Alternatives
Products that do what InfraSim does
Zero-risk chaos engineering — prove your infra's ceiling
- 1

- 2

Trace LLM requests + costs with OpenTelemetry monitoring
Oct 2025
- 3

- 4

- 5

- 6

- 7

- 8
- 9UD
Hey HN! I’m the founder of Unify, and we’ve just released our Model Hub, which provides a collection of LLM endpoints with live runtime benchmarks all plotted across time: https://unify.ai/hub A key finding is that static tabular runtime benchmarks for LLMs simply do not work. It’s necessary to take a time-series perspective, and plot the variations through time. We currently have 21 models provided by: Anyscale, Perplexity AI, Replicate, Together AI, OctoAI, Mistral AI and OpenAI, with more on the roadmap. We test across different regions (Asia, US, Europe), with varied…
2024
- 10OS
Hey HN, I am the founder of Tensorlake. Prototyping LLM applications have become a lot easier, building decision making LLM applications that work on constantly updating data is still very challenging in production settings. The systems engineering problems that we have seen people face are - 1. Reliably process ingested content in real time if the application is sensitive to freshness of information. 2. Being able to bring in any kind of model, and run different parts of the pipeline on GPUs and CPUs. 3. Fault Tolerance to ingestion spike, compute infrastructure failure. 4. Scaling compute,…
2024 · getindexify.ai
- 11

- 12

- 13

- 14

- 15
- 16

- 17MI
I've been working on a platform that uses LLMs to build maintain and manage k8s clusters on any cloud. The system writes infra as code to your Github repos and automatically containerizes and scales any services (public or private). The goal is to give your average engineer a vercel-like deployment experience for any service in any language at minimal cost. We have humans involved at the moment auditing LLM outputs and keeping an eye on clusters. We are looking for folks who may be thinking about their first infra/devops hire. Just connect your github and your cloud provider. The system…
2024 · milkinfrastructure.com
- 18OS
Hi all! This morning, we released a new Apache 2.0 licensed model on HuggingFace for detecting hallucinations in retrieval augmented generation (RAG) systems. What we've found is that even when given a "simple" instruction like "summarize the following news article," every LLM that's available hallucinates to some extent, making up details that never existed in the source article -- and some of them quite a bit. As a RAG provider and proponents of ethical AI, we want to see LLMs get better at this. We've published an open source model, a blog more thoroughly describing our methodology (and…
2023 · vectara.com
- 19CA
Hey HN, just wanted to share a fun, vibe-coded Friday night experiment: a little playground for writing cellular automata in a subset of Rust, which is then compiled into WGSL. Since it lets you dynamically change parameters while the simulation is running via a TUI, it's easy to discover weird behaviors without remembering how you got there. If you press "s", it will save the complete history to a JSON file (a timeline of the parameters that were changed at given ticks), so you can replay it and regenerate the discovery. You can pan/zoom, and while the main simulation window is in…
Feb 2026 · github.com
- 20

Manage AWS, GCP, Azure, Kubernetes, and 45+ cloud providers from one unified desktop and web app. SSH terminals, SQL editor, K8s exec, storage browser, and more.
Jul 2026 · infrawrench.com
- 21ME
We are building a VM that helps you simulate realistic production conditions, model latencies, different interleaving, user requests, and find bugs. Every non-deterministic property is turned into a knob you or a coding agent can control. We have helped teams perfectly reproduce support incidents and found bugs in some of the world's most well tested software (including a database).
Jun 2026 · workers.io
- 22

High performance storage engine for efficient LLM inference and GPU Training.
1d ago · theopenlake.com
- 23OS
2025 · github.com
- 24TC
Hello, I wanted to share with you all a interactive map of the economics and physics constraints of the AI buildout. It has macro drivers, industrial chokepoints, and where that shows up in markets. I've added 393 nodes and 562 edges to capture other supply / physics constraints as well. There's no sign up, and no pay wall, it's all free. Please let me know what you think!
Jun 2026 · atomprophet.io
Ranked by how close each launch is in meaning, then by votes. Refine with a description →