Life & fun · alternatives · 2026
24 alternatives to Scaleway ARM AMP Instances
Compute more for much less !
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Scaleway ARM AMP Instances launched in 2023; newer entries below may have overtaken it.
- 1SF
Hey folks! We're Alex and Evan, and we're working on putting together a 512 H100 compute cluster for startups and researchers to train large generative models on. - it runs at the lowest possible margins (<$2.00/hr per H100) - designed for bursty training runs, so you can take say 128 H100s for a week - you don’t need to commit to multiple years of compute or pay for a year upfront Big labs like OpenAI and Deepmind have big clusters that support this kind of bursty allocation for their researchers, but startups so far have had to get very small clusters on very long term contracts, wait…
2023 · sfcompute.org · its alternatives →
- 2
Activepieces▲212We observed two main points in the AI automation industry that led us to these decisions: 1. *Compute is so much cheaper now compared to 15 years ago. Why are users still paying like it’s 2010?* So, we made tasks/runs unlimited on all our paid cloud plans. We still have an open-source, self-hosted version, but for cloud users, they will now pay for premium features and have the freedom to use them as much as they want. 1. *Building a good AI agent is a knowledge transfer task, so everyone should be able to build their own agents.* If every time I need to automate something or build an…
2023 · activepieces.com · its alternatives →
- 3
Google Axion▲126Google’s first custom Arm-based CPU designed for datacenters
2024 · its alternatives →
- 4
- 5
Continual learning model trained from scratch on 8GB VRAM laptop with batch-1 stream of data. - volotat/mini-AGI
Sep 2026 · github.com · its alternatives →
- 6
Amp Free▲144Agentic coding tool built by Sourcegraph, free for everyone
2025 · ampcode.com · its alternatives →
- 7
I built Axe because I got tired of every AI tool trying to be a chatbot. Most frameworks want a long-lived session with a massive context window doing everything at once. That's expensive, slow, and fragile. Good software is small, focused, and composable... AI agents should be too. Axe treats LLM agents like Unix programs. Each agent is a TOML config with a focused job. Such as code reviewer, log analyzer, commit message writer. You can run them from the CLI, pipe data in, get results out. You can use pipes to chain them together. Or trigger from cron, git hooks, CI. What Axe is: - 12MB…
Mar 2026 · github.com · its alternatives →
- 8
AI agents that act. Automation that delivers.
Aug 2026 · app.canyontechs.ai · its alternatives →
- 9
Everest AI▲100Building the world’s fastest IPMI single board computer
Mar 2026 · everest.us.com · its alternatives →
- 10
Six-axis collaborative robot
2021 · elephantrobotics.com · its alternatives →
- 11
- 12
Affordable H100, H200, GB300, and B200 GPU compute for training, inference, and everything in between.
Sep 2026 · compute.cheap · its alternatives →
- 13
A cost-effective robot arm for your automation
2021 · kickstarter.com · its alternatives →
- 14
Hi HN, I’m Akshay. I built AMP because I was tired of my AI agents having "amnesia" the moment I closed the terminal. Like many of you, I use Claude/Cursor daily. RAG is great for searching documentation, but it’s terrible for continuity. It chunks text blindly, losing the narrative. When I asked my agent "Why did we decide to use FastAPI last week?", it would hallucinate or just give me generic pros/cons because the specific context of our decision was lost in a vector soup. So I decided to build a proper *Hippocampus* for my agents. *What is it?* AMP is a local-first memory…
Dec 2025 · github.com · its alternatives →
- 15
Made an ARM Thumb CPU from scratch in a digital circuit simulator for fun and decided to push the joke a little further and run real stuff on it, like a Web server, a Scheme interpreter, a MIDI player, and a VT100 emulator. This is basically a how-did-we-get-here blogpost, it's my second one of this kind, I'd love any feedback you might have.
2022 · zdimension.fr · its alternatives →
- 16
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱 - labml/guides/hardware_monitoring.md at master · labmlai/labml
2021 · github.com · its alternatives →
- 17AL
Hi HN friends, we're Nima (nimabanai) and Craig (cbschind) from Assemble Labs (https://assemblelabs.co) building the hardware context layer for AI to help you write better firmware faster. We’ve built an MCP server that plugs into any AI tool you’re using (Cursor, Claude Code, Gemini, etc.) and brings complete hardware context (schematics, datasheets, etc.) to your existing environment (new app fatigue is real...) with accuracy and in real time. Our goal is to make writing and debugging firmware on custom hardware faster and easier. Try out the free beta release:…
2025 · its alternatives →
- 18
Hi HN, We’ve launched a GPU cloud platform offering on-demand access to high-end GPUs — with pricing starting at $0.79/hr, no queue, and no preemption. What we offer: - On-demand H100, H200, and B200 instances - H200 pricing from $0.79/hr - Multi-region support: US, Singapore, and Europe - No queuing, no bidding, and no interruptions - Used by AI startups, researchers, and open-source developers Try it: https://hpc-ai.com/?utm_source=hackernews&utm_medium=post&ut... We built this after facing our own frustrations with high prices and long wait times on other…
2025 · hpc-ai.com · its alternatives →
- 19
A demonstration of ways to implement 'threaded code,' a technique used in Forth and in virtual machines like the JVM. - shadowofneptune/threaded-code-benchmark
2022 · github.com · its alternatives →
- 20GP
Out of curiosity, I put together a simple website which tracks the prices for a few variations of A100/H100 GPUs by hour broken out between spot/ondemand, form factor and provider. Specifically I was tailoring the tool towards the smaller, emerging providers like runpod, gpulist.ai, lambda labs etc. Anyone have any ideas to expand/refine it?
2024 · computeindex.michaelgiba.com · its alternatives →
- 21
2011 · l4dev.org · its alternatives →
- 22
- 23AN
Kimi K3 has 2.78 trillion parameters and ships as 1.42 TB of weights. It clearly does not fit in the memory of a laptop. But K3 is a Mixture-of-Experts model. For each token, only a small fraction of its 896 experts per layer is activated. That changes the problem: the entire model does not need to be resident in RAM, as long as the weights required by each token can be reached quickly enough. We built WASTE — the Weight-Aware Streaming Tensor Engine — to explore that idea. WASTE keeps the dense, repeatedly used part of the model resident in memory, stores the routed experts in an…
Jul 2026 · its alternatives →
- 24
Ampere▲1OpenClaw AI agent, ready in 60 seconds. Just text & done!
Feb 2026 · ampere.sh · its alternatives →
Also compare
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 →