Comprehensive 易用的機器學習 Tools for Every Need

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易用的機器學習

  • Qwak automates data preparation and model creation for machine learning.
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    What is Qwak?
    Qwak is an innovative AI Agent designed to simplify machine learning workflows. It automates key tasks such as data preparation, feature engineering, model selection, and deployment. By leveraging cutting-edge algorithms and a user-friendly interface, Qwak empowers users to build, evaluate, and optimize machine learning models without requiring extensive coding skills. This platform is ideal for data scientists, analysts, and businesses looking to harness AI technology quickly and effectively.
    Qwak Core Features
    • Data Preparation
    • Model Creation
    • Automated Deployments
    • Performance Evaluation
    • Collaboration Tools
    Qwak Pro & Cons

    The Cons

    No explicit mention of mobile or desktop applications.
    No dedicated community platforms such as Discord or Telegram found.
    Detailed pricing information not visible on the main website; requires further inquiry.
    Potentially complex for very small teams due to broad feature set.

    The Pros

    Comprehensive all-in-one platform covering MLOps, LLMOps, and Feature Store.
    Supports collaboration across multiple roles involved in AI projects.
    Easy one-click training and deployment on both GPU and CPU.
    Real-time model monitoring with anomaly detection and integrations for alerts.
    Supports both batch and streaming model serving for flexible deployment.
    Optimized deployment for popular open-source LLM models like Llama 3 and Mistral 7b.
    Feature Store integrates data lifecycle management and vector store for embeddings.
    Qwak Pricing
    Has free planNo
    Free trial details
    Pricing modelPaid
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequencyMonthly

    Details of Pricing Plan

    Pro

    150 USD
    • 25 GB Base Consumption
    • Community Support
    • Universal Binary Repository
    • Release Lifecycle Management
    • Unlimited Docker Hub Pulls
    • Complete Container Registry
    • Cloud-native Managed Platform

    Enterprise X

    950 USD
    • 125 GB + 1000 ML Credits Base Consumption
    • SLA Support | 99.9% Uptime
    • Advanced Security
    • Package Curation & Catalog
    • Globally Federated Repositories
    • Enterprise Access Control (SSO)
    • Enhanced SCA & Model Security
    • AI/ML Lifecycle Management
    • AI/ML Serving
    • One Platform Experience with GitHub

    Enterprise +

    0 USD
    • Custom Consumption
    • High Touch Support
    • Strategic Multi-year Contracts
    • Global Access Federation
    • Software Distribution
    • Distributed Edge Nodes
    • Advanced Traffic Management
    • Third Party Evidence Collection
    • Multi-cloud and Shadow AI/ML Deployments
    • Streaming Feature Store for ML

    Pro X

    27000 USD
    • 1 Server
    • SLA Support
    • Universal Binary Repository
    • Release Lifecycle Management
    • Enhanced SCA & Model Security
    • Complete Container Registry

    Enterprise X (Yearly)

    48000 USD
    • 3 Servers
    • SLA Support
    • High Availability
    • Globally Federated Repositories
    • Enterprise Access Control (SSO)
    • AI/ML Lifecycle Management
    • AI/ML Serving
    • One Platform Experience with GitHub

    Enterprise + (Yearly)

    0 USD
    • 6 Servers
    • 24/7 High Touch Support
    • Global Access Federation
    • Software Distribution
    • Distributed Edge Nodes
    • Private CDN
    • Third Party Evidence Collection
    • Multi-cloud and Shadow AI/ML Deployments
    • Streaming Feature Store for ML
    For the latest prices, please visit: https://www.qwak.com/pricing
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