Tag: Memory Optimization
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Polars Lazy vs Eager: 50M Row Memory & Speed Benchmark
Lazy evaluation cut memory by 73% on 50M rows. Real benchmark with sensor data shows when lazy mode wins โ and when it doesn't.
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Pandas read_csv MemoryError Fix: Chunking vs Dask vs Polars
Fix Pandas MemoryError when reading large CSVs using chunking, Dask, or Polars. Compare memory usage and choose the best solution for your data.
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PagedAttention in vLLM: KV Cache Paging for 24x Throughput
vLLM's PagedAttention cuts KV cache waste from 60-80% to near zero. Real benchmarks show 2-24x throughput gains over HuggingFaceโhere's how paging works.
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Ring Attention: Train 1M Tokens on 8GB GPUs in 2026
Train transformers with 1M+ tokens on consumer GPUs using Ring Attention's distributed sequence processing. Learn the math behind blockwise compute.
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Python slots=True: 8x Memory Cut in 10M Dataclass Instances
Cut Python memory usage by 87% with slots=True in dataclasses. Real benchmark: 10 million instances, 8x efficiency gain, zero code complexity added.
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Python __slots__: 40% Memory Savings and Interview Gotchas
Cut Python class memory by 40% with __slots__โplus the 3 gotchas interviewers use to catch candidates who only read the docs.
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YOLO Video Inference Memory Leaks: 3 Fixes That Work
Fix YOLO video crashes after 2000 frames: 3 proven solutions for memory leaks, frame drops, and GPU OOM errors in production.