Alternatives
Products that do what SpotWarp does
Never lose a training run to a Spot GPU eviction
- 1LA
I built LocalGPT over 4 nights as a Rust reimagining of the OpenClaw assistant pattern (markdown-based persistent memory, autonomous heartbeat tasks, skills system). It compiles to a single ~27MB binary — no Node.js, Docker, or Python required. Key features: - Persistent memory via markdown files (MEMORY, HEARTBEAT, SOUL markdown files) — compatible with OpenClaw's format - Full-text search (SQLite FTS5) + semantic search (local embeddings, no API key needed) - Autonomous heartbeat runner that checks tasks on a configurable interval - CLI + web interface + desktop GUI - Multi-provider:…
Feb 2026 · github.com
- 2WX
Hey HN, I’m Surya and I’m excited to show you WarpBuild! WarpBuild provides fast, secure `x86-64` and `arm64` Github actions runners. This speeds up your workloads by 30%, at half the cost, and takes ~2mins to get started. We’ve been seeing pretty good results since we opened up signups a week ago and I’ve shared some numbers publicly here [1]. Currently, we support linux runners for Github organizations (not personal accounts) and MacOS support is coming soon (~Jan). The way the runners work is deceptively simple: Runners are assigned to hardware that is ideal for build workloads with fast…
2023 · warpbuild.com
- 3FG
Sep 2025 · github.com
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- 5RL
Hi HN, I’ve wanted a simple solution to handle Wake-on-LAN sequences for my home and work labs to boot up servers in the right order. I was already dabbling in Rust and thought this would be an interesting project to dive deeper and see if it could work well for this kind of network tool. The result is rallyup. rallyup lets you set up server dependencies in a YAML file, so each service (e.g., firewalls, storage, VM hosts) comes online in the right order. It verifies each server’s status before moving to the next. Features: - Dependency-based WOL with VLAN support - Built-in health checks…
2024 · github.com
- 6AF
I built an unofficial CLI and MCP server for Lambda cloud GPU instances. The main idea: your AI agents can now spin up and manage Lambda GPUs for you. The MCP server exposes tools to find, launch, and terminate instances. Add it to Claude Code, Cursor, or any agent with one command and you can say things like "launch an H100, ssh in, and run big_job.py" Other features: - Notifications via Slack, Discord, or Telegram when instances are SSH-ready - 1Password support for API keys - Also includes a standalone CLI with the same functionality Written in Rust. MIT licensed. Note: This is an…
Jan 2026 · github.com
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- 10AT
Hi HN! I’ve been running GitHub Actions workflows for a while, and when GitHub announced the new ubuntu-slim runners as a cheaper alternative to ubuntu-latest, I wanted to migrate—but figuring out which workflows are safe to switch turned out to be surprisingly tedious. You need to check for Docker usage, services, containers, step failures due to missing packages, and whether jobs rely on tools not available in the slim image. So I built gh-slimify, a GitHub CLI extension that automates all of this. It scans your repository, detects which jobs can be migrated, flags incompatible patterns,…
Nov 2025 · github.com
- 11GC
Jan 2026 · github.com
- 12RS
Hi HN! I've been hacking on this side project for the last month or two with the goal of making it dead simple to use cloud GPUs. I ran into this problem personally during the phd, and built my own tooling around it. I always thought it'd be fun to try to turn that tooling into a more general product... and bitbop.io is the result! All you have to do is run `ssh bitbop.io`, and you get your own personal dev GPU workstation in the cloud. Looking forward to hearing your thoughts!
2024 · twitter.com
- 13LG
Jul 2026 · github.com
- 14PY
Hello HN, my name is Varun, and I am the co-founder of StepSecurity. Here is the backstory about Harden-Runner. We thoroughly researched past software supply chain security incidents. The devastating breaches of SolarWinds, Codecov, and others, have one thing in common – they attacked the CI/ CD pipeline or the build server. These incidents made it clear that a purpose-built security agent was needed for CI/ CD. While there are numerous agents available for desktops and servers, such as from CrowdStrike and Lacework, none have been tailored specifically to address the unique risks…
2023 · github.com
- 15RR
runNburn is an Apache-2.0 Rust inference engine for quantized GGUF models that are too big for your fast memory. The core idea: weights stay file-backed (mmap), host residency stays under an explicit byte budget (--ram-budget), and GPU caches are sized from detected free/total VRAM — never from device-name presets. There is no conversion step, no sidecar cache files, no silent requantization. The GGUF on disk is the single source of truth. The result that made me want to post this: Tencent's Hy3 (295B total / 21B active sparse MoE, a single 97.8 GiB Q2_K GGUF) runs on my desktop…
Jul 2026 · github.com
- 16DP
I built a small Linux tool to deterministically verify GPU PCIe link health and bandwidth. It reports: - Negotiated PCIe generation and width - Peak Host→Device and Device→Host memcpy bandwidth - Sustained PCIe TX/RX utilization via NVML - A rule-based verdict derived from observable hardware data only This exists because PCIe issues (Gen downgrades, reduced lane width, risers, bifurcation) are often invisible at the application layer and can’t be fixed by kernel tuning or async overlap. Linux-only: it relies on sysfs and PCIe AER exposure that Windows does not provide.
Dec 2025 · github.com
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- 18BI
Jun 2026 · bastion.computer
- 19HR
2022 · github.com
- 20AR
Hi HN! We’re TensorPool. We help companies access and optimize large scale compute for training foundation models. The Problem It’s been almost a year since we’ve finished YC, and we’ve just crossed 100,000 multinode training GPU hours run on our platform. On those training runs, we’ve seen countless 3am job crashes because of issues like an Xid error from a flaky GPU or an S3 timeout that corrupted a checkpoint save. By the time you wake up and notice, you've lost 8+ hours of compute. You scramble to diagnose the issue, manually restart from the last checkpoint, and hope it doesn't happen…
Jan 2026 · docs.tensorpool.dev
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2024 · github.com
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CPU & GPU with Zero Hassle Built with NVIDIA Warp, the same code runs seamlessly on both CPU and GPU — no need to deal with CUDA setup, driver issues, or device-specific kernels. Just flip one config line. Learn Modern Graphics the Easy Way Explore core concepts in differentiable rendering and parallel graphics programming — no need for expensive GPUs or thousands of lines of boilerplate. Minimalist & Educational This isn’t another massive codebase. It’s a clean, hackable implementation built for clarity — perfect for study, prototyping, or teaching yourself how Gaussian Splatting works.
2025 · github.com
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