Join us

ContentUpdates and recent posts about Lustre..
Link
@faun shared a link, 1 year, 1 month ago
FAUN.dev()

Run MCP Server in a Docker sandbox

MCP Proxytakes Docker's isolation to a higher plane. It sidesteps the security landmines ofnpxanduvxwhile morphing MCP intoSSE. Think of it as a clever hack against supply chain skullduggery... read more  

Link
@faun shared a link, 1 year, 1 month ago
FAUN.dev()

Playwright MCP server to Run test and generate code.

mcp-playwrightnow handles29 MCP tool calls, whipping up Python or JS code like a true pro. Agents, remember: "startcodegensession" for scripts that don't miss a beat!.. read more  

Playwright MCP server to Run test and generate code.
Link
@faun shared a link, 1 year, 1 month ago
FAUN.dev()

Do you really need a Vector Search Database?

Elasticsearchpulled a Houdini, besting the buzzed-about vector databases. It slashed costs by3xand effortlessly juggled a whopping600M embeddingslike it was born for the job... read more  

Do you really need a Vector Search Database?
Link
@faun shared a link, 1 year, 1 month ago
FAUN.dev()

Leveraging Chain‑of‑Thought Network Effects To Compete With Open Source Models

Open-source AImodels are hot on the heels of their proprietary cousins, speeding through life cycles that now barely stretch pastsix months. Companies caught in this sprint scramble to scale using reusableChain-of-Thought tokens—a crafty way to slice through redundant computation and chop down infer.. read more  

Link
@faun shared a link, 1 year, 1 month ago
FAUN.dev()

Agentic AI 101: Starting Your Journey Building AI Agents

AI agents are evolving from simple chatbots into powerful, tool-using assistants capable of web search, automation, and even reasoning. This guide walks you through building your first agent using the Agno Python library—from setup and tool integration to memory and RAG features. With just a few lin.. read more  

Link
@faun shared a link, 1 year, 1 month ago
FAUN.dev()

From MCP to multi-agents: The top 10 new open source AI projects on GitHub right now and why they matter

Get insights on the latest trends from GitHub experts while catching up on these exciting new projects... read more  

Link
@faun shared a link, 1 year, 1 month ago
FAUN.dev()

Build a gen AI–powered financial assistant with Amazon Bedrock multi-agent collaboration

Amazon Bedrock's multi-agent frameworkacts like a brain transplant for your AI projects. It lets you unleash specialized AI agents on beastly tasks likefinancial analysis. Why rely on a lone LLM when you can have a band of them tackling the complexities of high-stakes operations? This approach zeroe.. read more  

Build a gen AI–powered financial assistant with Amazon Bedrock multi-agent collaboration
Link
@faun shared a link, 1 year, 1 month ago
FAUN.dev()

A DOGE recruiter is staffing a project to deploy AI agents across the US government

Anthony Jancsoaims to unleashAI agentson more than 300 tasks across federal fronts. Translation: watch out, 70k jobs might vanish. Unsurprisingly, not everyone's cheering; brace for the fireworks... read more  

A DOGE recruiter is staffing a project to deploy AI agents across the US government
Link
@faun shared a link, 1 year, 1 month ago
FAUN.dev()

How To Set Up a Model Context Protocol Server

Model Context Protocol (MCP)is like that cool tool you didn't know you needed. It's a nimble bridge between LLM models and developer tools, though someday it might just become the backbone of future libraries—nothing fancy, just fundamental. EnterFastMCP, the under-the-radar hero. Fire it up, and it.. read more  

How To Set Up a Model Context Protocol Server
Link
@faun shared a link, 1 year, 1 month ago
FAUN.dev()

Agents in your software factory: Introducing the LLM primitive in Dagger

Daggerjust cranked its engine into overdrive with nativeLLMintegration. Now, AI agents can rev through your CI/CD workflows, automating tasks like code reviews with impressive flair. The new configuration lets LLMs jive with programmable building blocks in your code, all securely sandboxed. Consider.. read more  

Agents in your software factory: Introducing the LLM primitive in Dagger
Lustre is an open-source, parallel distributed file system built for high-performance computing environments that require extremely fast, large-scale data access. Designed to serve thousands of compute nodes concurrently, Lustre enables HPC clusters to read and write data at multi-terabyte-per-second speeds while maintaining low latency and fault tolerance.

A Lustre deployment separates metadata and file data into distinct services—Metadata Servers (MDS) handling namespace operations and Object Storage Servers (OSS) serving file contents stored across multiple Object Storage Targets (OSTs). This architecture allows clients to access data in parallel, achieving performance far beyond traditional network file systems.

Widely adopted in scientific computing, supercomputing centers, weather modeling, genomics, and large-scale AI training, Lustre remains a foundational component of modern HPC stacks. It integrates with resource managers like Slurm, supports POSIX semantics, and is designed to scale from small clusters to some of the world’s fastest supercomputers.

With strong community and enterprise support, Lustre provides a mature, battle-tested solution for workloads that demand extreme I/O performance, massive concurrency, and petabyte-scale distributed storage.