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Results for “distributed computing”

21 tools in Coding · Updated

“distributed computing”Coding › Sandboxes and infrastructureShowing 21 tools
  • Flowerby FlowerYC W23Build federated AI systems across distributed datasetsFreemium
  • Kubeflowby KubeflowOpen source Kubernetes-native platform for AI and ML workloadsFree
  • SenseCoreby SenseTimeSenseTime's AI infrastructure platform for training and deploying modelsContact sales
  • 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
  • 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
  • vLLMby vLLMLLM inference and serving library.Free
  • io.netby io.netAccess GPU machines and clusters for AI workloadsPay as you go
  • Liquid AIby Liquid AIEfficient foundation models for on-device and edge deployment.Freemium
  • FriendliAIby FriendliAIInference cloud for open-weight and custom AI modelsPay as you go
  • Personal AI MODEL-4by Personal AIDeliver memory-based AI services through a telecommunications networkContact sales
  • Nscale Cloudby NscaleManaged AI cloud platform with dedicated GPU infrastructureUnknown
  • LLM Compressorby IBMOpen-source Python library for quantizing and pruning LLMs to run faster in vLLMFree
  • NVIDIA Dynamoby NVIDIAOpen-source framework for serving LLMs across multi-GPU, multi-node clustersFree
  • Modalby ModalServerless cloud compute for AI inference, training, and sandboxed code.Freemium
  • Model Vaultby CohereDedicated, fully managed inference for Cohere modelsPay as you go
  • 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
  • Red Hat AI Inferenceby IBMSelf-managed vLLM and llm-d inference stack for running open models on your own acceleratorsContact sales

That’s all 21 tools.