Software Alternatives & Reviews

Evidently AI VS Vast.ai

Compare Evidently AI VS Vast.ai and see what are their differences

Evidently AI logo Evidently AI

Open-source monitoring for machine learning models

Vast.ai logo Vast.ai

GPU Sharing Economy: One simple interface to find the best cloud GPU rentals.
  • Evidently AI Landing page
    Landing page //
    2023-08-19
  • Vast.ai Landing page
    Landing page //
    2023-10-08

Evidently AI videos

How to Monitor Machine Learning Models (Evidently AI)

Vast.ai videos

Using Vast.ai to set up a machine learning server

Category Popularity

0-100% (relative to Evidently AI and Vast.ai)
AI
100 100%
0% 0
Cloud Computing
0 0%
100% 100
Developer Tools
100 100%
0% 0
VPS
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Vast.ai seems to be a lot more popular than Evidently AI. While we know about 223 links to Vast.ai, we've tracked only 2 mentions of Evidently AI. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Evidently AI mentions (2)

  • [D] Using MLFlow for model performance tracking
    It is doable. However the main focus of MLFlow is in experiment tracking. I would suggest for you to look into another monitoring tools such evidentlyai . You can track more things than performance (e.g.data drift). Which may be helpful in a production setting. Source: over 1 year ago
  • Five Data Quality Tools You Should Know
    Evidently is an open-source Python library that analyzes and monitors machine learning models. It generates interactive reports based on Panda DataFrames and CSV files for troubleshooting models and checking data integrity. These reports show model health, data drift, target drift, data integrity, feature analysis, and performance by segment. - Source: dev.to / over 2 years ago

Vast.ai mentions (223)

  • Nvidia pursues $30B custom chip opportunity with new unit
    There are already ways to get around this. For example, renting compute from people who aren't in datacenters. Which is already a thing: https://vast.ai. - Source: Hacker News / 3 months ago
  • A SETI-like project to train LLM on libgen, scihub and the likes?
    By "SETI" I assume you mean the SETI@Home distributed computing project. There's a two-way market where you can rent out your GPU here: https://vast.ai/. - Source: Hacker News / 4 months ago
  • Ask HN: What's the best hardware to run small/medium models locally?
    - https://vast.ai/ (linked by gchadwick above). - Source: Hacker News / 5 months ago
  • Ask HN: What's the best hardware to run small/medium models locally?
    Have you considered running on a cloud machine instead? You can rent machines on https://vast.ai/ for under $1 an hour that should work for small/medium models (I've mostly been playing with stable diffusion so I don't know what you'd need for an LLM off hand). Good GPUs and Apple hardware is pricey. Get a bit of automation setup with some cloud storage (e.g backblaze B2) and you can have a machine ready to run... - Source: Hacker News / 5 months ago
  • Budget-friendly Cloud server to host OpenAI Whisper?
    I have heard vast.ai is cheap but I haven't tried it out. https://websiteinvesting.com/reviews/vast-ai-review/. Source: 5 months ago
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What are some alternatives?

When comparing Evidently AI and Vast.ai, you can also consider the following products

ML5.js - Friendly machine learning for the web

iExec - Blockchain-Based Decentralized Cloud Computing.

ML Showcase - A curated collection of machine learning projects

Amazon AWS - Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.

Lobe - Visual tool for building custom deep learning models

Golem - Golem is a global, open sourced, decentralized supercomputer that anyone can access.