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How LLM Benchmarking Can Save You Money and Improve Efficiency
dev.to·7h·
Discuss: DEV
⏱️benchmarking
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The Evolution of Redis: From Cache to AI-Database (V1.0 to 8.4)
percona.com·13h
🗄️Database Sharding
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Show HN: BackBuild – A framework for sequencing complex software delivery
arcaned.co·15h·
Discuss: Hacker News
🌳Git
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CPU-bound Insert Benchmark vs MySQL on 24-core and 32-core servers
smalldatum.blogspot.com·1d·
Discuss: smalldatum.blogspot.com
📊Column Stores
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Dynamic Detection of Inefficient Data Mapping Patterns in Heterogeneous OpenMP Applications
arxiv.org·22h
📊Columnar Engines
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TidesDB v7.3.1 vs. RocksDB v10.9.1 Performance Benchmark
tidesdb.com·9h·
Discuss: Hacker News
⚙️Database Internals
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Komprise’s response to SSD shortages and delivery slowdowns
blocksandfiles.com·13h
🗄️Storage Tiering
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A new open-source benchkit to create your own reproducible database benchmarks
exasol.com·2d·
Discuss: Hacker News
⚡ClickHouse
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How to Maintain Test Automation as Systems Scale?
keploy.io·17h·
Discuss: DEV
👁️Observability
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The three types of LLM workloads and how to serve them
modal.com·10h·
Discuss: Hacker News
📊Columnar Engines
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Should enterprises run containers in VMs or bare metal?
thenewstack.io·8h
☁️Cloud Computing
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Building Modern Databases with the FDAP Stack • Andrew Lamb & Olimpiu Pop
youtube.com·1d
🧮Apache Calcite
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AssetOpsBench: Bridging the Gap Between AI Agent Benchmarks and Industrial Reality
huggingface.co·20h·
Discuss: Hacker News
⏱️benchmarking
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Professional Load & Performance Testing Services Provider Company USA, India
primeqasolutions.com·2d·
Discuss: DEV
⏱️benchmarking
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A Quest to Find the Fastest Search Stack
dev.to·13h·
Discuss: DEV
🧮Apache Calcite
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Co-optimization Approaches For Reliable and Efficient AI Acceleration (Peking University et al.)
semiengineering.com·9h
📊Columnar Engines
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PlummersSoftwareLLC/Primes: Prime number projects in 100+ programming languages, to compare their speed - and their programmer's cleverness
github.com·1d·
Discuss: Hacker News
🔢NumPy
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Databases are magic ... until ...
silvestreperret.com·18h·
Discuss: Hacker News
⚙️Database Internals
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Field Notes on Scaling MoE Expert Parallelism with DeepEP
nousresearch.com·1d·
Discuss: Lobsters
📊Columnar Engines
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Without benchmarking LLMs, you're likely overpaying 5-10x
karllorey.com·1d·
Discuss: Hacker News
⏱️benchmarking
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