Whileone Tech Space

Agentic AI has done something no previous AI workload managed: it made the host CPU interesting again. In single-shot inference the CPU tokenizes a prompt, hands off to the accelerator, and waits. In an agent loop it runs everything between model calls — orchestration and control flow, tool dispatch, sandbox spawn and teardown, file I/O, test execution, retrieval, JSON parsing, retries. Recent characterization work has put numbers on this. In tool-dominated agentic pipelines,

Modern compute platforms - from cloud hyperscale CPUs to edge processors - deliver unprecedented parallelism and instruction-set capabilities. But to truly understand performance, you need the right benchmarking tools. Whether you're comparing cloud instances, evaluating Arm-based servers like Ampere, or validating x86, RISC-V, or AI-accelerated hardware, the ecosystem offers several battle-tested frameworks. In this blog, we explore the most widely-used CPU benchmarking tool

We recently worked on extending Intel Perfspect (https://github.com/Whileone-Techsoft/PerfSpect/tree/Neoverse-native-support), a robust, command-line performance analysis tool that implements the Top-Down Microarchitecture Analysis Method (TMAM). It fully supports the Arm Neoverse-V2 architectures. This project required mapping the Performance Monitoring Unit (PMU) events on the ARM cores to the metrics of TMAM methodology. We can now get the Level 1 breakdown (Frontend Bound

JetStream is a JavaScript benchmark suite that evaluates web application performance by measuring the execution latency and throughput of complex workloads. With the release of JetStream 2.2, we at WhileOne Techsoft undertook the task of migrating its harness to a modern Node.js-based setup. Recently while working with a customer who was looking to benchmark their CPU using some js workloads. This post dives into why we did it, how we did it, and what you can expect from the.