Arm
3 stories filed under Arm on Beyond Market Intelligence. The newest of them: “Qualcomm's Linux Preview for Snapdragon X2 Aims to Smooth ARM Laptop Development”, “IBM's new mainframe chip runs Z and Arm workloads on the same cores.”, and “Discover how ARPL adapts llama.cpp to your device's true capabilities”. Qualcomm's Linux preview for Snapdragon X2 arrives with a clear purpose: get the kernel ready before the hardware ships, not after. IBM's next-gen mainframe chip is the first to run both Arm and Z workloads on the same cores, switching between them in nanoseconds. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every Arm story on Beyond Market Intelligence, newest first.
Qualcomm's Linux Preview for Snapdragon X2 Aims to Smooth ARM Laptop Development
Qualcomm's Linux preview for Snapdragon X2 arrives with a clear purpose: get the kernel ready before the hardware ships, not after. That's a sensible response to the software friction that has long plagued ARM laptops. The Debian 13 environment and focus on standardizing system initialization show a commitment to practical, developer-first progress. If you're weighing how AI tools handle real workloads, our comparison of two transcribers offers useful context. This preview feels like a step toward smoother ARM development.
IBM's new mainframe chip runs Z and Arm workloads on the same cores.
IBM's next-gen mainframe chip is the first to run both Arm and Z workloads on the same cores, switching between them in nanoseconds. That's not a small technical trick; it's a direct answer to a question that has shadowed the mainframe for years. By making every core bilingual rather than bolting on a few Arm processors, IBM is betting that the machine running the world's banks can also run the AI era's software. It's a bold, practical step, and one worth watching closely.
Discover how ARPL adapts llama.cpp to your device's true capabilities
Your phone already knows what chip it's running. Why shouldn't llama.cpp? ARPL tackles that gap head-on, reading the Snapdragon 8 Elite's actual ISA extensions and core layout at runtime, then tuning thread counts and context params to match. No per-device builds, no guesswork. Testing on a Samsung S25 Ultra shows real gains. It's a smart, practical step for ARM AI, even if the NPU partitioning is still pending.