Best AI Inference Platforms - Page 6

CentML accelerates Machine Learning workloads by optimizing models to utilize hardware accelerators, like GPUs or TPUs, more efficiently and without affecting model accuracy. Our technology boosts training and inference speed, lowers compute costs, increases your AI-powered product margins, and boosts your engineering team's productivity. Software is no better than the team who built it. Our team is stacked with world-class machine learning and system researchers and engineers. Focus on your AI products and let our technology take care of optimum performance and lower cost for you.

We’ve built the fastest AI accelerator, based on the largest processor in the industry, and made it easy to use. With Cerebras, blazing fast training, ultra low latency inference, and record-breaking time-to-solution enable you to achieve your most ambitious AI goals. How ambitious? We make it not just possible, but easy to continuously train language models with billions or even trillions of parameters – with near-perfect scaling from a single CS-2 system to massive Cerebras Wafer-Scale Clusters such as Andromeda, one of the largest AI supercomputers ever built.

An intuitive desktop application designed to effortlessly deploy and self-host open-source AI models without exposing sensitive data to third-party. Seamlessly implement machine learning models with the user-friendly interface of OpenAI's API. Bypass the complexities of inference optimizations. Prem's got you covered. Develop, test, and deploy your models in just minutes. Dive into our rich resources and learn how to make the most of Prem. Make payments with Bitcoin and Cryptocurrency. It's a permissionless infrastructure, designed for you. Your keys, your models, we ensure end-to-end encryption.

Nexa AI enables developers and consumers to run state-of-the-art AI models locally on CPUs, GPUs, and NPUs, removing the reliance on cloud infrastructure. Its flagship Nexa SDK allows developers to deploy any AI model across devices in minutes, supporting compression for efficiency and acceleration on NPUs. For consumers, Hyperlink acts as a private offline AI agent that can search local files, provide insights, and ensure complete data privacy. Nexa’s technology emphasizes three pillars: absolute privacy, predictable cost with pay-per-device licensing, and offline reliability for use in secure or disconnected environments. Proprietary innovations like the NexaML Engine ensure performance optimization across hardware, from PCs to IoT devices. By combining flexibility, security, and speed, Nexa AI brings modern AI capabilities directly to the edge.

Active Inference is a novel framework for agentic AI based on world models, emerging from over 30 years of research in computational neuroscience. From this paradigm, we offer an AI built for power and computational efficiency, designed to live on-device and on the edge. Integrating with traditional computer vision stacks our intelligent decision-making systems provide an explainable output that allows organizations to build accountability into their AI tools and products. We are taking active inference from neuroscience into AI as the foundation for software that will allow robots and embodied platforms to make autonomous decisions like the human brain.

Atlas Cloud is a full-modal AI inference platform built for developers who want to run every type of AI model through a single API. It supports chat, reasoning, image, audio, and video inference without requiring multiple providers. Developers can discover, test, and scale over 300 production-ready models from leading AI ecosystems in one unified workspace. Atlas Cloud simplifies experimentation with an interactive playground and one-click model customization. Its infrastructure is designed for high performance, low latency, and production stability at scale. With serverless access, agent solutions, and GPU cloud options, it adapts to different development and deployment needs. Atlas Cloud helps teams build and ship AI-powered applications faster and more efficiently.

Intel’s Gaudi software gives developers access to a comprehensive set of tools, libraries, containers, model references, and documentation that support creation, migration, optimization, and deployment of AI models on Intel® Gaudi® accelerators. It helps streamline every stage of AI development including training, fine-tuning, debugging, profiling, and performance optimization for generative AI (GenAI) and large language models (LLMs) on Gaudi hardware, whether in data centers or cloud environments. It includes up-to-date documentation with code samples, best practices, API references, and guides for efficient use of Gaudi solutions such as Gaudi 2 and Gaudi 3, and it integrates with popular frameworks and tools to support model portability and scalability. Users can access performance data to review training and inference benchmarks, utilize community and support resources, and take advantage of containers and libraries tailored to high-performance AI workloads.

Geodd is an experienced AI inference operator providing serverless inference, dedicated inference and dedicated GPU infrastructure for production AI workloads. Through DeployPad, customers can deploy supported models, manage inference services and access Geodd’s infrastructure through a single platform. Geodd’s physical datacenter infrastructure and technical capabilities span GPU operations, model deployment, runtime engineering and AI driven optimization. Its autonomous AI agents use hardware specific LLMs trained by the company to develop verified optimizations that improve model efficiency, consistency and reliability from the underlying infrastructure through to model execution.

Scalattice is a managed inference API and distributed GPU network for developers running open models and GPU owners providing compute. Developers submit chat-completion and image-generation requests through OpenAI-compatible endpoints, choose catalog models, and manage API keys, credits, usage, model access, and regional policies through Scalattice Cloud or its command-line interface. Requests run on provider machines, and the service tracks usage and distributes provider payouts. GPU providers install the Scalattice agent on compatible Windows, Linux, or Apple Silicon macOS computers, set availability, and monitor jobs and earnings. The service is intended for application developers, AI builders, and GPU operators seeking hosted inference capacity or a way to contribute compute. Model availability and prices depend on the catalog and available capacity.

Select a model, and we'll handle the deployment, hosting, versioning and tuning then give you an inference endpoint.

NevTan Cloud is an AI-native cloud platform that combines AI inference, application hosting, managed databases, object storage, and infrastructure services into a single developer environment. The platform provides an OpenAI-compatible API for more than 200 AI models while allowing developers to deploy applications, manage databases, and store data from one unified console. NevTan supports modern frameworks such as Next.js, Django, Rails, FastAPI, Go, and containerized applications with Git-based deployment workflows. Built-in observability, monitoring, and centralized billing help teams manage applications, infrastructure, and AI workloads without juggling multiple cloud providers. Developers can deploy managed PostgreSQL databases with pgvector, S3-compatible object storage, and scalable inference services using a single identity and API key.

Xinference is a self-serve Model API for Kimi K3 and DeepSeek, hosted in Australia on dedicated GPUs. Developers and teams call both models through one OpenAI-compatible API, at the same per-token price as the model vendor. Switching from another OpenAI-compatible provider means changing the base URL and API key. No prompt or response content kept by default, and no training on your data. Don't see the model you need? Talk to us about adding it. For teams that need models in their own environment, Xinference Dedicated Inference runs open models in your VPC, data centre or servers. Xinference is in the process of becoming SOC 2 and ISO 27001 compliant.

Hyperbolic is an open-access AI cloud platform dedicated to democratizing artificial intelligence by providing affordable and scalable GPU resources and AI services. By uniting global compute power, Hyperbolic enables companies, researchers, data centers, and individuals to access and monetize GPU resources at a fraction of the cost offered by traditional cloud providers. Their mission is to foster a collaborative AI ecosystem where innovation thrives without the constraints of high computational expenses.

Powerful, self-serve machine learning platform where you can turn models into scalable APIs in just a few clicks. Sign up for Deep Infra account using GitHub or log in using GitHub. Choose among hundreds of the most popular ML models. Use a simple rest API to call your model. Deploy models to production faster and cheaper with our serverless GPUs than developing the infrastructure yourself. We have different pricing models depending on the model used. Some of our language models offer per-token pricing. Most other models are billed for inference execution time. With this pricing model, you only pay for what you use. There are no long-term contracts or upfront costs, and you can easily scale up and down as your business needs change. All models run on A100 GPUs, optimized for inference performance and low latency. Our system will automatically scale the model based on your needs.