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Use Case

Fine-tuning.

Train and customize AI models with efficient, cost-effective compute designed for large-scale fine-tuning.
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"Setup process was great—very quick and easy. RunPod had the exact GPUs we needed for inference and the pricing was very fair."
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Setup process was great—very quick and easy. RunPod had the exact GPUs we needed for inference and the pricing was very fair.
Read case study
Setup process was great—very quick and easy. RunPod had the exact GPUs we needed for inference and the pricing was very fair.
Read case study
Setup process was great—very quick and easy. RunPod had the exact GPUs we needed for inference and the pricing was very fair.
Read case study
"RunPod helped us scale the part of our platform that drives creation. That’s what fuels the rest—image generation, sharing, remixing. It starts with training."
Read case study
Setup process was great—very quick and easy. RunPod had the exact GPUs we needed for inference and the pricing was very fair.
Read case study

Accelerate fine-tuning at any scale.

Run full-scale fine-tuning with high-performance GPUs and parallelized workloads.

Optimized efficiency

Leverage top-tier GPUs with ultra-fast networking and disk I/O.

Scale on demand

Scale up for massive training runs or down for targeted fine-tuning.

Cost-effective compute without compromise.

Get the compute power you need without overpaying for idle resources.

Flexible pricing

Only pay for active training time with no idle GPU or overhead costs.

Optimize resources

Tailor GPU, memory, and storage configurations to your specific needs.

Simplify your fine-tuning workflow compute without compromise.

Streamline the process with user-friendly tools and environments.

Pre-config setups

Deploy environments with all necessary dependencies pre-installed.

Instant deployment

Serve fine-tuned models directly after training completion.
Templates

Find your next build.

Explore hundreds of official and community-built templates, ready to deploy in seconds.

Train large-scale LLMs and diffusion models.

Leverage PyTorch 2.1 on RunPod to fine-tune LLaMA 3, SDXL, or custom transformer models.

Fine-tune and generate AI art with Stable Diffusion.

Train custom Stable Diffusion models for photorealistic images, anime, or concept art.

Serve a high-performance AI chatbot at scale.

Deploy OpenAI-compatible models like Mistral and Mixtral for real-time conversational AI.

Deploy a real-time multimodal AI assistant.

Run large-scale language and vision models like LLaVA or OpenFlamingo with ultra-fast API serving.
Browse hundreds more
Developer Tools

Built-in developer tools & integrations.

Powerful APIs, CLI, and integrations
that fit right into your workflow.
Get started
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Full API access.

Automate everything with a simple, flexible API.

CLI & SDKs.

Deploy and manage directly from your terminal.

GitHub & CI/CD.

Push to main, trigger builds, and deploy in seconds.

Build what’s next.

The most cost-effective platform for building, training, and scaling machine learning
models—ready when you are.

Start for free
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