Nebius AI Studio expands with vision models, new language models, embeddings and LoRA

Nebius AI Studio has introduced a range of new AI models and features designed to enhance scalability and performance without rate limits, making them suitable for diverse applications from prototype to production. The platform now includes advanced vision-language models for tasks like image captioning and product recognition, as well as expanded language models such as Meta Llama-3.3-70B-Instruct for multilingual scenarios and dolphin-2.9.2-mixtral-8x22b for conversational AI and coding tasks. Additionally, new embedding models have been added to strengthen retrieval-augmented generation pipelines, ideal for building knowledge bases and semantic search engines. Nebius AI Studio offers a usage-based pricing model for deploying pre-trained LoRA models, eliminating fixed costs and allowing seamless scaling. The infrastructure supports massive batch processing and flexible deployment options, ensuring consistent performance across various use cases, including computer vision, advanced language processing, and RAG implementations. Users can start by logging into the AI Studio, experimenting with models, and integrating them via the comprehensive API, with transparent token-based pricing facilitating cost-effective scaling.

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