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Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads

news.ycombinator.com Unknown 2025-10-17 04:48:51

Authors: Marko Kabić, Bowen Wu, Jonas Dann, Gustavo Alonso Abstract In this study we explore the impact of different combinations of GPU models (RTX3090, A100, H100, GraceHoppers - GH200) and interconnects (PCIe 3.0, PCIe 4.0, PCIe 5.0, and NVLink 4.0) on various relational data analytics workloads (TPC-H, H2O-G, ClickBench). We present MaxBench, a comprehensive framework designed for benchmarking, profiling, and modeling these workloads on GPUs. Beyond delivering detailed performance metrics,

Topics: analytics gpu maxbench pcie workloads
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Launch HN: Inconvo (YC S23) – AI agents for customer-facing analytics

news.ycombinator.com Unknown 2025-10-31 02:59:07

Hi HN, we are Liam and Eoghan of Inconvo ( https://inconvo.com ), a platform that makes it easy to build and deploy AI analytics agents into your SaaS products, so your customers can quickly interact with their data. There’s a demo video at https://www.youtube.com/watch?v=4wlZL3XGWTQ and a live demo at https://demo.inconvo.ai/ (no signup required). Docs are at https://inconvo.com/docs. SaaS products typically offer dashboards and reports, which work for high-level metrics but are clunky for dr

Topics: agent ai analytics https inconvo
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Bitmapist: We built an open-source cohorts analytics tool that saved millions

news.ycombinator.com Unknown 2025-12-15 15:33:37

At Doist, we love making smart bets. Sometimes, the smartest decision isn’t to pick the biggest or shiniest tool out there but to build a small tool that does exactly what’s needed. That’s how Bitmapist came to life—a powerful, open-source cohort analytics library that’s been quietly driving smarter decisions and saving us millions of dollars. Why We Built Bitmapist Several years ago, we faced a common startup challenge: we needed robust cohort analytics to gain a deeper understanding of how p

Topics: active analytics bitmapist cohort user
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Revisiting Moneyball

news.ycombinator.com Pardis Noorzad 2025-12-25 02:22:15

You can build a player in aggregate. The A’s discovered they could construct effective offensive production by combining players with complementary skills rather than seeking complete players. This insight challenged the traditional scouting preference for “five-tool players” who could hit for average, hit for power, run, field, and throw. Instead of expensive superstars, the A’s assembled a roster where different players contributed specific, undervalued skills: Scott Hatteberg: Exceptional

Topics: 2002 analytics baseball mlb moneyball
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