Скачать или смотреть ArrayFire 3.10: New Python Interface, Expanded Hardware Support & Performance Boosts Explained

ArrayFire 3.10 is here! This major update introduces a powerful new Python interface compliant with the Data API Standard, making it easier than ever to switch from NumPy and unlock GPU acceleration. Experience performance gains in scientific computing, signal processing, and deep learning.
ArrayFire 3.10 also expands hardware compatibility with support for CUDA 12.3-12.9, oneAPI 2025.2, and enhanced fp16 and int8 data types. This release prioritizes stability with improved numerical reliability, faster JIT compilation, and better error handling.
Learn how ArrayFire 3.10 unifies GPU and Python communities, simplifies code migration, and empowers developers to build high-performance applications across diverse hardware.
Key Features Covered:
New Python interface (Data API Standard compliant)
Performance benchmarks against other GPU-Python frameworks
Expanded hardware support (CUDA, oneAPI, CPU)
Enhanced fp16 and int8 data type support
Stability improvements and bug fixes
Real-world applications in aerospace, healthcare, finance, and research
Who is this video for?
Python developers looking to accelerate their code
Data scientists and researchers working with GPUs
Developers seeking cross-platform compatibility for GPU computing
Stay tuned for:
Code examples demonstrating the new Python interface
Performance comparisons with other libraries
Insights into ArrayFire's role in numerical computing