Daniel Walsh
@rhatdan
Followers
10K
Following
1K
Media
175
Statuses
8K
Mr SELinux, Red Hat Senior Distinguished Engineer, works on RamaLama AI Tools, OCI Containers, Podman, Buildah & OpenShift. Author "Podman in Action".
Maine, USA
Joined September 2009
Congratulations @podman_io Desktop and Podman Team on getting to 3,000,000 unique downloads. Have you tried it yet? Millions of daily users of Podman and Podman Desktop. @redhat @ibm @openshift
1
6
12
Joining the Podman Desktop community meeting. Demonstrate and discuss the cool features of this TOTALLY Free tool. From ability to launch containers, pods, locally and directly into Kubernetes. Now with AI Plugins to help developers get into AI.
github.com
Podman Desktop Community Meeting! Details: Date and Time: Thursday June 26 9-10 AM EST Occurs every 4th Thursday of the month from 9-10 AM EST How to Connect Join from PC, Mac, iPad, or Android htt...
1
6
14
Unlike some competitors we believe that AI Models should be run in containers with a developer tool like RamaLama. This blog explains `How we improved AI inference on macOS @Podman_io containers`
developers.redhat.com
Containers are technologies that allow the packaging and isolation of applications, along with their entire runtime environment. This eases the transition between environments (dev, test, production)
1
8
24
Podman getting proper support in @microsoft vscode. @redhat @IBM Removing the @docker adjective. https://t.co/hluIobT2Z2
techcommunity.microsoft.com
The first, most obvious thing is the introduction of the Container Tools extension to broaden our focus and open new extensibility opportunities. The...
1
13
35
RamaLama 0.7.2 has new RAG features. Making it simple to use your Documents with an AI Model right on your laptop. Two commands and you have a RAG enabled AI Model with RamaLama. This blog explains how: @redhat @ibm
developers.redhat.com
The RamaLama project makes it easy to run AI locally by combining AI models and container technology. The RamaLama project has prepared all software necessary to run an AI model in container images
1
12
21
RamaLama makes RAG data handling in AI Models borning. 1 command translates documents, PDF, MD, Docx ..) into RAG vectordb inside of container image. Then run separate RamaLama command to serve RAG data with specified AI model. @redhat @ibm @openshift
developers.redhat.com
The RamaLama project makes it easy to run AI locally by combining AI models and container technology. The RamaLama project has prepared all software necessary to run an AI model in container images
0
10
15
After much bureaucracy we finally have https://t.co/I8CBd8148M check it out.
1
2
11
The trustworthiness of a model is not binary... A great blog post by @rhatdan on how RamaLama can be used to encapsulate and secure AI workloads.
Running untrusted AI Models more securely using containers via RamaLama and @Podman_io . @ibm @openshift @redhat
0
2
0
Running untrusted AI Models more securely using containers via RamaLama and @Podman_io . @ibm @openshift @redhat
developers.redhat.com
Over the last few weeks, we have seen a spike in both users and GitHub stars for RamaLama, an open source project that simplifies AI model management by leveraging OCI containers. (Read How RamaLama
0
10
22
Developers are tired of hearing about AI as a panacea. The backlash may be just what organizations need to effectively implement the technology.
infoworld.com
Developers are tired of hearing about AI as a panacea. The backlash may be just what organizations need to effectively implement the technology.
1
6
19
🚀 New Episode Alert! 🎙️ We’re diving into the world of containers with Red Hat legend Daniel Walsh (@rhatdan)! From replacing Docker with Podman to redefining Kubernetes workflows, Daniel shares his years of open-source wisdom and the numerous projects he's involved in on part
2
5
8
RamaLama just hit 1000 ⭐️ on https://t.co/jP13LyMNOV It is developing nicely. Making running AI Easy though the combination of AI Models and Containers. @redhat @Ibm @Openshift
github.com
RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of ...
1
11
46