Boosting LLM Performance with Tiered KV Cache on Google Kubernetes Engine
cloud.google.com·22h
📈Machine Learning
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Designing smarter caches with Valkey 9.0's numbered databases
dev.to·17h·
Discuss: DEV
👩‍💻Programming
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Mount Mayhem at Netflix: Scaling Containers on Modern CPUs
netflixtechblog.medium.com·14h·
Discuss: Hacker News
👩‍💻Programming
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Need some help optimizing for an academic research use case
reddit.com·6h·
Discuss: r/homelab
🧮Algorithms
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LiteStage: Latency-aware Layer Skipping for Multi-stage Reasoning
paperium.net·8h·
Discuss: DEV
📈Machine Learning
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Pool allocator in C++23 for simulations / game engines - faster than std::pmr
github.com·1d·
Discuss: r/programming
🧮Algorithms
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Memory Matters: The State of Embedded NVM (eNVM) 2025
semiwiki.com·1d
🧮Algorithms
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I needed fast embedded storage. RocksDB wasn't it. So I built TidesDB
tidesdb.com·9h·
Discuss: Hacker News
🗄️Databases
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Hugo Caching Strategies
dev.to·8h·
Discuss: DEV
👩‍💻Programming
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One Size Does Not Fit All: Architecture-Aware Adaptive Batch Scheduling with DEBA
arxiv.org·1d
🧮Algorithms
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MySQL Memory Management and Replication Best Practices for High-Load Environments
dev.to·20h·
Discuss: DEV
🗄️Databases
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Progress Update 1.22 - Optimising the Engine 🛠️
fallahn.itch.io·1d
🧮Algorithms
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Which Chip Is Best?
blog.confident.security·1d·
Discuss: Hacker News
🧮Algorithms
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A Shallow Introduction to Queueing Theory
thefridaydeploy.substack.com·1d·
Discuss: Substack
🧮Algorithms
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🏗️ Hardware Memory bandwidth is becoming the choke point slowing down GenAI.
threadreaderapp.com·2d
🧮Algorithms
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My works run slower on pre-production than in test – why?
colinpaice.blog·21h
Performance
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Supercharging Real-Time Applications with TiDB and DragonflyDB
pingcap.com·14h
👩‍💻Programming
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Non-recursively deleting a binary tree in constant space: Restructuring the tree
devblogs.microsoft.com·19h·
Discuss: Hacker News
🧮Algorithms
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Anukari on the CPU (part 2: CPU optimization)
anukari.com·13h·
Discuss: Hacker News
👩‍💻Programming
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