repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 20h ago
autogluon/autogluon-cloud
Train and deploy ML models in the cloud
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 51%Optimize model training on Amazon SageMaker AI with NVIDIA Blackwell →
- PossiblePossibly related (embedding) · 50%Monitor and debug generative AI inference with SageMaker detailed metrics and Insights dashboard on CloudWatch →
- PossiblePossibly related (embedding) · 48%Accelerate your infrastructure deployments by up to 4x with AWS CloudFormation Express mode →
- PossiblePossibly related (embedding) · 47%NVIDIA and AWS Collaborate to Bring AI to Production at Scale →
- PossiblePossibly related (embedding) · 47%Predicting model behavior before release by simulating deployment →
- PossiblePossibly related (embedding) · 54%Deploying quantized models on Amazon SageMaker AI with Unsloth →
Covers
newsOptimize model training on Amazon SageMaker AI with NVIDIA BlackwellnewsMonitor and debug generative AI inference with SageMaker detailed metrics and Insights dashboard on CloudWatchnewsAccelerate your infrastructure deployments by up to 4x with AWS CloudFormation Express modenewsNVIDIA and AWS Collaborate to Bring AI to Production at ScalenewsPredicting model behavior before release by simulating deployment
Covers (incoming)
newsDeploying quantized models on Amazon SageMaker AI with UnslothnewsIn December 2025, startup Starcloud trained the first large language model ever trained in orbit, using an NVIDIA H100 — the same class of GPU built for Earth's AI data centres, now running roughly 500 kilometres above the planet. - ScienceBlog.com
Related across the graph
newsIn December 2025, startup Starcloud trained the first large language model ever trained in orbit, using an NVIDIA H100 — the same class of GPU built for Earth's AI data centres, now running roughly 500 kilometres above the planet. - ScienceBlog.comnewsDeploying quantized models on Amazon SageMaker AI with UnslothnewsAccelerate your infrastructure deployments by up to 4x with AWS CloudFormation Express modenewsPredicting model behavior before release by simulating deploymentnewsMonitor and debug generative AI inference with SageMaker detailed metrics and Insights dashboard on CloudWatchnewsOptimize model training on Amazon SageMaker AI with NVIDIA BlackwellnewsNVIDIA and AWS Collaborate to Bring AI to Production at Scale