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Life & fun · alternatives · 2026

24 alternatives to Intel SHA Extensions provide 3/4x performance improvement over AVX2

Accelerate SHA256 computations in pure Go using AVX512, SHA Extensions for x86 and ARM64 for ARM. On AVX512 it provides an up to 8x improvement (over 3 GB/s per core). SHA Extensions give a performance boost of close to 4x over native. - minio/sha256-simd

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Intel SHA Extensions provide 3/4x performance improvement over AVX2 launched in 2019; newer entries below may have overtaken it.

  1. 1

    Accelerate SHA256 computations in pure Go using AVX512, SHA Extensions for x86 and ARM64 for ARM. On AVX512 it provides an up to 8x improvement (over 3 GB/s per core). SHA Extensions give a performance boost of close to 4x over native. - minio/sha256-simd

    2017 · github.com · its alternatives →

  2. 2AS
  3. 3

    Native Go version of HighwayHash with optimized assembly implementations on Intel and ARM. Able to process over 10 GB/sec on a single core on Intel CPUs - https://en.wikipedia.org/wiki/HighwayHash - minio/highwayhash

    2018 · github.com · its alternatives →

  4. 4

    Animation of the SHA-256 hash function in your terminal. - in3rsha/sha256-animation

    2020 · github.com · its alternatives →

  5. 5

    Massive local model speedup on Apple Silicon with MLX

    Apr 2026 · ollama.com · its alternatives →

  6. 6

    Contribute to Mega4alik/ollm development by creating an account on GitHub.

    2025 · github.com · its alternatives →

  7. 7

    Runs AWS graviton2 images on intel, with native-speed compile times - valkmit/aws-graviton2-on-intel

    2021 · github.com · its alternatives →

  8. 8

    Janus is a API router for AI models written in Go and has a Vulkan Model runner - Vibra-Ingenn/Janus

    21d ago · github.com · its alternatives →

  9. 9

    Faster LZMA decoder for x86 CPUs (patch for XZ Utils). - faster_lzma_decoder_x86.patch

    2021 · gist.github.com · its alternatives →

  10. 10

    I am the author of the platform, happy to reply to any question you might have! It scales up really nicely thanks to a year of research and development of the hashtable implemented in cachegrand, on the hardware used for benchmarking, an AMD EPYC 7502P, it was able to reach up to 5mln GET QPS and 4.5mln SET QPS, with batching up to 60mln GET QPS and up to 26MLN SET QPS. cachegrand is fast, it's fully Open Source, it's under a BSD 3-clause license - it can be used easily as standalone platform or incorporated in other ones without any licensing issue - and we are working to expand the Redis…

    2022 · github.com · its alternatives →

  11. 11

    The core question: how did HP's scientific calculators actually work at the gate level? That rabbit hole led to building one from scratch. The architectural decision everything else follows from: a decimal calculator should store numbers as BCD — one decimal digit per 4-bit nibble. A standard byte-oriented CPU (Z80, 6502) fights that layout constantly. So I designed a small custom CPU in Verilog where 4 bits is the natural data width and memory is nibble addressable. What the project covers: - Custom CPU: Harvard architecture, 12-bit ISA, 8-state execution FSM, hardware stack guard with a…

    May 2026 · github.com · its alternatives →

  12. 12

    Simple in-memory Key/Value Store written in Elixir using `cabol/ex_shards` - cabol/kvx

    2016 · github.com · its alternatives →

  13. 13

    Fast(est), sharded Go cache with lock-free reads, self-adaptive SieveTinyLFU, batched async writes and HTTP middleware. - unkn0wn-root/kioshun

    2025 · github.com · its alternatives →

  14. 14

    A Go library that implements Consistent Hashing and Consistent Hashing With Bounded Loads. - lafikl/consistent

    2017 · github.com · its alternatives →

  15. 15

    Deploy a Lambda to Ping a Site in 20 Seconds! Contribute to frankcash/go-lambda-ping development by creating an account on GitHub.

    2018 · github.com · its alternatives →

  16. 16

    SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐 - Release Beating GCC 12 - 118x Speedup for Jensen Shannon

    2023 · github.com · its alternatives →

  17. 17

    Turing Pi is a compact ARM cluster that provides a secure and scalable compute in the edge. It is designed to make web-scale edge computing easier for developers.

    2020 · turingpi.com · its alternatives →

  18. 18

    Hi HN, We’re a small team of OS, virtualization, and ML engineers, and after three years of development, we’re thrilled to launch the beta of our CUDA abstraction layer! We decouple the Kernel Shader execution from applications that use CUDA into a Wooly Abstraction layer. In this abstraction layer, we compile these to a new binary, and Shaders are compiled into a Wooly Instruction Set. At runtime, Kernel Shader launch events initiate a transfer of Shader over the network from a CPU host to a GPU host, where they are recompiled. Their execution is managed by Wooly Server software to achieve…

    2025 · woolyai.com · its alternatives →

  19. 19IW

    Hi HN! During the last few years, I worked on a few applications built with Go, running on AWS Lambda. As I got to know the platform better, I started to find Go & Lambda to be a really productive combination. The applications were fast, and they ended up being much cheaper to run than what my team & I had built before. It’s probably not the best platform for _every_ application, but I was surprised at how much of our workload worked well on it. As we brought new engineers on to our team and helped them get up to speed with the stack, I found that we were covering a lot of the same topics…

    2021 · its alternatives →

  20. 20
    GoFast▲84

    Go hub to build high-performance, scalable web applications

    2025 · gofast.live · its alternatives →

  21. 21

    I've created a powerful tool to help Go developers uncover the hidden giants in their compiled binaries. Go Size Analyzer is like an X-ray machine for your Go executables, revealing: Which dependencies are eating up your binary size Unexpected bloat from standard library or vendor packages Size changes between binary versions with a visual diff Key features that set it apart: Interactive treemap visualizations (check out the demo: https://gsa.zxilly.dev) Slick terminal UI for deep diving into package hierarchies Cross-platform support (works on Linux, macOS, and Windows binaries)…

    2024 · github.com · its alternatives →

  22. 22

    Generate x86 Assembly with Go. Contribute to mmcloughlin/avo development by creating an account on GitHub.

    2019 · github.com · its alternatives →

  23. 23FH

    2020 · madhash.telekinesis.cloud · its alternatives →

  24. 24

    High performance storage engine for efficient LLM inference and GPU Training.

    Sep 2026 · theopenlake.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →