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SaladCloud

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Distributed GPU cloud for low-cost AI/ML inference and container workloads

Веб-сайт:https://salad.com/
Добавлено:13 июл. 2026 г.
Посетители в месяц:
711.4K
Социальные сети и электронная почта:
distributed GPU cloudAI inferencemachine learningcontainer workloadslow-cost computeKubernetes

Информация об инструменте

Что такое SaladCloud?

SaladCloud is a distributed GPU cloud platform for low-cost AI/ML inference, batch processing, and container workloads on a community-powered global network. It enables secure, scalable deployment of AI/ML production models and GPU-heavy workloads on the world's largest distributed cloud, using community and datacenter GPUs to cut compute costs by up to 90% versus hyperscalers.

Основные функции

  • Salad Container Engine

    Fully managed and massively scalable container service for deploying workloads.

  • Community Cloud

    Flexible, cost-effective GPU access powered by a global network of earning nodes.

  • Secure Cloud

    Enterprise-grade datacenter GPUs for higher-security or performance needs.

  • Salad Gateway Service

    Dedicated proxies available in approximately 200 countries.

  • Salad Transcription API

    Speech-to-text API product for voice-related workloads.

  • Virtual Kubelets

    Deployment service that runs Kubernetes pods as container deployments.

  • Global distributed GPU network

    Access to 60,000+ daily active GPUs across 450,000+ worldwide earning nodes in 191 countries, with GPU starting prices from $0.02/hour.

  • On-demand elasticity and multi-cloud compatibility

    Supports inference at scale with GPU-driven processing, global edge network, optimized usage fees, and multi-cloud compatibility.

  • Container workloads on idle PCs

    Enables advanced computing projects to run in virtualized container environments on shared consumer PCs while keeping host systems secure.

Варианты использования

  • #1

    AI inference at scale

    Deploy and run production AI/ML models with high throughput and low cost on distributed GPUs.

  • #2

    Image generation (text-to-image)

    Generate more images per dollar using consumer and community GPUs for generative AI workloads.

  • #3

    Voice AI (text-to-speech and speech-to-text)

    Run voice synthesis and transcription workloads with up to 90% cost savings, including via the Salad Transcription API.

  • #4

    Computer vision

    Process vision models with significant cloud cost reductions (50% or more claimed).

  • #5

    Language models

    Host and scale language model inference and related batch jobs on low-cost GPUs.

  • #6

    Batch processing

    Execute massive batch jobs with minimal spend on the distributed network.

  • #7

    Molecular dynamics

    Scale molecular dynamics simulations easily across thousands of low-cost GPUs.

  • #8

    ZK proof generation

    Run zero-knowledge proof workloads with substantial cost savings versus traditional clouds.

  • #9

    Data collection

    Collect data using thousands of residential IPs for better coverage and lower cost.

Лучше всего для:AI/ML developers and engineers deploying production modelsStartups and companies seeking lower GPU cloud costsTeams running inference, batch, vision, voice, or generative AI workloadsOrganizations needing elastic access to large numbers of GPUsPC owners and gamers (Salad Chefs) who share idle hardware to earn rewards

Тарифные планы

Usage-based GPU cloud pricing starting at $0.02/hour; claims of up to 90% savings versus hyperscalers and datacenter GPUs. High-volume, long-running jobs, and committed contracts can receive discounted pricing via sales. Consumer PC-sharing side earns rewards (gift cards, game credit, PayPal balance) rather than charging users.

Альтернативы

Часто задаваемые вопросы

What is SaladCloud?
SaladCloud is a distributed GPU cloud platform for low-cost AI/ML inference, batch processing, and container workloads on a community-powered global network of 60,000+ daily active GPUs.
How does SaladCloud pricing work?
It uses usage-based GPU cloud pricing starting at $0.02/hour and claims up to 90% savings versus hyperscalers. Discounted pricing for high-volume, long-running jobs, and committed contracts is available via sales. Resource providers (Salad Chefs) earn rewards instead of paying.
What compute services does SaladCloud offer?
Core services include the Salad Container Engine for managed scalable containers, Community Cloud for cost-effective GPUs, Secure Cloud for enterprise-grade datacenter GPUs, Salad Gateway Service with proxies in about 200 countries, the Salad Transcription API, and Virtual Kubelets for Kubernetes pods.
What are typical use cases for SaladCloud?
Common uses include AI inference at scale, text-to-image generation, voice AI (text-to-speech and speech-to-text), computer vision, language models, batch processing, molecular dynamics, ZK proof generation, and data collection.
Does SaladCloud support Kubernetes?
Yes. Virtual Kubelets let you run Kubernetes pods as container deployments on the SaladCloud network.
Are storage services available?
Distributed File Storage, Object Storage, and Managed Databases are listed as coming soon and are not yet available according to the official source.

SaladCloud Контакты и социальные сети

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Модель оплатыPaid
КатегорияДругое
Теги
distributed GPU cloudAI inferencemachine learningcontainer workloadslow-cost computeKubernetes
Языканглийский
Последнее обновление16 июл. 2026 г.