Google Cloud accelerates every organization’s ability to digitally transform its business and industry by delivering enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Based on our record, Google Cloud Platform seems to be a lot more popular than Apple Core ML. While we know about 170 links to Google Cloud Platform, we've tracked only 7 mentions of Apple Core ML. 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.
Assuming you have Google Cloud account and installed gcloud CLI. - Source: dev.to / about 1 month ago
In 2008, Google launched AppEngine. This product predates the formal existence of Google Cloud and can be considered Google Cloud's first offering. - Source: dev.to / about 1 month ago
In this article, you'll learn how to set up the NetBird CLI to ensure a secure connection to a Kubernetes cluster on the Google Cloud Platform (GCP), complete with a fail-safe route for uninterrupted access. - Source: dev.to / about 2 months ago
Try to utilize your AWS free tier as much as you can, you can also register a new account if you have exhausted the current one. Alternatively, you can use Google Cloud (GCP) to rent virtual machines from this cloud service provider - you can get $300 credit here or here (NOTE: Please read instructions carefully to get your credits). - Source: dev.to / 4 months ago
A VM is the original “hosting” product of the cloud era. Over the last 20 years, VM providers have come and gone, as have enterprise virtualization solutions such as VMware. Today you can do this somewhere like OVHcloud, Hetzner or DigitalOcean, which took over the “server” market from the early 2000’s. Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft's Azure also offer VMs, at a less... - Source: dev.to / 4 months ago
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 / 3 months ago
Apple has actually created ML chipsets, so AI can be executed natively, on-device. https://developer.apple.com/machine-learning/. - Source: Hacker News / 5 months ago
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: about 1 year ago
> 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 / about 1 year ago
This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: almost 3 years ago
Amazon AWS - Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.
TensorFlow Lite - Low-latency inference of on-device ML models
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.