g5g vs g6 for LLM Serving: the Same Code, and 3.7x the Throughput
This article compares two AWS GPU instance families for serving a small language model, using a payload that is byte-identical on both. The older fa…
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One TPU Chip, Eight Agents: Serving Small Agent Workloads with Raw JAX
Cloud TPU v6e-1 ( ct6e-standard-1t , one v6e chip, 32 GB HBM), GCE flex-start, europe-west4-a. vLLM baseline measured 2026-07-21. The workload nobod…
Why JAX Is a Much Better Backend for Quantum Circuit Simulation Than PyTorch
Modern quantum circuit simulation is not just “machine learning with complex tensors.” It involves irregular tensor contractions, sparse operators,…