Perpetual ML
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LLM training100x faster machine learning with better confidence
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#artificial intelligence#predictive modeling#explainable ai#aml#continuous learning#uncertainty quantification#auto ml#automated machine learning#machine learning#analytics
Technical Specifications
Country
Turkey
Skill Level
Beginner
Release Year
2024
Status
Active
Pricing & Plans
Access Model
Official PricingPay-as-you-go
Compute
Shared CPU: $0.00014 per vCPU second, Usage: Training, batch inference, real team ML endpoints, Marimo notebook execution
Storage
Persistent Storage: $0.000069 per GB hour, Usage: ML model artifacts, logs, datasets
Network Egress
$0.10 per GB, Usage: Getting batch inference and real time inference results
Marketplace
1-9 Tasks: Free, 10-99 Tasks: $9.9 per task per month, 100+ Tasks: $0.9 per task per month
Custom Pricing
Contact for alternative pricing options
How to Master Perpetual ML
1
Sign Up
Create an account on the Perpetual ML platform.
2
Connect Data
Integrate your existing data infrastructure with Perpetual ML.
3
Train Models
Use Auto Train to automatically train your models with optimized algorithms.
4
Deploy and Monitor
Deploy your models for inference and monitor their performance and metrics.
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