Ultimate Инфраструктура машинного обучения Solutions for Everyone

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Инфраструктура машинного обучения

  • Modal is a high-performance serverless cloud platform for developers.
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    What is Modal?
    Modal is a next-generation serverless platform designed for AI, data science, and machine learning teams. It facilitates the running of generative AI models, large-scale batch jobs, job queues, and much more. With Modal, developers can bring their own code, run it in the cloud without concerning themselves with infrastructure, and scale production workloads efficiently using thousands of CPUs and GPUs. Modal provides an effortless setup and integration for a high-performance computational environment, helping teams to innovate and develop faster with lower costs.
    Modal Core Features
    • Serverless environment
    • Generative AI model support
    • Batch job processing
    • Job queues
    • Scalable compute resources
    Modal Pro & Cons

    The Cons

    No explicit open source repository found, limiting transparency and customization.
    No direct mobile app presence on Google Play or Apple App Store.
    Lack of explicit pricing granularity on the homepage may require deeper investigation.
    Community engagement primarily through Slack rather than more popular platforms like Discord or Telegram.

    The Pros

    Seamless autoscaling for ML inference and compute jobs without managing infrastructure.
    Supports high-performance GPUs such as NVIDIA A100, H100 enabling powerful compute capabilities.
    Flexible environment with support for custom Docker images or Python-based builds.
    Built-in job scheduling, data storage, web endpoint deployment, and debugging tools.
    Serverless pricing model paying only for compute actually consumed.
    Extensive documentation and example projects facilitate ease of use.
    Free tier with $30 of compute credits per month.
    Support for real-time and batch processing workloads.
    Modal Pricing
    Has free planYES
    Free trial details$30 / month free credits
    Pricing modelPay-as-you-go
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequencyPer second

    Details of Pricing Plan

    Starter

    0 USD
    • $30 / month free credits
    • 3 workspace seats included
    • 100 containers + 10 GPU concurrency
    • Crons and web endpoints (limited)
    • Real-time metrics and logs
    • Region selection

    Team

    250 USD
    • $100 / month free credits
    • Unlimited seats
    • 1000 containers + 50 GPU concurrency
    • Unlimited crons and web endpoints
    • Custom domains
    • Static IP proxy
    • Deployment rollbacks

    Enterprise

    Custom USD
    • Volume-based pricing
    • Unlimited seats
    • Custom GPU concurrency
    • Support via private Slack
    • Personalized integration help
    • Audit logs, Okta SSO, and HIPAA
    For the latest prices, please visit: https://modal.com/pricing
  • Unified DevOps platform for LLM applications.
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    What is Keywords AI?
    Keywords AI is a comprehensive DevOps platform designed specifically for building, deploying, and monitoring large language model (LLM) applications. With only two lines of code, developers can easily integrate the platform to speed up the production process. Keywords AI optimizes performance by connecting your prompts to the best available models and providing insightful analytics. The platform also includes tools for dataset collection, fine-tuning models, and incident management to ensure high availability and optimized performance for all your AI products.
  • The cheapest way to self-host AI/ML with GPU cloud.
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    What is Thunder Compute?
    Thunder Compute provides a cost-effective GPU cloud platform enabling users to self-host AI/ML workloads. Utilizing virtualized GPUs hosted on AWS/GCP, it significantly reduces expenses by 80%. Perfect for AI/ML development, prototyping, and inference, Thunder Compute's quick setup and powerful hardware ensure users can execute their tasks efficiently and affordably.
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