---
title: "Discussion on \"Why vLLM, SGLang, and FlashAttention Are Just 1970s Embedded Systems Algorithms\" | Hashnode"
description: "Discussion on \"Why vLLM, SGLang, and FlashAttention Are Just 1970s Embedded Systems Algorithms\". Demystifying GPU inference primitives by tracing FlashAttention, PagedAttention, and KV-cache reuse back to classic operating system memory paging and hardware scratchpads."
url: "https://hashnode.com/posts/why-vllm-sglang-and-flashattention-are-just-1970s-embedded-systems-algorithms/6aeacbba787e0a1857bf3f58"
---

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Discussion

# [Why vLLM, SGLang, and FlashAttention Are Just 1970s Embedded Systems Algorithms](https://anshugondi.hashnode.dev/why-vllm-sglang-and-flashattention-are-just-1970s-embedded-systems-algorithms?utm_source=hashnode&utm_medium=feed)

Demystifying GPU inference primitives by tracing FlashAttention, PagedAttention, and KV-cache reuse back to classic operating system memory paging and hardware scratchpads.

Nov 4 · 3 min read · anshugondi.hashnode.dev  
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## Written by

[Anshu Gondi](https://hashnode.com/@anshugondi)

@anshugondi · Delhi, India

  
[View profile](https://hashnode.com/@anshugondi)

Systems Engineer specializing in High-Performance Rust, Bare-Metal C/C++, and Zero-Copy Polyglot Architectures.

Systems Engineer focused on low-latency architectures, bare-metal C/C++ FFI, and production Rust backends. ​I specialize in eliminating runtime bottlenecks at the C-ABI boundary—building high-throughput polyglot extensions (PyO3, FFI) and zero-copy memory pipelines for AI/ML inference and SaaS infrastructure. ​Core Stack: Rust (Axum, Candle, SQLx), C++17/23, C23, PyO3, PostgreSQL, MinIO. ​Proof of Work: Creator of FinTally—a pure Rust finance platform evolved from legacy Node.js/Django to FastAPI + PyO3, and ultimately rewritten into a full-stack Rust architecture powered by bare-metal C/C++ native engines via extern "C" FFI.

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