Join us

ContentUpdates and recent posts about Vertex AI..
 Activity
@juliocalves started using tool Terraform , 1 week ago.
 Activity
@juliocalves started using tool Kubernetes , 1 week ago.
 Activity
@juliocalves started using tool Kubectl , 1 week ago.
 Activity
@juliocalves started using tool Grafana , 1 week ago.
 Activity
@juliocalves started using tool Amazon ECS , 1 week ago.
 Activity
@juliocalves started using tool Amazon CloudWatch , 1 week ago.
News FAUN.dev() Team Trending
@kala shared an update, 1 week ago
FAUN.dev()

OpenClaw Lightweight Alternative Launches: A 10MB AI Assistant That Runs on $10 Hardware

Go OpenClaw PicoClaw

Sipeed has released PicoClaw an OpenClaw micro alternative that uses 99% less memory than . , an open-source AI assistant written in Go that runs in under 10MB of RAM and boots in about one second. Designed for low-cost Linux boards starting around $10, it supports multiple LLM providers, chat platform integrations, and automation workflows. The project is MIT-licensed and available on GitHub.

OpenClaw Alternative Launches: A 10MB AI Assistant That Runs on $10 Hardware
 Activity
@kala added a new tool PicoClaw , 1 week ago.
Link
@varbear shared a link, 1 week ago
FAUN.dev()

Thoughts on the job market in the age of LLMs

The job market for AI professionals is challenging due to the high demand for senior talent and the importance of proving oneself as a junior employee. Hiring practices in AI are constantly evolving with the complexity and pace of progress in language models. Open-source contributions and meaningful.. read more  

Link
@varbear shared a link, 1 week ago
FAUN.dev()

Understanding the Go Compiler: The Linker

Go’s linker stitches together object files from each package, wires up symbols across imports, lays out memory, and patches relocations. It strips dead code, merges duplicate data by content hash, and spits out binaries that boot clean - with W^X memory segments and hooks into the runtime... read more  

Understanding the Go Compiler: The Linker
Vertex AI is Google Cloud’s end-to-end machine learning and generative AI platform, designed to help teams build, deploy, and operate AI systems reliably at scale. It unifies data preparation, model training, evaluation, deployment, and monitoring into a single managed environment, reducing operational complexity while supporting advanced AI workloads.

Vertex AI supports both custom models and foundation models, including Google’s Gemini model family. It enables organizations to fine-tune models, run large-scale inference, orchestrate agentic workflows, and integrate AI into production systems with strong security, governance, and observability controls.

The platform includes tools for AutoML, custom training with TensorFlow and PyTorch, managed pipelines, feature stores, vector search, and online and batch prediction. For generative AI use cases, Vertex AI provides APIs for text, image, code, multimodal generation, embeddings, and agent-based systems, including support for Model Context Protocol (MCP) integrations.

Built for enterprise environments, Vertex AI integrates deeply with Google Cloud services such as BigQuery, Cloud Storage, IAM, and VPC, enabling secure data access and compliance. It is widely used across industries like finance, healthcare, retail, and science for applications ranging from recommendation systems and forecasting to autonomous research agents and AI-powered products.