Skip to main content

Compress, Trace and Deploy Your Models with Iso!

Project description

Iso AI

Unlock the Value of GenAI with Iso!

Iso AI is an enterprise end-to-end solution designed to enable engineers to seamlessly experiment, evaluate, and deploy GenAI models on both cloud and edge, ensuring optimal performance, cost-efficiency, and security.

This repo contains our beta mode SDK that includes key features to help you get your models into production much easier.

Use this repo to compress your model regardless of model architecture, containerize your model easily and log your traces with ease.

We would love to get your feedback on this package so please leave behind any feedback you have!

Thank you for your support.

Future Features

Key Features:

  • Agentic AI Engineer: Quickly upskills engineers from AI novice to expert.
  • AI Code Generation: Create AI models tailored to your tech stack, data, and tasks.
  • Smart Versioning: Automatically save model details.
  • LLMOps for Data Validation: Monitor data quality with visual indicators and create synthetic data.
  • Shadow Deployment: Evaluate model performance at each checkpoint.
  • A/B Testing: Compare model performance through platform-based tests.
  • Adversarial AI: Conduct adversarial attacks to ensure robustness.
  • Cost Forecasting: Predict costs with detailed forecasts for compute, network, and waste.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

isoai-0.0.1.tar.gz (14.4 kB view details)

Uploaded Source

Built Distribution

isoai-0.0.1-py3-none-any.whl (18.8 kB view details)

Uploaded Python 3

File details

Details for the file isoai-0.0.1.tar.gz.

File metadata

  • Download URL: isoai-0.0.1.tar.gz
  • Upload date:
  • Size: 14.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.8.8

File hashes

Hashes for isoai-0.0.1.tar.gz
Algorithm Hash digest
SHA256 ba127e3f20d94dcc63cd6136a6df985de8c658aef7a91795149cec788bf3f0e0
MD5 d84ec471ea798508ab0cb952c6473b67
BLAKE2b-256 94f24639c8fa376ec03726541b904d55b663deba70cb210ea67f2faf4572b05e

See more details on using hashes here.

File details

Details for the file isoai-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: isoai-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 18.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.8.8

File hashes

Hashes for isoai-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d8ac5aac70edb1517b996e981841002a32af37cf103049e9a6cd4fdd9096fb11
MD5 01900fcd46adc03c4ce710459af8618c
BLAKE2b-256 122227344fa547ec76f8b75d9cbbeebc1cf1663ce0912ff11bf45eb763d0a994

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page