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kala
@kala shared an update, 3 weeks, 2 days ago
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Google’s Cloud APIs Become Agent-Ready with Official MCP Support

#Model C...  #Apigee  #Google ...  #AI  #MCP 
Apigee Google Cloud Platform Google Kubernetes Engine (GKE) BigQuery

Google supports the Model Context Protocol to enhance AI interactions across its services, introducing managed servers and enterprise capabilities through Apigee.

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devopslinks
@devopslinks added a new tool BigQuery , 3 weeks, 2 days ago.
News FAUN.dev() Team Trending
devopslinks
@devopslinks shared an update, 3 weeks, 2 days ago
FAUN.dev()

AWS Previews DevOps Agent to Automate Incident Investigation Across Cloud Environments

#DevOps  #inciden...  #GenAI  #DevOps ...  #aws 
Datadog Amazon CloudWatch Dynatrace New Relic Amazon Web Services

AWS introduces an autonomous AI DevOps Agent to enhance incident response and system reliability, integrating with tools like Amazon CloudWatch and ServiceNow for proactive recommendations.

AWS Previews DevOps Agent to Automate Incident Investigation Across Cloud Environments
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@devopslinks added a new tool ServiceNow , 3 weeks, 2 days ago.
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@cmndrsp0ck started using tool Terraform , 3 weeks, 2 days ago.
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@cmndrsp0ck started using tool Ansible , 3 weeks, 2 days ago.
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@cmndrsp0ck started using tool Python , 3 weeks, 2 days ago.
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@cmndrsp0ck started using tool Kubernetes , 3 weeks, 2 days ago.
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@cmndrsp0ck started using tool Go , 3 weeks, 2 days ago.
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@cmndrsp0ck started using tool GNU/Linux , 3 weeks, 2 days ago.
vLLM is an advanced open-source framework for serving and running large language models efficiently at scale. Developed by researchers and engineers from UC Berkeley and adopted widely across the AI industry, vLLM focuses on optimizing inference performance through its innovative PagedAttention mechanism — a memory management system that enables near-zero waste in GPU memory utilization. It supports model parallelism, continuous batching, tensor parallelism, and dynamic batching across GPUs, making it ideal for real-world deployment of foundation models. vLLM integrates seamlessly with Hugging Face Transformers, OpenAI-compatible APIs, and popular orchestration tools like Ray Serve and Kubernetes. Its design allows developers and enterprises to host LLMs with reduced latency, lower hardware costs, and increased throughput, powering everything from chatbots to enterprise-scale AI services.