Best AI Inference Platforms for Python
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Compare the Top AI Inference Platforms that integrate with Python as of June 2025
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This a list of AI Inference platforms that integrate with Python. Use the filters on the left to add additional filters for products that have integrations with Python. View the products that work with Python in the table below.
What are AI Inference Platforms for Python?
AI inference platforms enable the deployment, optimization, and real-time execution of machine learning models in production environments. These platforms streamline the process of converting trained models into actionable insights by providing scalable, low-latency inference services. They support multiple frameworks, hardware accelerators (like GPUs, TPUs, and specialized AI chips), and offer features such as batch processing and model versioning. Many platforms also prioritize cost-efficiency, energy savings, and simplified API integrations for seamless model deployment. By leveraging AI inference platforms, organizations can accelerate AI-driven decision-making in applications like computer vision, natural language processing, and predictive analytics. Compare and read user reviews of the best AI Inference platforms for Python currently available using the table below. This list is updated regularly.
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1
Vertex AI
Google
AI Inference in Vertex AI enables businesses to deploy machine learning models for real-time predictions, helping organizations derive actionable insights from their data quickly and efficiently. This capability allows businesses to make informed decisions based on up-to-the-minute analysis, which is critical in dynamic industries such as finance, retail, and healthcare. Vertex AI’s platform supports both batch and real-time inference, offering flexibility based on business needs. New customers receive $300 in free credits to experiment with deploying their models and testing inference on various data sets. By enabling swift and accurate predictions, Vertex AI helps businesses unlock the full potential of their AI models, driving smarter decision-making processes across their organization.Starting Price: Free ($300 in free credits) -
2
Mistral AI
Mistral AI
Mistral AI is a pioneering artificial intelligence startup specializing in open-source generative AI. The company offers a range of customizable, enterprise-grade AI solutions deployable across various platforms, including on-premises, cloud, edge, and devices. Flagship products include "Le Chat," a multilingual AI assistant designed to enhance productivity in both personal and professional contexts, and "La Plateforme," a developer platform that enables the creation and deployment of AI-powered applications. Committed to transparency and innovation, Mistral AI positions itself as a leading independent AI lab, contributing significantly to open-source AI and policy development.Starting Price: Free -
3
Replicate
Replicate
Replicate is a platform that enables developers and businesses to run, fine-tune, and deploy machine learning models at scale with minimal effort. It offers an easy-to-use API that allows users to generate images, videos, speech, music, and text using thousands of community-contributed models. Users can fine-tune existing models with their own data to create custom versions tailored to specific tasks. Replicate supports deploying custom models using its open-source tool Cog, which handles packaging, API generation, and scalable cloud deployment. The platform automatically scales compute resources based on demand, charging users only for the compute time they consume. With robust logging, monitoring, and a large model library, Replicate aims to simplify the complexities of production ML infrastructure.Starting Price: Free -
4
Towhee
Towhee
You can use our Python API to build a prototype of your pipeline and use Towhee to automatically optimize it for production-ready environments. From images to text to 3D molecular structures, Towhee supports data transformation for nearly 20 different unstructured data modalities. We provide end-to-end pipeline optimizations, covering everything from data decoding/encoding, to model inference, making your pipeline execution 10x faster. Towhee provides out-of-the-box integration with your favorite libraries, tools, and frameworks, making development quick and easy. Towhee includes a pythonic method-chaining API for describing custom data processing pipelines. We also support schemas, making processing unstructured data as easy as handling tabular data.Starting Price: Free -
5
NLP Cloud
NLP Cloud
Fast and accurate AI models suited for production. Highly-available inference API leveraging the most advanced NVIDIA GPUs. We selected the best open-source natural language processing (NLP) models from the community and deployed them for you. Fine-tune your own models - including GPT-J - or upload your in-house custom models, and deploy them easily to production. Upload or Train/Fine-Tune your own AI models - including GPT-J - from your dashboard, and use them straight away in production without worrying about deployment considerations like RAM usage, high-availability, scalability... You can upload and deploy as many models as you want to production.Starting Price: $29 per month -
6
Athina AI
Athina AI
Athina is a collaborative AI development platform that enables teams to build, test, and monitor AI applications efficiently. It offers features such as prompt management, evaluation tools, dataset handling, and observability, all designed to streamline the development of reliable AI systems. Athina supports integration with various models and services, including custom models, and ensures data privacy through fine-grained access controls and self-hosted deployment options. The platform is SOC-2 Type 2 compliant, providing a secure environment for AI development. Athina's user-friendly interface allows both technical and non-technical team members to collaborate effectively, accelerating the deployment of AI features.Starting Price: Free -
7
NVIDIA TensorRT
NVIDIA
NVIDIA TensorRT is an ecosystem of APIs for high-performance deep learning inference, encompassing an inference runtime and model optimizations that deliver low latency and high throughput for production applications. Built on the CUDA parallel programming model, TensorRT optimizes neural network models trained on all major frameworks, calibrating them for lower precision with high accuracy, and deploying them across hyperscale data centers, workstations, laptops, and edge devices. It employs techniques such as quantization, layer and tensor fusion, and kernel tuning on all types of NVIDIA GPUs, from edge devices to PCs to data centers. The ecosystem includes TensorRT-LLM, an open source library that accelerates and optimizes inference performance of recent large language models on the NVIDIA AI platform, enabling developers to experiment with new LLMs for high performance and quick customization through a simplified Python API.Starting Price: Free -
8
E2B
E2B
E2B is an open source runtime designed to securely execute AI-generated code within isolated cloud sandboxes. It enables developers to integrate code interpretation capabilities into their AI applications and agents, facilitating the execution of dynamic code snippets in a controlled environment. The platform supports multiple programming languages, including Python and JavaScript, and offers SDKs for seamless integration. E2B utilizes Firecracker microVMs to ensure robust security and isolation for code execution. Developers can deploy E2B within their own infrastructure or utilize the provided cloud service. The platform is designed to be LLM-agnostic, allowing compatibility with various large language models such as OpenAI, Llama, Anthropic, and Mistral. E2B's features include rapid sandbox initialization, customizable execution environments, and support for long-running sessions up to 24 hours.Starting Price: Free -
9
Pruna AI
Pruna AI
Pruna uses generative AI to enable companies to produce professional-grade visual content quickly and affordably. By eliminating the traditional need for studios and manual editing, it empowers brands to create consistent, customized images for advertising, product displays, and digital campaigns with minimal effort.Starting Price: $0.40 per runtime hour -
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Tecton
Tecton
Deploy machine learning applications to production in minutes, rather than months. Automate the transformation of raw data, generate training data sets, and serve features for online inference at scale. Save months of work by replacing bespoke data pipelines with robust pipelines that are created, orchestrated and maintained automatically. Increase your team’s efficiency by sharing features across the organization and standardize all of your machine learning data workflows in one platform. Serve features in production at extreme scale with the confidence that systems will always be up and running. Tecton meets strict security and compliance standards. Tecton is not a database or a processing engine. It plugs into and orchestrates on top of your existing storage and processing infrastructure. -
11
fal
fal.ai
fal is a serverless Python runtime that lets you scale your code in the cloud with no infra management. Build real-time AI applications with lightning-fast inference (under ~120ms). Check out some of the ready-to-use models, they have simple API endpoints ready for you to start your own AI-powered applications. Ship custom model endpoints with fine-grained control over idle timeout, max concurrency, and autoscaling. Use common models such as Stable Diffusion, Background Removal, ControlNet, and more as APIs. These models are kept warm for free. (Don't pay for cold starts) Join the discussion around our product and help shape the future of AI. Automatically scale up to hundreds of GPUs and scale down back to 0 GPUs when idle. Pay by the second only when your code is running. You can start using fal on any Python project by just importing fal and wrapping existing functions with the decorator.Starting Price: $0.00111 per second -
12
Substrate
Substrate
Substrate is the platform for agentic AI. Elegant abstractions and high-performance components, optimized models, vector database, code interpreter, and model router. Substrate is the only compute engine designed to run multi-step AI workloads. Describe your task by connecting components and let Substrate run it as fast as possible. We analyze your workload as a directed acyclic graph and optimize the graph, for example, merging nodes that can be run in a batch. The Substrate inference engine automatically schedules your workflow graph with optimized parallelism, reducing the complexity of chaining multiple inference APIs. No more async programming, just connect nodes and let Substrate parallelize your workload. Our infrastructure guarantees your entire workload runs in the same cluster, often on the same machine. You won’t spend fractions of a second per task on unnecessary data roundtrips and cross-region HTTP transport.Starting Price: $30 per month -
13
NVIDIA NIM
NVIDIA
Explore the latest optimized AI models, connect AI agents to data with NVIDIA NeMo, and deploy anywhere with NVIDIA NIM microservices. NVIDIA NIM is a set of easy-to-use inference microservices that facilitate the deployment of foundation models across any cloud or data center, ensuring data security and streamlined AI integration. Additionally, NVIDIA AI provides access to the Deep Learning Institute (DLI), offering technical training to gain in-demand skills, hands-on experience, and expert knowledge in AI, data science, and accelerated computing. AI models generate responses and outputs based on complex algorithms and machine learning techniques, and those responses or outputs may be inaccurate, harmful, biased, or indecent. By testing this model, you assume the risk of any harm caused by any response or output of the model. Please do not upload any confidential information or personal data unless expressly permitted. Your use is logged for security purposes. -
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Synexa
Synexa
Synexa AI enables users to deploy AI models with a single line of code, offering a simple, fast, and stable solution. It supports various functionalities, including image and video generation, image restoration, image captioning, model fine-tuning, and speech generation. Synexa provides access to over 100 production-ready AI models, such as FLUX Pro, Ideogram v2, and Hunyuan Video, with new models added weekly and zero setup required. Synexa's optimized inference engine delivers up to 4x faster performance on diffusion models, achieving sub-second generation times with FLUX and other popular models. Developers can integrate AI capabilities in minutes using intuitive SDKs and comprehensive API documentation, with support for Python, JavaScript, and REST API. Synexa offers enterprise-grade GPU infrastructure with A100s and H100s across three continents, ensuring sub-100ms latency with smart routing and a 99.9% uptime guarantee.Starting Price: $0.0125 per image -
15
Feast
Tecton
Make your offline data available for real-time predictions without having to build custom pipelines. Ensure data consistency between offline training and online inference, eliminating train-serve skew. Standardize data engineering workflows under one consistent framework. Teams use Feast as the foundation of their internal ML platforms. Feast doesn’t require the deployment and management of dedicated infrastructure. Instead, it reuses existing infrastructure and spins up new resources when needed. You are not looking for a managed solution and are willing to manage and maintain your own implementation. You have engineers that are able to support the implementation and management of Feast. You want to run pipelines that transform raw data into features in a separate system and integrate with it. You have unique requirements and want to build on top of an open source solution. -
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Steamship
Steamship
Ship AI faster with managed, cloud-hosted AI packages. Full, built-in support for GPT-4. No API tokens are necessary. Build with our low code framework. Integrations with all major models are built-in. Deploy for an instant API. Scale and share without managing infrastructure. Turn prompts, prompt chains, and basic Python into a managed API. Turn a clever prompt into a published API you can share. Add logic and routing smarts with Python. Steamship connects to your favorite models and services so that you don't have to learn a new API for every provider. Steamship persists in model output in a standardized format. Consolidate training, inference, vector search, and endpoint hosting. Import, transcribe, or generate text. Run all the models you want on it. Query across the results with ShipQL. Packages are full-stack, cloud-hosted AI apps. Each instance you create provides an API and private data workspace. -
17
Second State
Second State
Fast, lightweight, portable, rust-powered, and OpenAI compatible. We work with cloud providers, especially edge cloud/CDN compute providers, to support microservices for web apps. Use cases include AI inference, database access, CRM, ecommerce, workflow management, and server-side rendering. We work with streaming frameworks and databases to support embedded serverless functions for data filtering and analytics. The serverless functions could be database UDFs. They could also be embedded in data ingest or query result streams. Take full advantage of the GPUs, write once, and run anywhere. Get started with the Llama 2 series of models on your own device in 5 minutes. Retrieval-argumented generation (RAG) is a very popular approach to building AI agents with external knowledge bases. Create an HTTP microservice for image classification. It runs YOLO and Mediapipe models at native GPU speed. -
18
SuperDuperDB
SuperDuperDB
Build and manage AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. A single scalable deployment of all your AI models and APIs which is automatically kept up-to-date as new data is processed immediately. No need to introduce an additional database and duplicate your data to use vector search and build on top of it. SuperDuperDB enables vector search in your existing database. Integrate and combine models from Sklearn, PyTorch, and HuggingFace with AI APIs such as OpenAI to build even the most complex AI applications and workflows. Deploy all your AI models to automatically compute outputs (inference) in your datastore in a single environment with simple Python commands. -
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UbiOps
UbiOps
UbiOps is an AI infrastructure platform that helps teams to quickly run their AI & ML workloads as reliable and secure microservices, without upending their existing workflows. Integrate UbiOps seamlessly into your data science workbench within minutes, and avoid the time-consuming burden of setting up and managing expensive cloud infrastructure. Whether you are a start-up looking to launch an AI product, or a data science team at a large organization. UbiOps will be there for you as a reliable backbone for any AI or ML service. Scale your AI workloads dynamically with usage without paying for idle time. Accelerate model training and inference with instant on-demand access to powerful GPUs enhanced with serverless, multi-cloud workload distribution. -
20
Outspeed
Outspeed
Outspeed provides networking and inference infrastructure to build fast, real-time voice and video AI apps. AI-powered speech recognition, natural language processing, and text-to-speech for intelligent voice assistants, automated transcription, and voice-controlled systems. Create interactive digital characters for virtual hosts, AI tutors, or customer service. Enable real-time animation and natural conversations for engaging digital interactions. Real-time visual AI for quality control, surveillance, touchless interactions, and medical imaging analysis. Process and analyze video streams and images with high speed and accuracy. AI-driven content generation for creating vast, detailed digital worlds efficiently. Ideal for game environments, architectural visualizations, and virtual reality experiences. Create custom multimodal AI solutions with Adapt's flexible SDK and infrastructure. Combine AI models, data sources, and interaction modes for innovative applications. -
21
Undrstnd
Undrstnd
Undrstnd Developers empowers developers and businesses to build AI-powered applications with just four lines of code. Experience incredibly fast AI inference times, up to 20 times faster than GPT-4 and other leading models. Our cost-effective AI services are designed to be up to 70 times cheaper than traditional providers like OpenAI. Upload your own datasets and train models in under a minute with our easy-to-use data source feature. Choose from a variety of open source Large Language Models (LLMs) to fit your specific needs, all backed by powerful, flexible APIs. Our platform offers a range of integration options to make it easy for developers to incorporate our AI-powered solutions into their applications, including RESTful APIs and SDKs for popular programming languages like Python, Java, and JavaScript. Whether you're building a web application, a mobile app, or an IoT device, our platform provides the tools and resources you need to integrate our AI-powered solutions seamlessly. -
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Beam Cloud
Beam Cloud
Beam is a serverless GPU platform designed for developers to deploy AI workloads with minimal configuration and rapid iteration. It enables running custom models with sub-second container starts and zero idle GPU costs, allowing users to bring their code while Beam manages the infrastructure. It supports launching containers in 200ms using a custom runc runtime, facilitating parallelization and concurrency by fanning out workloads to hundreds of containers. Beam offers a first-class developer experience with features like hot-reloading, webhooks, and scheduled jobs, and supports scale-to-zero workloads by default. It provides volume storage options, GPU support, including running on Beam's cloud with GPUs like 4090s and H100s or bringing your own, and Python-native deployment without the need for YAML or config files. -
23
Qualcomm AI Inference Suite
Qualcomm
The Qualcomm AI Inference Suite is a comprehensive software platform designed to streamline the deployment of AI models and applications across cloud and on-premises environments. It offers seamless one-click deployment, allowing users to easily integrate their own models, including generative AI, computer vision, and natural language processing, and build custom applications using common frameworks. The suite supports a wide range of AI use cases such as chatbots, AI agents, retrieval-augmented generation (RAG), summarization, image generation, real-time translation, transcription, and code development. Powered by Qualcomm Cloud AI accelerators, it ensures top performance and cost efficiency through embedded optimization techniques and state-of-the-art models. It is designed with high availability and strict data privacy in mind, ensuring that model inputs and outputs are not stored, thus providing enterprise-grade security.
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