A naukri.com initiative
The New Stack
4w
199
Image Credit: The New Stack
Cloud Native and Open Source Help Scale Agentic AI Workflows
- Enterprise automation is leveraging intelligent agent workflows powered by AI, with large language models facing complexity and high costs.
- Small language models (SLMs) paired with cloud native platforms like Kubernetes and FaaS emerge for agile agentic AI applications.
- SLMs offer advantages in responsiveness, scalability, and cost-efficiency compared to large language models (LLMs).
- Microsoft’s Phi-3-mini and other SLMs are designed for efficiency and are suitable for deployments in various settings including edge devices.
- Cloud native architectures utilizing Kubernetes and FaaS provide scalable AI deployments with efficient resource allocation.
- Knative complements Kubernetes, enabling automatic scaling based on demand for serverless workloads.
- The Cloud Native Computing Foundation (CNCF) ecosystem provides tools like Prometheus, Grafana, and Istio for monitoring and optimization.
- Practical implementation involves using OCI Kubernetes Engine (OKE) to deploy small language models via Knative Serving for serverless capabilities.
- Deployment steps include provisioning a Kubernetes cluster, deploying Knative Serving, containerizing the SLM, and monitoring performance metrics.
- SLM agents show effectiveness in use-cases like real-time customer support, DevOps automation, and financial services, offering agility and cost-efficiency.
Read Full Article
12 Likes
For uninterrupted reading, download the app