Question: Do you know of a service that provides fast and customizable ML model training with dedicated hosting and API endpoints?

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TuneMyAI

TuneMyAI is a great option for developers who need to get ML models into production fast. It offers fast finetuning with NVIDIA A100 GPUs and tight integration with Hugging Face. The service offers options for dedicated model hosting and an API endpoint for inference requests, so it's a good option for developers who want to speed up their model deployment pipeline.

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Modelbit

Modelbit is another good option for deploying custom and open-source ML models to autoscaling infrastructure. It includes MLOps tools for model serving, Git integration and industry-standard security. With pricing tiers that range from light use to heavy use, including an on-demand model for cost control, Modelbit can accommodate a wide range of ML models and deployment services.

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Predibase

For those who want to fine-tune and serve large language models (LLMs), Predibase is a good option for low cost and high performance. It supports a variety of models, including LLaMA-2 and Mistral, and charges on a pay-as-you-go pricing model. With features like free serverless inference and dedicated deployments, Predibase is a good option for developers who need scalable and secure LLMs.

Additional AI Projects

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RunPod

Spin up GPU pods in seconds, autoscale with serverless ML inference, and test/deploy seamlessly with instant hot-reloading, all in a scalable cloud environment.

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Together

Accelerate AI model development with optimized training and inference, scalable infrastructure, and collaboration tools for enterprise customers.

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Dayzero

Hyper-personalized enterprise AI applications automate workflows, increase productivity, and speed time to market with custom Large Language Models and secure deployment.

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Keywords AI

Streamline AI application development with a unified platform offering scalable API endpoints, easy integration, and optimized tools for development and monitoring.

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Prem

Accelerate personalized Large Language Model deployment with a developer-friendly environment, fine-tuning, and on-premise control, ensuring data sovereignty and customization.

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ThirdAI

Run private, custom AI models on commodity hardware with sub-millisecond latency inference, no specialized hardware required, for various applications.

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MLflow

Manage the full lifecycle of ML projects, from experimentation to production, with a single environment for tracking, visualizing, and deploying models.

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Replicate

Run open-source machine learning models with one-line deployment, fine-tuning, and custom model support, scaling automatically to meet traffic demands.

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KeaML

Streamline AI development with pre-configured environments, optimized resources, and seamless integrations for fast algorithm development, training, and deployment.

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Forefront

Fine-tune open-source language models on your own data in minutes, without infrastructure setup, for better results in your specific use case.

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Airtrain AI

Experiment with 27+ large language models, fine-tune on your data, and compare results without coding, reducing costs by up to 90%.

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AIML API

Access over 100 AI models through a single API, with serverless inference, flat pricing, and fast response times, to accelerate machine learning project development.

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Novita AI

Access a suite of AI APIs for image, video, audio, and Large Language Model use cases, with model hosting and training options for diverse projects.

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Dify

Build and run generative AI apps with a graphical interface, custom agents, and advanced tools for secure, efficient, and autonomous AI development.

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Exthalpy

Fine-tune large language models in real-time with no extra cost or training time, enabling instant improvements to chatbots, recommendations, and market intelligence.

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Baseplate

Links and manages data for Large Language Model tasks, enabling efficient embedding, storage, and versioning for high-performance AI app development.

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PI.EXCHANGE

Build predictive machine learning models without coding, leveraging an end-to-end pipeline for data preparation, model development, and deployment in a collaborative environment.

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Humanloop

Streamline Large Language Model development with collaborative workflows, evaluation tools, and customization options for efficient, reliable, and differentiated AI performance.

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Klu

Streamline generative AI application development with collaborative prompt engineering, rapid iteration, and built-in analytics for optimized model fine-tuning.

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LastMile AI

Streamline generative AI application development with automated evaluators, debuggers, and expert support, enabling confident productionization and optimal performance.

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Unify

Dynamically route prompts to the best available LLM endpoints, optimizing results, speed, and cost with a single API key and customizable routing.