JAX Pallas Kernels: Write GPU Kernels for Max Performance
JAX Pallas kernels: NVIDIA GPU programming API for high-performance compute. Write optimized kernels for matrix multiplication and memory access.
Tag: XLA
JAX XLA: Why Your GPU is Idle 40% of the Time
Recompilation is the silent killer of training throughput. If you see 'Jit' in your profiler, you are losing money. We dive into XLA internals.
JAX vs Custom C++: Business Case for AI Training
JAX vs custom C++ AI training stack: why compiler-first JAX cuts data movement and improves throughput 2.7x for model training.
Why More GPUs Is No Longer a Viable Strategy in 2026
As hardware lead times and power constraints hit a ceiling, the competitive advantage in AI has shifted from chip volume to architectural efficiency. This article explores how JAX, Pallas, and Megakernels are redefining Model FLOPs Utilization (MFU) and providing the hardware-agnostic Universal Adapter needed to escape vendor lock-in.