Lumina AI Announces PrismRCL 2.7.1 with Native macOS and ARM Support

No need for GPU; run machine learning across Windows, Linux, and macOS, now including Apple Silicon and other ARM CPUs.

Lumina AI announced PrismRCL™ 2.7.1, an update to its CPU-optimized machine-learning engine that expands platform coverage and speeds up model setup for large datasets. Version 2.7.1 introduces native macOS support on Intel and Apple Silicon, adds ARM processor support on Windows and Linux, and delivers performance improvements when auto-optimizing on large tabular data.

“With version 2.7.1, we’re empowering teams to build and deploy high-accuracy machine learning models seamlessly across platforms —including low-power ARM edge and IoT devices. By integrating native support for the platforms where most AI workloads run, we make efficient model training and real-time inference possible everywhere—from the cloud to embedded environments—without proprietary runtimes or specialized hardware.”- Fadi Farhat, SVP Operations

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What’s new in PrismRCL 2.7.1

• Native macOS support on Intel and Apple Silicon (M-series)
• ARM processor support for Windows and Linux environments
• Faster auto-optimization on large tabular datasets, improving time-to-first model
• Cross-platform CLI parity maintained, so the same scripts work across Windows, Linux, and macOS

“This is a big step for us, as we are able to provide a groundbreaking tool to data scientists on the platforms with which they are most familiar.” – Allan Martin, CEO

Organizations can start a 30-day Enterprise trial today at lumina247.com/prismrcl-sign-up-2-0/. Trial users receive the current Enterprise build for their operating system of choice and will gain access to 2.7.1 features at launch.