Software Alternatives & Reviews
Register | Login
ACM

Apple Core ML VS Banana.dev

Compare Apple Core ML VS Banana.dev and see what are their differences

Docubee
Intelligent Contract Automation featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Apple Core ML logo Apple Core ML

Integrate a broad variety of ML model types into your app

Banana.dev logo Banana.dev

Banana provides inference hosting for ML models in three easy steps and a single line of code.
  • Apple Core ML Landing page
    Landing page //
    2023-06-13
  • Banana.dev Landing page
    Landing page //
    2023-07-25

Apple Core ML videos

+ Add

IBM Watson & Apple Core ML Collaboration - What it means for app development

Banana.dev videos

No Banana.dev videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Apple Core ML and Banana.dev)

Apple Core ML

Banana.dev

Developer Tools
71 71%
Developer Tools
29% 29
AI
61 61%
AI
39% 39
Data Science And Machine Learning
39 39%
Data Science And Machine Learning
61% 61
APIs
75 75%
APIs
25% 25

User comments

Share your experience with using Apple Core ML and Banana.dev. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Banana.dev should be more popular than Apple Core ML. It has been mentiond 13 times since March 2021. 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.

Apple Core ML mentions (7)

  • Ask HN: Where is Apple? They seem to be left out of the AI race?
    On the machine learning side of AI, they have CoreML. You can drag-and-drop images into Xcode to train an image classifier. And run the models on device, so if solar flares destroy the cell phone network and terrorists bomb all the data centers, your phone could still tell you if it's a hot dog or not. https://developer.apple.com/machine-learning/ https://developer.apple.com/machine-learning/core-ml/... - Source: Hacker News / 2 months ago
  • The Magnitude of the AI Bubble
    Apple has actually created ML chipsets, so AI can be executed natively, on-device. https://developer.apple.com/machine-learning/. - Source: Hacker News / 4 months ago
  • Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]
    For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: 12 months ago
  • Apple to occupy 90% of TSMC 3nm capacity in 2023
    > It’d be one thing if Apple actually worked on AI softwares a bit and made it readily available to developers. * Apple Silicon CPUs have a Neural Engine specifically made for fast ML-inference * Apple supports PyTorch (https://developer.apple.com/metal/pytorch/) * Apple has its own easily accessible machine-learning framework called Core-ML (https://developer.apple.com/machine-learning/) So it would be inaccurate... - Source: Hacker News / 12 months ago
  • The iPhone 13 is a pitch-perfect iPhone 12S
    This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: over 2 years ago
View more

Banana.dev mentions (13)

  • Ask HN: How does deploying a fine-tuned model work
    For the inference part, you can dockerise your model and use https://banana.dev for serverless GPU. They have examples on github on how to deploy and I’ve done it last year and was pretty straightforward. - Source: Hacker News / 13 days ago
  • Authenticating requests sent to backend with middleware
    I want to first check the user's ID and only if the user has an active subscription then the request will be forwarded to my API on banana.dev else the request will be blocked at the middleware itself. Should I use Express JS for the middleware i.e. Authentication and forwarding requests? Is there any other better way to improve my project structure? Currently it looks like:. Source: 6 months ago
  • Ask HN: What do you use for ML Hosting
    Hey! Would love to have you try https://banana.dev (bias: I'm one of the founders). We run A100s for you and scale 0->1->n->0 on demand, so you only pay for what you use. I'm at erik@banana.dev if you want any help with it :). - Source: Hacker News / about 1 year ago
  • Set up serverless GPU
    CAN you do this in AWS? Of course, do they have a service that does exactly what this banana.dev does? Probably not. Source: about 1 year ago
  • Serverless GPU like banana.dev on AWS
    I've been using banana.dev for easily running my ML models on GPU in a serverless manner, and interacting with them as an API. Although the principle of the service is sound, it is currently too buggy to take into production (very long cold boots, errorring requests, always hitting capacity). Source: about 1 year ago
View more

What are some alternatives?

When comparing Apple Core ML and Banana.dev, you can also consider the following products

Amazon Machine Learning - Machine learning made easy for developers of any skill level

GPU.LAND - Cloud GPUs for Deep Learning — for ⅓ the price!

TensorFlow Lite - Low-latency inference of on-device ML models

Clever Grid - Easy to use and fairly priced GPUs for Machine Learning

Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.

mlblocks - A no-code Machine Learning solution. Made by teenagers.

Loading...