Fine-Tune Custom AssistantsWithout Managing Infrastructure
Popular base models
Compute
Choose your compute model
Traditional or Confidential. Single Instance or GPU Cluster. All supported. All ready. All codeless.
Traditional Computing
Traditional compute
Train your models using traditional compute infrastructure.
- Single location
- Predictable performance
- Full control
Best for: Stable workloads, on-premise needs, predictable costs
Start with TraditionalConfidential Computing
Distributed compute across global nodes
Train with distributed compute across global nodes. Privacy-preserving, TDX-verified GPU attestation, unlimited scale.
Attestation
NVIDIA Confidential Computing
Intel TDX
AMD SEV- Global distribution
- Privacy-preserving
- Unlimited scale
Best for: Privacy-sensitive data, global scale
Explore ConfidentialOne platform. All compute types.
Choose Traditional or Confidential. Select Single Instance or GPU Cluster. Switch anytime. No infrastructure setup. No code required.
All compute types supported
Choose Traditional, Confidential, or Clustering. Switch anytime.
Ready infrastructure
No setup required. Start training in minutes.
Codeless interface
No-code workflows. Guided setup. Automatic configuration.
Unified platform
One platform. All compute types. Seamless integration.
How it works
How it flows
Three steps from dataset to production. No infrastructure. No complexity.
Prep data
Upload JSONL/CSV or connect stores. Mask and version in minutes. Quality scoring. PII detection. Automatic cleaning.
Tune & monitor
Choose SFT, DPO, PPO, RLAIF, CTO, or any method. Tweak knobs, and watch metrics stream. Confidential or Traditional compute.
Ship & iterate
Promote the winner, share the endpoint, and keep iterating from the same workspace. OpenAI-compatible deployment.
Capabilities
Model capability overview
Scan the core fine-tuning lanes and see which model families are supported. All modalities. All methods.
Text-to-text
Instruction copilots, support agents, knowledge search. Train any text model with any method.
Supported model examples
Image-to-text
Captioning, screenshot QA, product intelligence. Vision-language models with text and images.
Supported model examples
Audio Understanding
Train models to understand and reason about audio content, speech, music, and sounds.
Supported model examples
Audio-to-text (ASR)
Meeting transcription, contact center automation, voice analytics. High-accuracy speech recognition.
Supported model examples
Video-to-text
Long-form video understanding, compliance reviews, ops monitoring. Video-language reasoning.
Supported model examples
Code (text → code)
Developer copilots, CI assistants, automated refactors. Train models that code, reason, and act.
Supported model examples
Multimodal (text + image → text)
Unified copilots that can understand documents and UI screenshots. Multimodal reasoning at scale.
Supported model examples
Text-to-audio (TTS)
Voice generation, product voices, multilingual narration. High-quality speech synthesis.
Supported model examples
Text-to-embeddings
Retrieval, semantic search, embeddings for analytics. Train embedding models for RAG applications.
Supported model examples
Ready to fine-tune?Launch Studio now
Start training your custom AI models in minutes. No infrastructure setup. No code required.