Model Hub

One Platform, Every AI Model — Cloud and Local, Unified

4Cloud Providers
50+Local Models
LoRATraining
GPUInference

AI Model Freedom

Never Be Locked Into a Single Provider

The AI landscape changes fast. Today's best model is tomorrow's legacy. Model Hub gives you the freedom to use any model—cloud or local—without rewriting your workflows or renegotiating contracts.

Provider Agnostic

Switch between OpenAI, Anthropic, Google, and xAI with a dropdown. Same workflow, different brain—no code changes required.

Data Sovereignty

Run models locally when data can't leave your network. 50+ open-source models available for on-premises deployment with GPU acceleration.

Cost Optimization

Route simple tasks to fast, cheap models. Save premium models for complex reasoning. Intelligent routing cuts costs without sacrificing quality.

Custom Training

Fine-tune models on your data with LoRA. Create domain-specific AI that understands your terminology, processes, and requirements.

The Right Model for Every Task

Use GPT-4o for complex reasoning, Claude for nuanced writing, Gemini for massive context, local Llama for sensitive data—all from the same unified interface, all in the same workflow.

Cloud AI Providers

World-Class Models, Instantly Available

Connect to leading AI providers with secure API key management. Auto-discover available models, track usage per tenant, and switch providers without changing a single workflow.

OpenAI

The industry standard. GPT-4o for multimodal intelligence, o1/o3 for advanced reasoning, DALL-E 3 for images, Whisper for transcription.

  • gpt-4o — Multimodal flagship (128K)
  • o1 / o3-mini — Advanced reasoning (200K)
  • dall-e-3 — Image generation
  • whisper-1 — Speech-to-text

Anthropic

The safety leader. Claude Opus for complex tasks, Sonnet for balanced performance, Haiku for speed—all with extended thinking capabilities.

  • claude-opus-4-5 — Flagship (200K)
  • claude-sonnet-4 — Balanced (200K)
  • claude-haiku-3-5 — Fast (200K)
  • Extended thinking for complex reasoning

Google AI

Massive context windows. Gemini handles 1-2M tokens for entire codebases. Imagen 3 for photorealistic images. Veo for video generation.

  • gemini-2.5-flash — Fast multimodal (1M)
  • gemini-2.0-pro — Flagship (2M tokens!)
  • imagen-3 — Image generation
  • Vertex AI enterprise support

xAI

Real-time knowledge. Grok models with live web access and current events understanding. Aurora for stunning image generation.

  • grok-3 — Flagship chat (128K)
  • grok-2 — Fast chat (128K)
  • aurora — Image generation
  • Real-time web knowledge

Local Model Inference

Run 50+ open-source models on your own hardware—complete data privacy, zero API costs

Llama 3.2 / 3.1

Meta's flagship open models. 1B to 70B parameters. Excellent instruction following and coding capabilities. The gold standard for local deployment.

Qwen 2.5

Alibaba's multilingual powerhouse. 7B to 32B parameters. Outstanding for code generation and mathematical reasoning.

Mistral / Mixtral

European efficiency. 7B base or 8x7B MoE architecture. Fast inference with strong multilingual performance.

Gemma 2 / Phi-3

Small but mighty. 3-27B parameters that punch above their weight. Perfect for resource-constrained deployments.

Three Powerful Runtimes

Ollama for easy one-click model management | HuggingFace Transformers for full control | llama.cpp for optimized GGUF inference

Beyond Text

Multimodal AI for Every Medium

Generate images, create videos, synthesize speech, and transcribe audio—all from the same unified platform. Chain modalities together in a single workflow.

Image Generation

DALL-E 3, Imagen 3, Aurora, SDXL, Flux. Cloud or local—photorealistic to artistic.

Video Generation

Google Veo for stunning AI video. Image-to-video and text-to-video capabilities.

Audio & Speech

OpenAI TTS for natural voices. Whisper for transcription. Full audio pipeline.

Local Image Generation

Run SDXL, Stable Diffusion 3.5, or Flux on your own GPU. Generate unlimited images with zero API costs. 8-16GB VRAM required depending on model.

Fine-Tuning & Training

Create custom AI that understands your domain with LoRA training on your own data

LoRA Training

Low-Rank Adaptation trains small adapter weights instead of full models. Hours instead of days. Consumer GPUs instead of data centers.

Train from DataHub

Select any DataHub table as training data. Automatically format conversations, Q&A pairs, or instruction sets from your existing data.

Full Control

Adjust learning rate, LoRA rank, epochs, and batch size. Monitor loss curves in real-time. Export to GGUF or SafeTensors.

Adapter Merging

Combine multiple LoRA adapters for compound capabilities. Domain knowledge + writing style + company terminology in one model.

Your Data. Your Model. Your Competitive Advantage.

Generic AI gives generic answers. Fine-tuned models understand your terminology, your processes, your customers. Turn proprietary knowledge into a moat your competitors can't cross.

Ready to Unify Your AI?

Stop juggling API keys and provider dashboards. Model Hub brings every AI model—cloud and local—into one unified, enterprise-ready platform.

Get Started Explore Agent Designer