Alternatives
Products that do what Oru'el Cloud does
AI Infra minus the babysitting.
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General Compute▲315AI models that run on an inference cloud optimized for speed
May 2026 · generalcompute.com
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Hello HN! I’m Jonathan from TensorDock. After 7 months in beta, we’re finally launching Core Cloud, our platform to deploy GPU virtual machines in as little as 45 seconds! https://www.tensordock.com/product-core Why? Training machine learning workloads at large clouds can be extremely expensive. This left us wondering, “how did cloud ever become more expensive than on-prem?” I’ve seen too many ML startups buy their own hardware. Cheaper dedicated servers with NVIDIA GPUs are not too hard to find, but they lack the functionality and scalability of the big clouds. We thought to…
2022 · tensordock.com
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Your phone has a GPU more powerful than most 2018 laptops. Right now it sits idle while you pay monthly subscriptions to run AI on someone else's server, sending your conversations, your photos, your voice to companies whose privacy policy you've never read. Off Grid is an open-source app that puts that hardware to work. Text generation, image generation, vision AI, voice transcription — all running on your phone, all offline, nothing ever uploaded. That means you can use AI on a flight with no wifi. In a country with internet censorship. In a hospital where cloud services are a compliance…
Feb 2026 · github.com
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Lower-cost, simple UI, AI-first DePIN cloud infrastructure
Jul 2026 · clouds.alternatefutures.ai
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Hey HN! Bob here, Founder and CEO of Salad (www.salad.com), a distributed cloud for AI inference at scale. *Why Salad?* Because there’s 400 Million consumer GPUs in the world (~100 Million AI-enabled RTX GPUS) and most of them lie unused for 18-22 hrs a day. These consumer GPUs offer similar or better cost-performance than high-end AI GPUs for many AI/ML use cases (Speech-to-text, batch jobs, text-to-image, computer vision to name a few). With Salad, we have activated this latent compute in everyday PCs to power AI/ML workloads. *How big is our network?* More than 1,900,000…
2024
- 20IB
I wanted to play my Steam games but my aging PC couldn’t keep up, so I built Cloudy Pad - a tool to run Steam in the Cloud (GitHub: https://github.com/PierreBeucher/cloudypad) It runs on AWS, Azure, GCP, Scaleway and Paperspace with various cost optimizations and safeties: - Cost alerts - Auto stop inactive instances to avoid unwanted cost - Disk snapshots and data cleanup for cost efficiency - Spot instance support Under the hood: a Linux VM and a container running Sunshine (a streaming server https://github.com/LizardByte/Sunshine) with Steam. Most…
2025 · 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 community! My name is Kane and I'm on the product team at www.usage.ai , a cloud cost optimization company. After honing our product on AWS, I'm excited to announce our availability for customers on GCP and Azure! At a high level, Usage insures committed use-discounts (CUDs) to reduce commitment risk and enable higher savings for companies on the cloud. With traditional CUDs, you commit to a certain level of usage over a specified period in exchange for discounted rates from the cloud provider. However, if your actual usage falls short of the committed amount, you may not fully realize…
2024
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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
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