Type: Web Article Original link: https://ollama.com/blog/multimodal-models Publication date: 2025-09-06
Summary #
WHAT - Ollama’s blog article describes Ollama’s new engine for multimodal models, which supports AI models capable of processing and understanding data from different modalities (text, images, video).
WHY - It is relevant for the AI business because it allows the integration and management of multimodal models, improving the ability to understand and respond to complex inputs, such as images and videos, with applications in various sectors such as object recognition and multimedia content generation.
WHO - Key players include Ollama, Meta (Llama), Google (Gemma), Qwen, and Mistral. The AI developer and researcher community is involved in supporting and innovating these models.
WHERE - It positions itself in the market of multimodal AI solutions, competing with other platforms that offer support for advanced artificial intelligence models.
WHEN - The new engine has been recently introduced, indicating an active development phase and potential future expansion. The temporal trend suggests rapid technological progress in this sector.
BUSINESS IMPACT:
- Opportunities: Integration of advanced multimodal models to improve analysis and multimedia content generation capabilities.
- Risks: Competition with other AI platforms offering similar solutions.
- Integration: Possible integration with the existing stack to expand multimodal processing capabilities.
TECHNICAL SUMMARY:
- Core technology stack: Main languages Go and React, with support for multimodal models such as Llama, Gemma, Qwen, and Mistral.
- Scalability and architectural limits: The new engine aims to improve the scalability and accuracy of multimodal models, but may require further optimizations to handle large volumes of data.
- Key technical differentiators: Support for advanced multimodal models, improvement of the precision and reliability of local inferences, and foundations for future expansions into other modalities (speech, image and video generation).
Use Cases #
- Private AI Stack: Integration into proprietary pipelines
- Client Solutions: Implementation for client projects
- Strategic Intelligence: Input for technological roadmap
- Competitive Analysis: Monitoring AI ecosystem
Resources #
Original Links #
- Ollama’s new engine for multimodal models - Original link
Article recommended and selected by the Human Technology eXcellence team, processed through artificial intelligence (in this case with LLM HTX-EU-Mistral3.1Small) on 2025-09-06 12:10 Original source: https://ollama.com/blog/multimodal-models