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Nvidia RTX Spark Developer Preview 616.00

Developers can begin preparing their applications for Windows on Arm and RTX Spark today. You do not need RTX Spark hardware to get started-an existing Windows on Arm development system can be used to port your application, identify incompatible dependencies, and bring up an initial Arm64 build.

Recommended Steps

Review your application and third-party dependencies for Arm64 support.
Choose an Arm64 or Arm64EC porting strategy appropriate for your application.
Build and test your application on Windows on Arm.
Validate the NVIDIA and CUDA software paths used by your application.
Test installation, updates, functionality, and performance.
Validate on RTX Spark when supported hardware and software become available.

Known Issues

Reduced CUDA transfer performance with pageable memory
CUDA host-to-device transfers using pageable or unpinned host memory may deliver lower-than-expected performance.
Workaround: Where possible, use page-locked host memory allocated or registered with cudaMallocHost, cudaHostAlloc, or cudaHostRegister.
Temporary blank display during driver installation
The...

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