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  • CloudBender
  • NVIDIA NGC Catalog Integration
  • Collaborative Projects for Resource Sharing
  • Customer Provided Job Environments
  • REST Endpoints for Inference
  • Automatic Dependency Installation
  • Consolidated Account Billing
  • Load Model Code Directly From Your Laptop
  • Start Training Models With One Line
  • RTX 3090 (BFGPU) Instances Now Available
  • Build Full Machine Learning Pipelines with trainML Inference Jobs
  • Store Training Results Directly on the trainML Platform
  • Dataset Viewing
  • Stay Modern with Python 3.8 Job Environments
  • Downloadable Log Extracts for Jobs and Datasets
  • Automate Training with the trainML Python SDK
  • trainML Jobs on Google Cloud Platform Instances
  • Spawn Training Jobs Directly From Notebooks
  • Easy Notebook Forking For Rapid Experimentation
  • Making Datasets More Flexible and Expanding Environment Options
  • Kaggle Datasets and API Integration
  • Centralized, Real-Time Training Job Worker Monitoring
  • Free to Use Public Datasets
  • Major UI Overhaul and Direct Notebook Access
  • Load Data Once, Reuse Infinitely
  • Serverless Deep Learning On Private Git Repositories
  • Google Cloud Storage Integration Released
  • Skip the Cloud Data Transfers with Local Storage
  • Web (HTTP/FTP) Data Downloads Plus Auto-Extraction of Archives

Stay Modern with Python 3.8 Job Environments

February 10, 2021

trainML

trainML

New job environments based on Python 3.8 are now available for all frameworks.

trainML Deep Learning, PyTorch, Tensorflow, and MXNet job environments have been released and optimized for Python 3.8, CUDA 11.1, and cuDNN 8.0.4. To use the new environments, expand the Environment section on the job form. Select 3.8 from the Python Version field. Select the desired framework from the Framework field, and the Framework Version field will show the supported framework versions.

All new framework version will be released in Python 3.8, and the existing versions in Python 3.7 will continue to be available. Python 3.6 environments have been deprecated.

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