![]() For the best experience, use the TV app on a device like Apple TV 4K. This shows you all of the Apple TV+ shows and movies available to watch, separated into categories like comedy, drama and family fun.īe aware, the web experience at tv. is a bit barebonds compared to the native TV app on devices, and it only shows Apple original content. This tab takes you to the Apple TV+ channel page. (On some platforms, this tab is simply labelled using the ‘tv+’ logo.) The easiest way to get started with Apple TV+ is to open the Apple TV app on your device, and tap on the Originals tab. The Watch Now screen does not really distinguish between content that you own and can watch, and just Apple’s general recommendations. The TV app is the exclusive destination for Apple TV+, but the TV app is a little confusing because it blends together purchasable TV shows and movies from the iTunes Store, which you can buy or rent, content from other apps like Amazon Prime and Disney+, and Apple TV Channels. Apple is adding new content every single month. The TV app is also available on other platforms like Amazon Fire TV, Roku, Sony PlayStation, Xbox, and even the web at tv.Īpple TV+ offers original comedies, dramas, thrillers, documentaries, and kids shows.įor your $6.99/month subscription, you can watch all of Apple’s originals - as listed below. You can watch on your Apple TV set-top box, iPhone, or iPad as you might expect.īut you don’t need the latest Apple TV 4K to enjoy Apple TV+. Here’s every Apple original television show and movie available now on Apple TV+, as well as the latest trailers …Īpple TV+ content is available exclusively through the Apple TV app. You can watch across all of your screens and pick up where you left off on any device. Performance tests are conducted using specific computer systems and reflect the approximate performance of Mac Studio.Apple TV+ offers exclusive Apple original TV shows and movies in 4K HDR quality. Tested with macOS Monterey 12.3, prerelease PyTorch 1.12, ResNet50 (batch size=128), HuggingFace BERT (batch size=64), and VGG16 (batch size=64). * Testing conducted by Apple in April 2022 using production Mac Studio systems with Apple M1 Ultra, 20-core CPU, 64-core GPU 128GB of RAM, and 2TB SSD. You can also learn more about Metal and MPS on Apple’s Metal page. To get started, just install the latest Preview (Nightly) build on your Apple silicon Mac running macOS 12.3 or later with a native version (arm64) of Python. In the graphs below, you can see the performance speedup from accelerated GPU training and evaluation compared to the CPU baseline:Īccelerated GPU training and evaluation speedups over CPU-only (times faster) ![]() The Unified Memory architecture also reduces data retrieval latency, improving end-to-end performance. This reduces costs associated with cloud-based development or the need for additional local GPUs. This makes Mac a great platform for machine learning, enabling users to train larger networks or batch sizes locally. Training Benefits on Apple SiliconĮvery Apple silicon Mac has a unified memory architecture, providing the GPU with direct access to the full memory store. The new device maps machine learning computational graphs and primitives on the MPS Graph framework and tuned kernels provided by MPS. MPS optimizes compute performance with kernels that are fine-tuned for the unique characteristics of each Metal GPU family. ![]() The MPS backend extends the PyTorch framework, providing scripts and capabilities to set up and run operations on Mac. This unlocks the ability to perform machine learning workflows like prototyping and fine-tuning locally, right on Mac.Īccelerated GPU training is enabled using Apple’s Metal Performance Shaders (MPS) as a backend for PyTorch. Until now, PyTorch training on Mac only leveraged the CPU, but with the upcoming PyTorch v1.12 release, developers and researchers can take advantage of Apple silicon GPUs for significantly faster model training. ![]() In collaboration with the Metal engineering team at Apple, we are excited to announce support for GPU-accelerated PyTorch training on Mac.
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