AI domain-specific model

Google Cloud's unified platform for building, deploying, and scaling enterprise AI agents and models.

Enterprise AI platform for building, deploying, and governing models and agents

Fine-tune GPT-4o-mini and friends on your own data.

Meta's open-weight LLM family covering 1B mobile models up to 405B frontier and natively multimodal 10M-context Llama 4 variants.

Alibaba's open-weight foundation model family covering chat, vision, image generation, translation, and safety classification.

Declarative, YAML-driven deep learning framework for fine-tuning LLMs and multi-modal models without writing training loops.

Fine-tuning and reinforcement learning platform for turning expensive prompts into cheap, fast, task-specific models.

Open-source LLM fine-tuning toolkit with custom kernels that train 2-30x faster and use up to 90% less VRAM.

No-code fine-tuning and training pipeline that spins up state-of-the-art models on the Hugging Face Hub.

On-demand NVIDIA GPU cloud built specifically for training, fine-tuning, and serving large AI models.

Managed fine-tuning platform for open-source LLMs and vision models with LoRA, full fine-tuning, and RL support.

End-to-end platform for training and deploying ML models on microcontrollers, sensors, and other edge hardware.

Memory-tuning platform for grounding LLMs in your facts.

Enterprise ModelOps platform for deploying and running AI/ML models across cloud, on-prem, and edge.

Open-source, no-code WebUI for fine-tuning 100+ open LLMs with LoRA, QLoRA, DPO, and PPO.

Enterprise-grade data and AI analytics platform with built-in governance, MCP server, and a Copilot for regulated industries.

Enterprise agent platform from Scale AI that connects your data, orchestrates multi-agent workflows, and learns from human feedback inside your own VPC.

Fine-tune and serve open-source LLMs on your own data without managing GPUs.

Sovereign enterprise platform for building, deploying, and governing AI agents on your own infrastructure.