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inference-net

At Inference.net, we provide developers and enterprises with access to top-performing large language models (LLMs) through our efficient and cost-effective inference platform. Our offerings include:

Available Models

  • DeepSeek R1: An open-source, first-generation reasoning model leveraging large-scale reinforcement learning to achieve state-of-the-art performance in math, code, and reasoning tasks. Learn more

  • DeepSeek V3: A 671-billion-parameter Mixture-of-Experts (MoE) language model optimized for efficiency and performance, demonstrating superior results across various benchmarks. Learn more

  • Llama 3.1 70B Instruct: A 70-billion-parameter multilingual instruction-tuned language model designed for dialogue use, capable of handling text and code across multiple languages. Learn more

  • Llama 3.1 8B Instruct: An 8-billion-parameter version of the Llama 3.1 series, optimized for dialogue and capable of handling text and code across multiple languages. Learn more

  • Llama 3.2 11B Vision Instruct: A state-of-the-art multimodal language model optimized for image recognition, reasoning, and captioning, surpassing both open and closed models in industry benchmarks. Learn more

  • Mistral Nemo 12B Instruct: A 12-billion-parameter multilingual large language model designed for English-language chat applications, featuring impressive multilingual and code comprehension, with customization options via NVIDIA's NeMo Framework. Learn more

Key Features

  • Real-Time Chat: Utilize our serverless inference APIs to build AI applications with industry-leading latency and throughput, powered by our optimized GPU infrastructure. Learn more

  • Batch Inference: Process large-scale asynchronous AI workloads efficiently with our specialized batch processing capabilities. Learn more

  • Data Extraction: Transform unstructured data into actionable insights with powerful schema validation and parsing, ensuring precise extraction and flexible processing. Learn more

Why Choose Inference.net?

  • Unbeatable Pricing: Save up to 90% on AI inference costs compared to legacy providers. Only pay for what you use, with no hidden fees.

  • Easy Integration: Our APIs are OpenAI-compatible, allowing you to switch in under two minutes with a simple code change. We provide first-class support for popular LLM frameworks like LangChain and LlamaIndex.

  • Scalability: Our platform is designed to scale effortlessly from zero to billions of requests, ensuring reliable performance at any scale.

Get Started

Deploy in under five minutes and immediately start saving on your inference bill. Get Started.

Docs

You can find out docs here.

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© 2025 Use Context, Inc. All Rights Reserved

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  1. autodoc autodoc Public

    Experimental toolkit for auto-generating codebase documentation using LLMs

    TypeScript 2.3k 151

  2. mactop mactop Public

    mactop - Apple Silicon Monitor Top

    Go 2.2k 52

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Showing 10 of 65 repositories
  • mactop Public

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    context-labs/mactop’s past year of commit activity
    Go 2,168 MIT 52 5 2 Updated Dec 6, 2025
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    Library for converting different provider req/res formats

    context-labs/provider-conversions’s past year of commit activity
    TypeScript 0 MIT 0 0 0 Updated Nov 26, 2025
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    Evals for Next.js up to 15.5.6 to test AI model competency at Next.js

    context-labs/next-evals-oss’s past year of commit activity
    TypeScript 0 MIT 18 0 0 Updated Nov 24, 2025
  • otel-cf-workers Public Forked from evanderkoogh/otel-cf-workers

    An OpenTelemetry compatible library for instrumenting and exporting traces for Cloudflare Workers

    context-labs/otel-cf-workers’s past year of commit activity
    TypeScript 0 BSD-3-Clause 81 0 0 Updated Nov 21, 2025
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    A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.

    context-labs/gateway’s past year of commit activity
    TypeScript 0 MIT 821 0 0 Updated Nov 20, 2025
  • prime-rl Public Forked from PrimeIntellect-ai/prime-rl

    Forked Async RL Training at Scale

    context-labs/prime-rl’s past year of commit activity
    Python 0 Apache-2.0 149 0 0 Updated Nov 14, 2025
  • aella-data-explorer Public

    LAION research paper dataset visual explorer 🔬 🧑‍🔬 👩‍🔬

    context-labs/aella-data-explorer’s past year of commit activity
    TypeScript 611 MIT 97 1 0 Updated Nov 11, 2025
  • inference-staking Public

    Inference.net core staking protocol.

    context-labs/inference-staking’s past year of commit activity
    TypeScript 7 0 0 1 Updated Nov 10, 2025
  • logic Public

    LOGIC is an open source method for LLM inference verification

    context-labs/logic’s past year of commit activity
    Python 8 MIT 0 0 0 Updated Nov 6, 2025
  • schematron-demo Public

    A demo that compares the Schematron models to Gemini 2.5 Flash

    context-labs/schematron-demo’s past year of commit activity
    TypeScript 0 0 0 0 Updated Oct 20, 2025

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