We discuss Symbolic AI via LLMs for advanced reasoning in manufacturing and real-time analytics. Key points included leveraging symbolic representations and algebraic equations, utilizing knowledge graphs to improve model accuracy, and exploring agentic AI frameworks with specialized agents working together using swarm intelligence principles to tackle complex problems like anomaly detection and process optimization. The group also discussed the challenges of building trust in AI systems and the importance of capturing and storing questions and answers to build a knowledge base.
Tag Archives: Swarm
Smaller Nodes? Just the Right Size for Docker!
Container workloads have the potential to redefine how we think about scale and hosted infrastructure.
Last Fall, Ubiquity Hosting and RackN announced a 200 node Docker Swarm cluster as a phase one of our collaboration. Unlike cloud-based container workloads demonstrations, we chose to run this cluster directly on the bare metal.
Why bare metal instead of virtualized? We believe that metal offers additional performance, availability and control.
With the cluster automation ready, we’re looking for customers to help us prove those assumptions. While we could simply build on many VMs, our analysis is the a lot of smaller nodes will distribute work more efficiently. Since there is no virtualization overhead, lower RAM systems can still give great performance.
The collaboration with RackN allows us to offer customers a rapid, repeatable cluster capability. Their Digital Rebar automation works on a broad spectrum of infrastructure allow our users to rehearse deployments on cloud, quickly change components and iteratively tune the cluster.
We’re finding that these dedicated metal nodes have much better performance than similar VMs in AWS? Don’t believe us – you can use Digital Rebar to spin up both and compare. Since Digital Rebar is an open source platform, you can explore and expand on it.
The Docker Swarm deployment is just a starting point for us. We want to hear your provisioning ideas and work to turn them into reality.
2015 Container Review
It’s been a banner year for container awareness and adoption so we wanted to recap 2015. For RackN, container acceleration is near to our heart because we both enable and use them in fundamental ways. Look for Rob’s 2016 predictions on his blog.
The RackN team has truly deep and broad experience with containers in practical use. In the summer, we delivered multiple container orchestration workloads including Docker Swarm, Kubernetes, Cloud Foundry, StackEngine and others. In the fall, we refactored Digital Rebar to use Docker Compose with dramatic results. And we’ve been using Docker since 2013 (yes, “way back”) for ops provisioning and development.
To make it easier to review that experience, we are consolidating a list of our container related posts for 2015.
General Container Commentary
- Containers vs VMs (Mar 2015)
- Four ways Containers threaten VMware (Jul 2015)
- Why Dockerhub is critical infrastructure (Oct 2015)
- Security benefits from Immutable Infrastructure (Dec 2015)
- Designing for Containers on Metal (July 2015)
- HyperVMs – between VM and Container (July 2015)
- What are containers? An analogy using movies (June 2015)