#ramalama — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #ramalama, aggregated by home.social.
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To the moon and beyond: #RamaLama being tested by #NASA to potentially support a medical AI assistant for future deep space missions: https://www.redhat.com/en/blog/moon-and-beyond-ramalama-being-tested-nasa-potentially-support-medical-ai-assistant-future-deep-space-missions
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To the moon and beyond: #RamaLama being tested by #NASA to potentially support a medical AI assistant for future deep space missions: https://www.redhat.com/en/blog/moon-and-beyond-ramalama-being-tested-nasa-potentially-support-medical-ai-assistant-future-deep-space-missions
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@krisfreedain thanks for joining the local llm #ramalama fun!
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@krisfreedain thanks for joining the local llm #ramalama fun!
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⚡ RamaLama: modelli AI in locale dentro container OCI — GPU autodetect, isolamento nativo, API OpenAI-compatibile e supporto Hugging Face, tutto senza configurazioni complesse
https://gomoot.com/ramalama-come-eseguire-modelli-ai-in-locale-dentro-container-oci-isolati/ -
⚡ RamaLama: modelli AI in locale dentro container OCI — GPU autodetect, isolamento nativo, API OpenAI-compatibile e supporto Hugging Face, tutto senza configurazioni complesse
https://gomoot.com/ramalama-come-eseguire-modelli-ai-in-locale-dentro-container-oci-isolati/ -
Friends Don't Let Friends Use #Ollama https://sleepingrobots.com/dreams/stop-using-ollama/
For running LLMs locally use llama.cpp with its built-in web UI, or try #ramalama https://ramalama.ai/
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Friends Don't Let Friends Use #Ollama https://sleepingrobots.com/dreams/stop-using-ollama/
For running LLMs locally use llama.cpp with its built-in web UI, or try #ramalama https://ramalama.ai/
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Just completed my first Outreachy 2026 task setting up RamaLama
Here's what I did:
- Installed RamaLama 0.18.0 on macOS
- Pulled models using ollama:// and huggingface:// transports
- Tested Fedora-specific questions
Both models got the answers wrong which is exactly why RAG exists!RamaLama makes running AI models "boring" in the best way possible.
One command and you're up and running.Full documentation here
https://github.com/ChinniSree/outreachy-ramalama -
Just completed my first Outreachy 2026 task setting up RamaLama
Here's what I did:
- Installed RamaLama 0.18.0 on macOS
- Pulled models using ollama:// and huggingface:// transports
- Tested Fedora-specific questions
Both models got the answers wrong which is exactly why RAG exists!RamaLama makes running AI models "boring" in the best way possible.
One command and you're up and running.Full documentation here
https://github.com/ChinniSree/outreachy-ramalama -
Updating stickers on laptops... let's see how many I can tag
@matrix @ansible @InstructLab @thinkpadmuseum @trustyai @github @fedora
#ramalama #docling #vllm #llmd #pytorch #NERC #redhat #ospo #upstream #ansible #thinkpad #womeninfedora #expo2025 #kubeflow #trustyAI #cushingcenter #operationstickybusiness
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Updating stickers on laptops... let's see how many I can tag
@matrix @ansible @InstructLab @thinkpadmuseum @trustyai @github @fedora
#ramalama #docling #vllm #llmd #pytorch #NERC #redhat #ospo #upstream #ansible #thinkpad #womeninfedora #expo2025 #kubeflow #trustyAI #cushingcenter #operationstickybusiness
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Nice to see #ramalama added to the Goose AI docs by @maxamillion!
https://github.com/block/goose/commit/3bec469043773e8dca0d73002b06cbaa5f0956af
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Nice to see #ramalama added to the Goose AI docs by @maxamillion!
https://github.com/block/goose/commit/3bec469043773e8dca0d73002b06cbaa5f0956af
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Lukáš Růžička si pro vás připravil článek o tom, jak na :fedora: #Fedora používat #AI lokálně pomocí #ramalama.
https://mojefedora.cz/ramalama-aneb-vyhanime-lamy-na-vlastni-louku/
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Lukáš Růžička si pro vás připravil článek o tom, jak na :fedora: #Fedora používat #AI lokálně pomocí #ramalama.
https://mojefedora.cz/ramalama-aneb-vyhanime-lamy-na-vlastni-louku/
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Build your own local RAG with Ramalama and granite model https://medium.com/@nicolabertoli92/build-your-own-local-rag-with-ramalama-and-granite-model-d5d89e612114
#Ramalama #aiml #rag -
Build your own local RAG with Ramalama and granite model https://medium.com/@nicolabertoli92/build-your-own-local-rag-with-ramalama-and-granite-model-d5d89e612114
#Ramalama #aiml #rag -
Simplify AI data integration with RamaLama and RAG
https://developers.redhat.com/articles/2025/04/03/simplify-ai-data-integration-ramalama-and-rag#
#Docling #Ramalama #podman #aiml -
Simplify AI data integration with RamaLama and RAG
https://developers.redhat.com/articles/2025/04/03/simplify-ai-data-integration-ramalama-and-rag#
#Docling #Ramalama #podman #aiml -
How RamaLama helps make AI model testing safer https://www.infoworld.com/article/3853769/how-ramalama-helps-make-ai-model-testing-safer.html
#aiml #Ramalama #Container -
How RamaLama helps make AI model testing safer https://www.infoworld.com/article/3853769/how-ramalama-helps-make-ai-model-testing-safer.html
#aiml #Ramalama #Container -
@TheNewStack interviews Eric and Dan, maintainers of RamaLama about containerizing #AI development. If you haven't heard of the #RamaLama project before, this is a quick intro:
https://thenewstack.io/ramalama-project-brings-containers-and-ai-together/
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@TheNewStack interviews Eric and Dan, maintainers of RamaLama about containerizing #AI development. If you haven't heard of the #RamaLama project before, this is a quick intro:
https://thenewstack.io/ramalama-project-brings-containers-and-ai-together/
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How RamaLama runs AI models in isolation by default
https://developers.redhat.com/articles/2025/02/20/how-ramalama-runs-ai-models-isolation-default
#ramalama #podman #cncf #AI #artificialintelligence #security #opensource #containers #deepseek
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How RamaLama runs AI models in isolation by default
https://developers.redhat.com/articles/2025/02/20/how-ramalama-runs-ai-models-isolation-default
#ramalama #podman #cncf #AI #artificialintelligence #security #opensource #containers #deepseek
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I find it baffling, how many people are outraged by this blogpost:
https://blogs.gnome.org/uraeus/2025/02/03/looking-ahead-at-2025-and-fedora-workstation-and-jobs-on-offer/1. It's a personal blog, not even an official #Fedora / #RedHat blog ("official Red Hat communication happens on Redhat.com")
2. Yes, the blog post talks about AI. ABOUT #GRANITE AND #RAMALAMA, which are frameworks that allow setting up hw accelerated machine learning on Fedora #Workstation and make it easy. THIS DOESN'T MEAN WE'LL HAVE #CHATGPT IN FEDORAGuys, reading comprehension is a thing...
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Tired of the AI hype? 😴 I am too! 😅
RAMalama makes working with AI models boring (and that's a GOOD thing!).
Check out the latest #redhat #developers article to learn how RAMalama simplifies AI workflows:
- Streamline model deployment
- Reduce boilerplate code
- Focus on results, not infrastructure
#AI #MachineLearning #RAMalamahttps://developers.redhat.com/articles/2024/11/22/how-ramalama-makes-working-ai-models-boring
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The goal of #RamaLama is to make working with #AI boring.
https://github.com/containers/ramalama
#containers #sysadmin #tips -
#RedHat Developing #Ramalama To "Make #AI Boring" By Offering Simplicity & Ease Of Use
Ramalama leverages #OCI #containers and makes it easy to run AI inferencing across GPU, seamlessly fallback to CPU if no GPU support is present, and interfaces with #Podman and #Llamacpp to do heavy lifting while fetching models from #HuggingFace and #Ollama. Goal is to have native GPU support working across Intel, NVIDIA, Arm, and Apple. CPU support includes AMD, Intel, RISC-V, & Arm.
https://www.phoronix.com/news/Red-Hat-Ramalama
