Platform Tools
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Modal
Freemium
Modal is a cloud platform for running Python code at scale with GPU acceleration, without managing infrastructure. Write standard Python functions decorated with Modal, and they run serverlessly on cloud GPUs in seconds. Modal handles cold starts, autoscaling, and parallel execution automatically. Popular for AI inference, model fine-tuning, batch processing, and running Jupyter notebooks with GPU. Developers at AI startups use Modal to run LLM inference and image generation pipelines cost-effectively.
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Replicate
Freemium
Replicate is a cloud platform for running open-source AI models via a simple API. Thousands of models including Stable Diffusion, Llama, Whisper, and CodeLlama are available as hosted endpoints with pay-per-use pricing. Developers can push custom models using Cog, Replicate's containerisation tool for ML models. No GPU infrastructure management required. Ideal for startups and developers who want to integrate AI capabilities without building and maintaining their own model serving infrastructure.
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Paperspace
Freemium
Paperspace is a cloud ML platform by DigitalOcean offering GPU-powered virtual machines, Gradient notebooks, and a managed MLOps platform for training and deploying models. Gradient provides Jupyter notebooks with free GPU access, experiment tracking, and model deployment workflows. Paperspace CORE offers on-demand and dedicated GPU VMs for training large models. Popular among researchers and ML engineers who need affordable GPU compute without the complexity of AWS or GCP.
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Together AI
Freemium
Together AI is a cloud platform for running, fine-tuning, and deploying open-source AI models with high performance and low cost. It offers inference APIs for 100+ open-source models including Llama, Mistral, and Qwen with speeds up to 400 tokens per second. Together's fine-tuning service supports full fine-tuning and LoRA on custom datasets. Used by AI startups as a cost-effective alternative to OpenAI for open-source model inference at scale.
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Lightning AI
Freemium
Lightning AI is the company behind PyTorch Lightning and the Lightning AI platform for building AI products end-to-end. The platform provides cloud studios with GPU compute, collaborative notebooks, and one-click model deployment. PyTorch Lightning simplifies training loop boilerplate while retaining full flexibility. Lightning Fabric enables scaling any PyTorch code to multiple GPUs and nodes. Used by researchers at Meta, Microsoft, and leading universities for scalable deep learning development.
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RunPod
Freemium
RunPod is a cloud GPU platform offering on-demand and spot GPU instances at competitive prices for AI training and inference workloads. It provides Secure Cloud and Community Cloud options, serverless GPU endpoints, and a template marketplace for popular AI frameworks. RunPod's serverless workers auto-scale to zero when idle, making it cost-effective for bursty inference workloads. Popular among AI developers for running Stable Diffusion, fine-tuning LLMs, and hosting custom model APIs affordably.
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Baseten
Paid
Baseten is a model inference platform for deploying open-source and custom AI models as production-grade APIs. It handles auto-scaling, GPU orchestration, and cold start optimisation so ML teams can focus on models rather than infrastructure. Baseten's Truss framework packages models for deployment with all dependencies. Supports streaming, batching, and model chaining for complex inference pipelines. Used by AI-first companies including Bland AI and Resemble AI for low-latency model serving.
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Anyscale
Paid
Anyscale is a managed platform for Ray, the open-source framework for scaling Python AI and ML workloads. It enables teams to scale LLM fine-tuning, batch inference, reinforcement learning, and data processing across clusters without managing infrastructure. Anyscale Endpoints provides a managed API for serving open-source LLMs with high throughput. Used by Spotify, Instacart, and OpenAI itself for large-scale distributed AI compute workloads.
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Gradient
Freemium
Gradient is an AI platform for fine-tuning and deploying large language models on private data without requiring ML expertise. Upload your dataset, select a base model, and Gradient handles the fine-tuning process and hosts the resulting model as a private API endpoint. Supports Llama, Mistral, and other open-source base models. Ideal for enterprises wanting custom LLMs trained on proprietary data with simple tooling and without managing GPU infrastructure.
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Cerebrium
Freemium
Cerebrium is a serverless ML infrastructure platform for deploying and scaling AI models on GPUs with cold start times under one second. Developers deploy custom Python inference functions and Cerebrium handles containerisation, auto-scaling, and GPU orchestration automatically. Supports all major ML frameworks including PyTorch, TensorFlow, and ONNX. Pay only for compute used with per-second billing. Popular with AI startups building real-time inference APIs for LLMs, speech recognition, and image generation.
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Lepton AI
Freemium
Lepton AI is a Pythonic cloud platform for building and running AI applications with minimal infrastructure overhead. Its SDK lets developers define AI workloads as simple Python classes that deploy to the cloud with one command. Lepton handles GPU provisioning, auto-scaling, and model serving. Offers a model marketplace with popular open-source LLMs and diffusion models ready to query via API. Founded by ex-Meta AI researchers and designed to make cloud AI development as simple as local Python development.
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Vertex AI
Paid
Vertex AI is Google Cloud's unified AI platform for building, deploying, and scaling machine learning models and generative AI applications. It provides managed infrastructure for model training, AutoML capabilities, a model garden of 100+ foundation models, vector search, and MLOps tools in a single integrated environment. Data science and engineering teams choose Vertex AI for its deep integration with Google Cloud services, enterprise-grade security, and comprehensive support for both custom ML and generative AI workloads.
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