TurboML

TurboML is an AI Agents & Automation tool that helps build continual, adaptive, and personalized AI. It offers a complete AI platform from data ingestion to post-deployment, built for real-time operations.

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At a glance

Pricing

Freemium · Usage-based · Enterprise

Free tier

Yes

API

Yes

Skill level

Technical

About

What is TurboML?

TurboML is an AI development platform designed to build continual, adaptive, and personalized AI solutions. It provides a comprehensive platform to manage all AI needs, from data ingestion to post-deployment. The platform is built for real-time operations, accelerating experimentation with real-time data and continuous model updates. It integrates with existing tech stacks using open protocols and familiar tools, offering an easy-to-use Python and Jupyter interface. TurboML supports flexible deployment options including private VPC, on-prem, or hybrid infrastructures, and allows for complete innovation through custom Python scripting and streaming APIs.

Best used for

Ideal for developers who need to build continual, adaptive, and personalized AI, manage the entire AI lifecycle from data ingestion to deployment, and accelerate experimentation with real-time data. Especially valuable for businesses scaling machine learning operations or large enterprises with complex ML workloads.

Common actions

build AI models

manage AI lifecycle

deploy machine learning

monitor AI performance

scale ML operations

Capabilities

Key features

Complete AI platform
Real-time data processing
Continuous model updates
Flexible deployment options
Custom Python scripting
Experiment tracking
Cost/usage tracking

Target Audience

developer

Integrations

google-cloudamazon-web-servicesmicrosoft-azurenvidia

Pricing & Plans

Freemium · Usage-based · Enterprise

Not publicly disclosed. Check turboml.com for current pricing.

FAQs

What is a TurboML Billing Unit (TBU) and how is it calculated?

A TBU is the core metric for usage-based billing, representing the normalized cost of operations like data processing, storage, and retrieval. Your monthly costs are calculated based on TBUs consumed across activities such as data retrieval, data storage, and instance usage. 1 TBU equals $0.01.

What deployment options does TurboML offer for its Enterprise plan?

The Enterprise plan offers flexible deployment options including fully private VPC, on-prem, or hybrid infrastructures. This allows large enterprises to meet complex ML workloads and hybrid infrastructure requirements with advanced security and compliance.

Does TurboML support GPU-powered instances for machine learning models?

Yes, TurboML offers a diverse range of GPU-powered instances tailored for efficient training and deployment of machine learning models. These instances are powered by NVIDIA GPUs like A10G, T4, L4, A100, and H100, providing exceptional performance for demanding workloads.

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Coding & Development › DevOps & Infrastructure

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