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With AI, Everyone is a Dev. EveryDev.ai © 2026
    1. Home
    2. Developers
    3. Xorbits

    Xorbits

    Xinference (Xorbits Inference) is an Australian-owned AI inference company and open-source platform for deploying, serving, and integrating open-source language, speech, embedding, and multimodal models. Its commercial platform provides a unified OpenAI-compatible API, managed inference, and private/on-premises deployment so enterprises can control their data, models, infrastructure, and costs.

    Visit Website

    At a Glance

    1Tool Listed
    6Products
    10Capabilities
    Discussions
    Sydney, AustraliaHeadquarters
    2023Est.
    Focus Areas
    Local Inference
    AI Infrastructure
    Model Management
    Connect
    Latest News
    Published a guide on deploying Xinference as a self-hosted OpenAI API alternative.Oct 13, 2026
    Recap of The AI Summit Australia 2026 in Melbourne and Xinference's participation.Oct 1, 2026
    Markets
    • Financial services
    • Insurance
    • Healthcare
    • Government and public sector
    • +4 more

    AI Tools by Xorbits

    (1)
    View Xinference
    Xinference tool icon

    Xinference

    Open Source Model Serving API

    Local InferenceAI InfrastructureModel Management

    Discussions

    No discussions yet

    Be the first to start a discussion about Xorbits

    Latest News

    10/13/2026

    Published a guide on deploying Xinference as a self-hosted OpenAI API alternative.

    xinference.co
    10/01/2026

    Recap of The AI Summit Australia 2026 in Melbourne and Xinference's participation.

    xinference.co
    10/01/2026

    Recap of the AI & Data Governance Summit 2026, including a panel moderated by Paul Towers.

    xinference.co
    09/30/2026

    Announced an Asia-Pacific partnership with BioQuest Advisory for enterprise AI delivery.

    xinference.co

    Products & Services

    6
    Xorbits Inference (Xinference) Community
    2023

    Open-source model-serving library/platform for deploying and serving LLMs, speech-recognition, embedding, rerank, image, audio, video, and other multimodal models locally, in the cloud, or on premises.

    Xinference Enterprise

    Commercial edition for production teams: a control plane for model repositories, deployment, routing, GPU pooling, observability, governance, SSO, audit logs, and private deployment in a customer's cloud or data centre.

    Xinference Model API

    Hosted Australian-region API for 300+ open models through an OpenAI-compatible endpoint, billed per token and supporting streaming, function calling, structured output, embeddings, and vision models.

    Xinference Cloud / Dedicated Inference

    Managed dedicated GPU inference or deployment on the customer's own cloud, data centre, or fully offline infrastructure, using the same API and model catalogue.

    Market Position

    Xinference positions itself as a sovereign, open-model control plane between single-model servers and closed managed APIs: one OpenAI-compatible interface across 300+ models, engines, GPUs, clouds, and private infrastructure. It emphasizes Australian/in-customer data residency, portability and no lock-in, governance, and lower cost than closed APIs. The relevant alternatives include Ollama, vLLM, SGLang, NVIDIA NIM, Ray Serve, and BentoML; Xinference differentiates by combining broad model coverage, multi-engine serving, lifecycle operations, enterprise controls, and managed plus self-hosted deployment.

    Leadership

    Founders

    CQ

    Chris Qin (Qin Xuye)

    Founder and CEO of Xinference/XorbitsAI; former BDFL and core developer of the Mars open-source project, which he built at Alibaba Cloud to run pandas and NumPy workloads reliably at scale.

    Executive Team

    CQ

    Chris Qin (Qin Xuye)

    Founder and CEO

    Former BDFL and core developer of Mars; previously built scalable data-science infrastructure at Alibaba Cloud.

    Founding Story

    Chris Qin started Xinference in 2023 after repeatedly encountering the problem of making code that worked on one machine run reliably on a thousand. His experience building Mars at Alibaba Cloud led him to apply the same operational insight to open models: teams needed a simple way to deploy and manage models on their own hardware rather than deal with a fragmented inference stack or a closed provider's black box.

    Business Model

    Revenue Model

    Usage-based hosted Model API billing per token; managed dedicated GPU/cloud deployment priced by dedicated compute; enterprise/private deployment and support sold through contact-sales agreements; and a Xinference plus Xagent bundle priced for hosted users.

    Pricing Tiers

    Model API
    Per token; current rates and volume pricing by contact sales

    Hosted open models in Australia, including GLM 5.3, DeepSeek 4.1 Flash, and Kimi K3.

    Cloud deployment
    Contact sales

    Managed dedicated H200, H100, B200, A100, or RTX6000 Pro instances; volume discounts available.

    Private deployment
    Contact sales

    Customer cloud, data centre, or fully offline deployment with dedicated support.

    Xinference + Xagent bundle
    From $10,000/month for 500 users

    Hosted in Australia; private deployment plus the Xagent agent platform.

    No IPO or IPO plans were identified in the reviewed sources.

    Target Markets

    Industries & Segments
    • Financial services
    • Insurance
    • Healthcare
    • Government and public sector
    • Legal
    • Education and research
    Use Cases
    • Enterprise RAG and document search
    • Conversational AI and customer/internal helpdesks
    • Agents, function calling, and tool use
    • Coding assistance and IDE copilots
    • Summarization, extraction, document parsing, and meeting minutes
    • Financial-services investment research, compliance, KYC, and contact centres
    Notable Customers
    • Siemens
    • Yum! Brands
    • AIA
    • TFC OpticalComms

    Quick Facts

    Headquarters
    Sydney, Australia
    Founded
    2023
    Investors
    Glory Ventures
    Office Locations
    Sydney
    Singapore

    History & Milestones

    July 2, 2026

    Xinference announced a brand refresh and platform update.

    October 2026

    Xinference 4.0.0 became available with multi-engine Xavier, heterogeneous prefill/decode, and runtime model reconfiguration.

    2024

    Xinference was presented in the EMNLP 2024 system-demonstration paper, which reported less than 3.64% overhead against the raw inference engine for a single replica.

    2024

    The project expanded production capabilities including distributed inference, automatic batching, multi-engine support, and broader language, speech, embedding, and multimodal model coverage.

    2023

    Chris Qin founded Xinference to simplify reliable deployment and operation of open models; the open-source Xorbits Inference project was launched under the XorbitsAI organization.

    Key Capabilities

    10
    One OpenAI-compatible API and a two-line migration path from the OpenAI SDK
    300+ open models plus customer fine-tunes
    LLM, embedding, rerank, speech, image, video, and multimodal model serving
    Model repository/catalogue and rapid model deployment
    Automatic batching, distributed inference, heterogeneous compute, and GPU pooling
    Routing across models, engines, hardware, clouds, and on-premises infrastructure

    Integrations & Partnerships

    Platform Integrations

    • OpenAI-compatible REST API and OpenAI Python SDK
    • AWS Marketplace
    • Cloud deployment, customer cloud, customer data centre, and fully offline environments
    • Dify
    • LiteLLM
    • Docker
    • Xagent

    Key Partnerships

    BioQuest Advisory (Asia-Pacific enterprise AI delivery partnership)
    AWS Marketplace deployment and billing integration
    NVIDIA Inception program

    Connect

    Website
    xinference.co
    GitHub
    xorbitsai
    X / Twitter
    xorbitsio
    LinkedIn
    xprobe
    Discord
    Xw9tszSkr5

    AI Topics

    3

    Xorbits focuses on these topics:

    Local Inference(1)
    AI Infrastructure(1)
    Model Management(1)
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