

JAX Pallas: Writing GPU Kernels for Maximum Performance
JAX Pallas is NVIDIA's GPU programming API for high-performance compute kernels. Write optimized kernels for matrix multiplication and memory access patterns.


JAX Pallas is NVIDIA's GPU programming API for high-performance compute kernels. Write optimized kernels for matrix multiplication and memory access patterns.


How LangGraph supports cycles for multi-agent workflows: learn to detect infinite loops, implement safety limits, and optimize cyclic agent graphs in production.


Chains are brittle. We need a shared state object for robust multi-agent reasoning.


Buying expensive GPUs to wait on cheap storage is an operational failure. We break down the math of 'Badput' and why high-performance I/O is actually a discount.


In distributed training, the slowest packet determines the speed of the cluster. We benchmark GCP's 'Circuit Switched' Jupiter fabric against AWS's 'Multipath' SRD protocol.