Alternatives

Products that do what OSS implementation of Test Time Diffusion that runs on a 24gb GPU does

1FT
Fine-tune an 8B model on a 4 GB laptop GPU▲139
Aug 2026 · github.com
21T
15FPS to 60FPS, new GPU real-time flow-based method▲112
2020 · youtube.com
3AL
A “living” Linux process with no memory▲312
2020 · github.com
4CG
Cloud GPUs for Deep Learning – At 1/3 the Cost of AWS/GCP▲168
2021 · gpu.land
5XA
xOS – a 32-bit OS for the PC▲115
2016 · github.com
6DG
Dockerized GPU Deep Learning Solution (Code and Blog and TensorFlow Demo)▲80
2016 · github.com
7
Soup CLI▲107
Fine-tune an 8B LLM on a 4 GB laptop GPU
28d ago · trysoup.dev
8AM
A Minimal Code Example of Using Vulkan for Computations on the GPU▲68
2017 · github.com
9AS
A simple scheduler for running jobs on GPUs▲60
2019 · github.com
10
crunr ▲106
Launch and run any compute job on AWS with 1 command
May 2026 · crunr.com
11RD
RAM Disk Backed by GPU Memory(VRAM)▲37
2016 · github.com
12PB
Physically-Based GPU Pathtracer with Mitsuba XML Support▲63
2021 · github.com
13GB
GPU-backed Linux desktops in the cloud▲23
2016 · paperspace.com
14A6
A 6M-token movable window on a single 46GB GPU▲7
Jul 2026 · arxiv.org
15TF
TensorFlow for AWS on a Real GPU▲77
2015 · github.com
16RG
Run gpt-oss-20b on 8GB GPUs▲6
2025 · github.com
17ML
Minimal LLM Post-Training Experiments on an 8GB GPU (SFT, DPO, GRPO)▲21
Aug 2026 · github.com
18IE
I embedded 685M public texts in 32 minutes (on 8x A100, Rust, TensorRT)▲7
Quick note on how it works and how I've done my batch embedding engine IgniteMS. The whole thing runs as one process using Rust, reading input, tokenizing, packing batches, keeping the queue full. TensorRT handles inference. Python is only as a wrapper. I built it this way because when you use more than couple of GPUs, the GPUs stop being the problem. CPU cannot feed them fast enough. One A100 can go through batches faster than Python can tokenize and feed, so the GPU just sits there idle waiting for work. Most of my time went into optimizing this. At 8 GPUs that was basically the entire…
Jun 2026 · github.com
19IR
I run a vision model on every screenshot, locally, on a 4GB GPU▲36
Jun 2026 · github.com
20AL
Azula – Lightweight GPU Accelerated Electron Alternative▲38
2019 · github.com
21AL
A Language for Programming GPUs▲12
2019 · dev.to
22AS
A simple GPU hash table that can process 300M+ operations/second▲8
2020 · github.com
23FS
File System Performance Testing Tool for Windows▲19
2017 · ccsiobench.com
24AE
An Easy Library for GPGPU in JavaScript (Mobile and Web)▲15
2016 · github.com

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