

Select your base model, adjust hyperparameters with intelligent defaults, and choose compute resources. Preview cost estimates before starting training runs.

03

Monitor Progress

Track training metrics in real-time with detailed loss curves, validation scores, and resource utilization dashboards. Receive notifications on completion.

04

Deploy Instantly

Launch your fine-tuned model with a single click. Generate API keys, configure rate limits, and start serving predictions in under a minute.

Transparent, usage-based pricing

Only pay for the compute you use

No upfront costs, no reserved capacity requirements, and no hidden fees. Open Finetune charges only for actual compute time, measured to the second. Our pricing model scales with your needs—from prototype to production.

Training costs start at $4.50 per GPU-hour with automatic checkpointing to minimize waste. Inference pricing begins at $0.002 per thousand tokens with volume discounts available for enterprise deployments.

Per GPU-hour

Training compute starting price

Per 1K tokens

Inference API pricing

Setup fees

Start building immediately

Enterprise-grade security and compliance

Protect every stage of your AI lifecycle

End-to-End Encryption

All data is encrypted in transit using TLS 1.3 and at rest using AES-256. Your models and training data remain completely isolated within dedicated compute environments.

Compliance Ready

SOC 2 Type II certified with GDPR and HIPAA compliance options available. Regular third-party security audits and penetration testing ensure platform integrity.

Access Controls

Granular role-based access controls, SSO integration with major identity providers, and comprehensive audit logging for complete operational transparency.

Developers love Open Finetune

Proof from teams in production

“We reduced our model deployment time from weeks to hours. The API is intuitive, the documentation is excellent, and the performance has been rock-solid since day one.”

Sarah Chen

VP Engineering at TechVision

“Open Finetune eliminated our need for a dedicated ML ops team. We can now iterate on models as quickly as we iterate on code, which has transformed our development velocity.”

Marcus Rodriguez

CTO at DataFlow Systems

Comprehensive developer resources

Everything you need to build with confidence

Documentation

  • Quickstart guides
  • API reference
  • Best practices
  • Code examples

Support

  • 24/7 technical support
  • Dedicated Slack channel
  • Migration assistance
  • Architecture reviews

Community

  • GitHub discussions
  • Monthly webinars
  • Tutorial library
  • Open-source SDKs

New to AI fine-tuning?

Our getting started guide walks you through your first model deployment in under 15 minutes, with no prior ML experience required.

Start fine-tuning today

Launch your first model in minutes

Sign up and get your first model deployed in minutes. No credit card required to start experimenting with our platform. Join thousands of developers building the next generation of AI applications.