A New Challenger: INTELLECT-3's 100B Parameters Punch Above Their Weight
INTELLECT-3, a 100B+ parameter model, sets new benchmarks in AI, with open-sourced training components to foster research in reinforcement learning.
Updates and recent posts about Vertex AI.. Activity
@kala added a new tool DeepSeekMath-V2 , 2 weeks, 2 days ago.
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@kala added a new tool INTELLECT-3 , 2 weeks, 2 days ago.
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@devopslinks added a new tool Lustre , 2 weeks, 2 days ago.
Course
@eon01 published a course, 2 weeks, 3 days ago
Founder, FAUN.dev
Course
@eon01 published a course, 2 weeks, 5 days ago
Founder, FAUN.dev
Observability with Prometheus and Grafana
A Complete Hands-On Guide to Operational Clarity in Cloud-Native Systems
Course
@eon01 published a course, 2 weeks, 5 days ago
Founder, FAUN.dev
Cloud-Native Microservices With Kubernetes - 2nd Edition
A Comprehensive Guide to Building, Scaling, Deploying, Observing, and Managing Highly-Available Microservices in Kubernetes
Course
@eon01 published a course, 2 weeks, 5 days ago
Founder, FAUN.dev
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@anjali shared a link, 2 weeks, 5 days ago
Customer Marketing Manager, Last9
Instrument Jenkins With OpenTelemetry
Instrument Jenkins with OpenTelemetry to understand pipeline behavior, stage latency, and deploy steps using a single telemetry flow.
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.
