Life & fun · alternatives · 2026

24 alternatives to Stella Nera – Maddness Hardware Accelerator

Hashed Lookup Table based Matrix Multiplication (halutmatmul) - Stella Nera accelerator - joennlae/halutmatmul

Stella Nera is a hardware accelerator launched in 2023 that targets users interested in performance optimization and computing tasks. Available on GitHub, it provides acceleration capabilities for processing-intensive… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Stella Nera – Maddness Hardware Accelerator launched in 2023; newer entries below may have overtaken it.

1
Matrix Multiplication with Half the Multiplications▲310
Algebraic enhancements for GEMM & AI accelerators. Contribute to trevorpogue/algebraic-nnhw development by creating an account on GitHub.
2024 · github.com · its alternatives →
2
Ollama v0.19▲410
Massive local model speedup on Apple Silicon with MLX
Apr 2026 · ollama.com · its alternatives →
3
80% faster, 50% less memory, 0% loss of accuracy Llama finetuning▲385
Hi HN! I'm just sharing a project I've been working on during the LLM Efficiency Challenge - you can now finetune Llama with QLoRA 5x faster than Huggingface's original implementation on your own local GPU. Some highlights: 1. Manual autograd engine - hand derived backprop steps. 2. QLoRA / LoRA 80% faster, 50% less memory. 3. All kernels written in OpenAI's Triton language. 4. 0% loss in accuracy - no approximation methods - all exact. 5. No change of hardware necessary. Supports NVIDIA GPUs since 2018+. CUDA 7.5+. 6. Flash Attention support via Xformers. 7. Supports 4bit and 16bit…
2023 · github.com · its alternatives →
4AR
A RISC-V core in Racket▲122
2021 · guillaume.baierouge.fr · its alternatives →
5
A hash array-mapped trie implementation in C▲171
Long-simmering side project that is finally ready to see the light. HAMTs are a cool persistent data structure and implementing one has been a lot of fun. Beyond the code, there is likely some value in the extensive and largely complete implementation docs; basic benchmarks are linked in the README, too. Kind of aiming to be "the libavl for HAMTs". That is obviously a high and aspirational bar but a distinct possibility if it stirs up a little interest and/or contribution. Anyways, it's time for this to go out, collect feedback and maybe even some use outside of toy projects. Let me…
2023 · github.com · its alternatives →
6IB
I built a toy TPU that can do inference and training on the XOR problem▲134
We wanted to do something very challenging to prove to ourselves that we can do anything we put our mind to. The reasoning for why we chose to build a toy TPU specifically is fairly simple: - Building a chip for ML workloads seemed cool - There was no well-documented open source repo for an ML accelerator that performed both inference and training None of us have real professional experience in hardware design, which, in a way, made the TPU even more appealing since we weren't able to estimate exactly how difficult it would be. As we worked on the initial stages of this project, we…
2025 · tinytpu.com · its alternatives →
7
Cerebrium▲300
If you haven’t noticed, GPUs are scarce right now. The global boom in inference has demand growing faster than supply can keep up, and at Cerebrium ...
2024 · cerebrium.ai · its alternatives →
8
A physically-based GPU ray tracer written in Julia▲198
We ported pbrt-v4 to Julia and built it into a Makie backend. Any Makie plot can now be rendered with physically-based path tracing. Julia compiles user-defined physics directly into GPU kernels, so anyone can extend the ray tracer with new materials and media - a black hole with gravitational lensing is ~200 lines of Julia. Runs on AMD, NVIDIA, and CPU via KernelAbstractions.jl, with Metal coming soon. Demo scenes: github.com/SimonDanisch/RayDemo
Feb 2026 · makie.org · its alternatives →
9
Azula – Lightweight GPU Accelerated Electron Alternative▲38
Lightweight GPU accelerated HTML GUI for native JavaScript - maierfelix/azula
2019 · github.com · its alternatives →
10RX
Razer x Lambda Tensorbook▲64
Hi all, long time lurker, first time poster. I want to share with you all something we've been working on for a while at Lambda: the Razer x Lambda Tensorbook: https://www.youtube.com/watch?v=wMh6Dhq7P_Q But before I tell you about it, I want to make this all about me, because I built this for me. See, while I'm genuinely interested in hearing from the community what you think as this is the culmination of a lot of effort from a lot of people across so many different fields (seriously, the number of folks across manufacturing, engineering, design, logistics, and marketing who…
2022 · its alternatives →
11
High-order Virtual Machine (HVM) – A Parallel Functional Runtime▲150
HVM1 (2022): a massively parallel, optimal functional runtime in Rust - HigherOrderCO/HVM1
2022 · github.com · its alternatives →
12
Apple MLX▲138
An array framework for machine learning on Apple silicon
2023 · pypi.org · its alternatives →
13
WoolyAI Acceleration Service▲100
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 →
14
Cachegrand – a fast OSS Key-Value store built for modern hardware▲121
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 →
15
Razorframe – A Node.js module for empowering real-time apps at scale▲52
Node library for empowering real-time applications at scale - team-emt/razorframe
2016 · github.com · its alternatives →
16
Pisa – Full Text Search Engine Written in C++▲96
PISA: Performant Indexes and Search for Academia. Contribute to pisa-engine/pisa development by creating an account on GitHub.
2020 · github.com · its alternatives →
17
Moustique – C++14 coroutine-based non-blocking IO on Linux▲68
C++14 high performance non-blocking network IO (based on epoll + boost.context) - matt-42/moustique
2018 · github.com · its alternatives →
18
Open source machine learning inference accelerators on FPGA▲57
Tom from Tensil here - happy to answer questions! We developed Tensil to bring custom ML accelerators to people who don't have the resources of companies like Google, Facebook and Tesla. Currently, we're focused on supporting convolutional neural network inference on edge FPGA (field programmable gate array) platforms, but we aim to support all model architectures on a wide variety of fabrics for both training and inference. Tensil is different from other ML accelerators in that it is open source and really easy to use. For example, you can generate a custom accelerator with one command: $…
2022 · tensil.ai · its alternatives →
19
Physically-Based GPU Pathtracer with Mitsuba XML Support▲63
GPU Raytracer from scratch in C++/CUDA. Contribute to jan-van-bergen/GPU-Raytracer development by creating an account on GitHub.
2021 · github.com · its alternatives →
20
Tantivy▲68
A full-text, horse-speed search engine library in Rust
2022 · github.com · its alternatives →
21PO
PlaidML, open source deep learning for any GPU▲52
Our company Vertex.AI has been working on this for a while but this is the first public release. We're starting with using PlaidML to bring OpenCL support to Keras and more frameworks, platforms, etc are coming. Yes, this means you can use use your AMD GPU for deep learning dev. Sorry, no Mac or Windows support yet although the brave can try building from source (it should work). http://vertex.ai/blog/announcing-plaidml https://github.com/plaidml/plaidml
2017 · its alternatives →
22
Zipslicer, a library for loading LLM checkpoints on consumer hardware▲38
This is a low-level opensource library I developed for my own use and decided to share, as it makes it possible to process large checkpoints of neural networks without renting high-RAM instances, on a regular PC. It replaces torch.load() with a custom function that produces a dictionary that materializes tensors on the fly. Compared to other solutions it doesn't require sharding or re-encoding checkpoints and uses them completely as-is. It is a foundation to make it possible to run inference and compress language models and other large models one layer at a time - in principle, even one…
2023 · github.com · its alternatives →
23
Finite Field Assembly:Emulate GPU on CPU▲25
A new programming language rooted in Pure Mathematics
2025 · leetarxiv.substack.com · its alternatives →
24T5
TensorBase: 5x~10000x Faster Drop-In/Accelerator for ClickHouse in Rust▲19
2021 · tensorbase.io · its alternatives →

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