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SiliconFlow

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Cloud AI infrastructure platform for high-speed inference, fine-tuning, and deployment of LLMs and multimodal models via simple APIs.

Site:https://www.siliconflow.com/
Adicionado em:13 de jul. de 2026
Visitantes mensais:
530.5K
Redes sociais e e-mail:
AI infrastructureLLM inferenceFine-tuningMultimodal modelsServerlessReserved GPUs
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Informações da ferramenta

O que é SiliconFlow?

SiliconFlow is a one-stop cloud AI infrastructure platform that lets developers run, fine-tune, and scale open-source and commercial large language models and multimodal models. It offers serverless inference, dedicated endpoints, fine-tuning, and reserved GPUs through simple APIs, with support for high-speed inference across text, image, video, and more.

Recursos principais

  • Serverless Inference

    Instantly call powerful models without infrastructure management; pay only for what you use, with automatic scaling for traffic spikes. Ideal for bursty workloads and prototyping.

  • Dedicated Endpoints

    Reserve compute for stable, high-volume production workloads with guaranteed resources, isolated infrastructure for security, and predictable pricing. Listed as coming soon.

  • Fine-tuning

    Customize models to fit data and domain in three managed steps: upload dataset via UI or API, configure and launch training, then monitor metrics and deploy to production.

  • Reserved GPUs

    Dedicated, always-on compute for consistent performance and mission-critical workloads, with capacity lock-in and cost savings versus on-demand pricing.

  • Unified Multimodal Model API

    One API for open and commercial LLMs and multimodal models supporting high-speed inference for text, image, video, and beyond, including models such as LongCat-2.0, DeepSeek-V4, Qwen, and GLM.

Casos de uso

  • #1

    Coding

    Code understanding, code generation, inline fixes, real-time autocomplete, structured edits, and syntax-safe suggestions.

  • #2

    Agent systems

    Multi-step reasoning, planning, tool-using, and executing workflows for complex tasks by agentic systems.

  • #3

    RAG

    Retrieving relevant information from knowledge bases to enable accurate, real-time responses.

  • #4

    Content generation

    Text, image, and video generation, social media content creation, and analytical report generation.

  • #5

    AI assistants

    Workflows, multi-agent systems, customer support bots, document review, and data analysis.

  • #6

    Search

    Query understanding, long-context summarization, real-time answers, personalized recommendations, and actionable insights delivery.

Melhor para:DevelopersStartupsEnterprises

Planos de preços

On-demand billing with pay-only-for-what-you-use and no upfront commitments or minimum spend; reserved GPUs for locked capacity and cost savings; model-specific per-million-token input/output pricing shown for many hosted models; contact sales for reserved options.

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Perguntas frequentes

What is SiliconFlow?
SiliconFlow is a cloud AI infrastructure platform that provides a one-stop solution for high-speed inference, fine-tuning, and deployment of open-source and commercial LLMs and multimodal models via simple APIs.
What features does SiliconFlow offer?
Key features include serverless inference for instant model calls with automatic scaling, fine-tuning in three managed steps, reserved GPUs for always-on compute, a unified multimodal model API, and dedicated endpoints (listed as coming soon).
How does SiliconFlow pricing work?
SiliconFlow uses paid on-demand billing where you pay only for what you use, with no upfront commitments or minimum spend. Reserved GPUs offer capacity lock-in and cost savings versus on-demand pricing. Model-specific per-million-token input/output rates are shown for many hosted models; contact sales for reserved options.
Who is SiliconFlow designed for?
SiliconFlow targets developers, startups, and enterprises, supporting production workloads, predictable usage patterns, variable workloads, and development environments.
What use cases does SiliconFlow support?
It supports coding (generation, autocomplete, fixes), agent systems (multi-step reasoning and tool use), RAG, content generation (text, image, video), AI assistants (bots, document review, data analysis), and search (query understanding, summarization, recommendations).
Are Dedicated Endpoints available now?
Dedicated Endpoints are listed as coming soon on the official source.

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Informações da ferramenta

Modelo de preçosPaid
CategoriaChatbots e LLM
Tags
AI infrastructureLLM inferenceFine-tuningMultimodal modelsServerlessReserved GPUs
IdiomaInglês
Última atualização16 de jul. de 2026
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