Results for “distributed computing”

18 tools in this category · Updated 2 Nov 2026

“distributed computing”CodingWays to use: SDK / libraryShowing 18 tools

Flowerby FlowerYC W23Build federated AI systems across distributed datasetsFreemium
Kubeflowby KubeflowOpen source Kubernetes-native platform for AI and ML workloadsFree
Rayby AnyscaleOpen-source Python framework for scaling AI and ML workloadsFree
Anyscale Platformby AnyscaleManaged platform for running Ray-based AI workloads at scalePay as you go
New Relic AI Observabilityby New RelicObservability for AI-powered applications and agent stacksFreemium
Sentry Agent Tracingby SentryTraces AI agent runs and LLM calls inside Sentry application monitoringFreemium
PyTorchby PyTorch FoundationOpen source machine learning framework for building and training deep learning modelsFree
Runpodby RunpodGPU cloud for AI training, inference, and deploymentPay as you go
Tribuoby OracleJava machine learning library for classification, regression and clusteringFree
AutoGenby MicrosoftArchived open-source Python and .NET framework for multi-agent AI applicationsFree
vLLMby vLLMLLM inference and serving library.Free
FriendliAIby FriendliAIInference cloud for open-weight and custom AI modelsPay as you go
LLM Compressorby IBMOpen-source Python library for quantizing and pruning LLMs to run faster in vLLMFree
Modalby ModalServerless cloud compute for AI inference, training, and sandboxed code.Freemium
Transformersby Hugging FaceOpen-source Python library defining state-of-the-art ML models for inference and trainingFree
Chromaby ChromaOpen-source search infrastructure for AI apps, with the managed Cloud service being wound downFreemium
Amazon SageMaker AIby AmazonAWS service for customizing, training, deploying, and governing machine learning and generative AI models.Pay as you go
Tinkerby Thinking Machines LabA training API for fine-tuning open-weight models with your own data and loss functions.Pay as you go