Alternatives
Products that do what CarbonRunner does
Shift AI training & CI/CD to the lowest carbon regions!
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Hi HN! We are the team behind Spacelift (https://spacelift.io/). Spacelift is the CI/CD for infrastructure-as-code, be it Terraform, Pulumi, CloudFormation or Ansible (coming soon), and policy as code. It enables collaboration, automates manual work and compliance, and lets teams customize and automate their workflows. Here’s what you can do with Spacelift - Build sophisticated Git-based workflows - Use Open Policy Agent to declare rules around your infrastructure, access control, state changes, and more - Author and maintain reusable modules for your organization; we…
2021
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- 14IB
I got sick of: - Re-writing the same Terraform for the same common AWS infrastructure - Re-writing the same Rails code to build the same webapp - Re-configuring the same monitoring systems & CI/CD pipelines - Spending a week in dependency & configuration hell wiring it all together When I was launching my first two startups, I wished I had a strong starting point with all of the best practices & technology configured out-of-the-box. Every tool I found wanted to lock me in to some PaaS provider (that might not even exist in a year) who wanted to take a premium on my infrastructure spend…
2024
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2022 · github.com
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Hey HN: Kaveh here, founder of https://www.usage.ai/ We help companies drive down AWS, GCP, and Azure spend. Why? Because the way it's done now is a pain. DevOps and Software Engineers end up spending time managing costs rather than focusing on business problems. I have been building Usage AI for almost 4 years now (4 year anniversary in 1 month from now!) with an incredible group of founding people. We started as a product just to help lower AWS EC2 costs, and now we do all major AWS services (such as RDS, OpenSearch, ElastiCache, and Redshift with more on the way) and other…
2024
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Hi HN, We're excited to introduce Fixstars AIBooster, our new performance engineering tool designed to significantly accelerate AI model training while optimizing GPU utilization. AIBooster provides: Real-time monitoring of GPU, CPU, memory, and power consumption. Clear visibility into performance bottlenecks, helping developers optimize AI workloads. Proven acceleration of AI training processes—users commonly achieve up to 2-3x speed improvements. Significant cost savings by maximizing infrastructure efficiency. It's free to try, requires minimal setup, and integrates seamlessly into your…
2025 · fixstars.com
- 18HT
After 1 year & 3 months of work, HCC the C -> SPIR-V compiler for Vulkan has its first release!!! - vertex, pixel & compute shaders - share structs, functions & enums across the CPU & GPU - fully bindless resources - multiple shaders in a single file - vulkan 1.3 + - windows & linux support - aims for C11 support - textures, atomics, quad & wave intrinsics - scalars, vectors, matrices maths library - samples app with 5 shader samples - playground app (shadertoy clone)
2023 · github.com
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Today you can easily adopt AI coding tools because you have git for branching and rolling back if AI writes bad code. We haven't seen this same capability for data and decided to build it ourselves. Nile is a new kind of data lake, purpose built for using with AI. It can act as your data engineer or data analyst creating new tables and rolling back bad changes in seconds. We support real versions for data, schema, and ETL. We'd love your feedback on any part of what we are building - https://getnile.ai/ What do you think?
Jan 2026
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Hey HN community! Over the past year, AI copilots like Cursor and Windsurf have fueled a dramatic shift in software engineering workflows. And yet, many technical users in adjacent fields like data science and analytics have been unable to reap the rewards of this revolution. It turns out that the existing tools are a poor match for analytical workloads. Beyond that Cursor and similar tools have very poor support for Jupyter notebooks, data science is a fundamentally different discipline from software engineering and we believe it requires a correspondingly different tool. We're excited to…
Sep 2025 · sphinx.ai
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2020 · mergequeue.com
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Hi everyone, I started working on nanoeuler after the ban of anthropic's fable because my ambition and dream is to work in the AI field in anthropic. The two interesting reasons that led me to create nanoeuler were the first, interfacing with llm does not mean understanding how they are composed and two, working on llm with a very low-level layer to understand the correlation between parameters and data and growth of the model and how the GPU works and how some layers can be optimized. So I started working on it with a research aspect by making nanoeuler grow more and more but doing one step…
Jun 2026 · github.com
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We built RapidFire AI, an open-source Python tool to speed up LLM fine-tuning and post-training with a powerful level of control not found in most tools: Stop, resume, clone-modify and warm-start configs on the fly—so you can branch experiments while they’re running instead of starting from scratch or running one after another. - Works within your OSS stack: PyTorch, HuggingFace TRL/PEFT), MLflow. - Hyperparallel search: launch as many configs as you want together, even on a single GPU - Dynamic real-time control: stop laggards, resume them later to revisit, branch promising configs in…
Sep 2025 · github.com
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