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The Universal App Quick Start Program includes all the tools, resources, and support you need to build next-generation Universal apps, optimize apps built with Mac Catalyst, and test iPhone and iPad apps on an Apple Silicon Mac.
External Graphics Processors macOS includes support for external graphics processors (eGPUs) connected using Thunderbolt 3. External graphics processors can bring additional performance to your professional apps, 3D games, VR content creation pipelines, and more. Use Metal, OpenGL and OpenCL to integrate full support for eGPU into your app. The Developer Transition Kit is a prototype ARM-based Macintosh computer announced by Apple on June 22, 2020 as part of its initiative to transition its Macintosh personal computer product line away from Intel's x64 architecture to Apple Silicon.
What’s included in the program.
With exclusive access to a Mac Developer Transition Kit with Apple Silicon, a comprehensive set of resources, and one-on-one technical support, you’ll have everything you need to get your Universal apps ready before Apple Silicon Macs become available to customers.
Beta Software and Tools
Gain full access to the beta software and tools required to develop Universal apps for Apple Silicon Macs, including beta versions of Xcode and macOS.
Developer Transition Kit (DTK)
Get exclusive access to a Mac Developer Transition Kit with Apple Silicon for developing and testing your Universal apps.
Developer Labs
Learn how to take your apps to the next level with technical insights, best practices, and code-level guidance directly from Apple experts.
Private Forums
Ask questions and connect with Apple engineers and other members of the Universal App Quick Start Program.
Technical Support
Request code-level support from technical support engineers who can help troubleshoot your code. Three technical support incidents are included.
Development Resources
View videos and documentation, including API reference and articles, on developing and testing Universal apps.
Now accepting applications.
Submit a brief application for an opportunity to join the program. Selected developers will receive a link to order the Universal App Quick Start Program from the online Apple Store. Priority will be given to applicants with an existing macOS application, as availability is limited.
Apply now500 USD
To be eligible to apply, you must be an Account Holder of the Apple Developer Program and located in one of the following countries or regions:
- Australia
- Austria
- Belgium
- Canada
- China mainland
- Czech Republic
- Denmark
- Finland
- France
- Germany
- Hong Kong
- Hungary
- Ireland
- Italy
- Japan
- Luxembourg
- Mexico
- Netherlands
- New Zealand
- Norway
- Poland
- Portugal
- Puerto Rico
- Russia
- Singapore
- South Korea
- Spain
- Sweden
- Switzerland
- Taiwan
- United Kingdom
- United States
As part of the program, you’ll have limited access to a Developer Transition Kit (DTK), which will be shipped to you, for developing and testing your Universal apps. The DTK is owned by Apple and must be returned.
For full details, see the Universal App Quick Start Program terms and conditions.
Hi,
Apple Egpu Developer Kit For Macbook
I am interested in getting an external GPU to connect to my macbook pro so that I can train my keras models faster.
I am using tensorflow as a backend to keras, so I know that it requires a CUDA enabled GPU (so I would have to use a NVIDIA gpu).
Cuda compatible GPUs listed here: https://developer.nvidia.com/cuda-gpus
Has anyone tried to use their Nvidia (cuda enabled gpu) with High Sierra? Does it work with out any messing around?
Any recommendations on a starter (not too expensive) eGPU for this use case? Any employees at Apple in the ML team have any advice?
I am pretty new to machine learning and have never used an eGPU so would appreciate any advice, recommendations or corrections to my statements above.
I know that there are rental options offered by Amazon and Google, but would prefer to buy my own eGPU.
Official Apple Egpu Developer Kit For Mac
Thanks.
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Sincerely,
Egpu For Macbook Pro
Apple Egpu Support
Ajay