Dev tools · alternatives · 2026
24 alternatives to A simple scheduler for running jobs on GPUs
Simple scheduler for running jobs on GPUs. Contribute to ExpectationMax/simple_gpu_scheduler development by creating an account on GitHub.
This is a job scheduler designed to manage and run computational tasks on GPU hardware. It's intended for developers and researchers who need to efficiently allocate GPU resources across multiple jobs. The tool offers… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. A simple scheduler for running jobs on GPUs launched in 2019; newer entries below may have overtaken it.
- 1
Ocean Orchestrator ▲139Run AI jobs from your IDE with a one-click workflow
Mar 2026 · oncompute.ai · its alternatives →
- 2AG
Thought the resources for GPU arch were lacking, so here we are
Apr 2026 · jaso1024.com · its alternatives →
- 3
crunr ▲106Launch and run any compute job on AWS with 1 command
May 2026 · crunr.com · its alternatives →
- 4
jpgAgent - A PostgreSQL job scheduler. Contribute to GoSimpleLLC/jpgAgent development by creating an account on GitHub.
2017 · github.com · its alternatives →
- 5IM
2023 · vram.asmirnov.xyz · its alternatives →
- 6TC
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 · its alternatives →
- 7
Greetings HN! This is Doruk from Oblivus, and I'm excited to announce the launch of our platform, Oblivus Cloud. After more than a year of beta testing, we're excited to offer you a platform where you can deploy affordable and scalable GPU virtual machines in as little as 30 seconds! https://oblivus.com/cloud - What sets Oblivus Cloud apart? At the start of our journey, we had two primary goals in mind: to democratize High-Performance Computing and make it as straightforward as possible. We understand that maintaining GPU servers through major cloud service providers can be…
2023 · oblivus.com · its alternatives →
- 8
Affordable H100, H200, GB300, and B200 GPU compute for training, inference, and everything in between.
Sep 2026 · compute.cheap · its alternatives →
- 9
Hi HN, we are Ed, Zach, and Ronald, creators of Shadeform (https://www.shadeform.ai/), a GPU marketplace to see live availability and prices across the GPU market, as well as to deploy and reserve on-demand instances. We have aggregated 8+ GPU providers into a single platform and API, so you can easily provision instances like A100s and H100s where they are available. From our experience working at AWS and Azure, we believe that cloud could evolve from all-encompassing hyperscalers (AWS, Azure, GCP) to specialized clouds for high-performance use cases. After the launch of…
2023 · shadeform.ai · its alternatives →
- 10
Modern scheduling library for Python. Contribute to Miksus/rocketry development by creating an account on GitHub.
2022 · github.com · its alternatives →
- 11
dstack is a unified control plane for GPU provisioning and orchestration that works with any GPU cloud, Kubernetes, or on-prem clusters.
2024 · dstack.ai · its alternatives →
- 12IB
2020 · blog.cronhub.io · its alternatives →
- 13
RunInfra▲156Describe the AI model you need and get an optimized AI
Jul 2026 · runinfra.ai · its alternatives →
- 14
The standard GPU utilization metric reported by nvidia-smi, nvtop, Weights & Biases, Amazon CloudWatch, Google Cloud Monitoring, and Azure Monitor is highly misleading. It reports the fraction of time that any kernel is running on the GPU, which means a GPU can report 100% utilization even if only a small portion of its compute capacity is actually being used. In practice, we've seen workloads with ~1–10% real compute throughput while dashboards show 100%. This becomes a problem when teams rely on that metric for capacity planning or optimization decisions, it can make underutilized systems…
Apr 2026 · systalyze.com · its alternatives →
- 15
Erlang Distributed Scheduler. Contribute to GameAnalytics/gascheduler development by creating an account on GitHub.
2015 · github.com · its alternatives →
- 16
Hi! I've built this because I kept reaching for Celery for simple scheduled tasks and it felt like overkill. I just needed "run this function every hour" or "daily at 9am", not distributed workers. So it's decorators for scheduling (@scheduler.every(5).minutes, @scheduler.daily.at("09:00")), state saves to JSON so jobs survive restarts, and there's an optional FastAPI dashboard if you want to see what's running. No Redis, no message broker, runs in-process with your app. Trade-off is it's single process only — if you need distributed workers, stick with Celery.
Jan 2026 · github.com · its alternatives →
- 17
AiSilicon▲36Git-integrated GPU workloads, push to deploy & pull results
2024 · aisilicon.com · its alternatives →
- 18
Minimal Example of Using Vulkan for Compute Operations. Only ~400LOC. - Erkaman/vulkan_minimal_compute
2017 · github.com · its alternatives →
- 19
Run AI models or workflows on GPUs at a lower cost
2024 · its alternatives →
- 20TG
Hey folks! I’m Jonathan from TensorDock, and we’re building a cloud GPU marketplace. We want to make GPUs truly affordable and accessible. I once started a web hosting service on self-hosted servers in middle school. But building servers isn’t the same as selling cloud. There’s a lot of open source software to manage your homelab for side projects, but there isn’t anything to commercialize that. Large cloud providers charge obscene prices — so much so that they can often pay back their hardware in under 6 months with 24x7 utilization. We are building the software that allows anyone to become…
2024 · dashboard.tensordock.com · its alternatives →
- 21
Run GPU jobs from multiple Codex tasks via one Windows queue
Sep 2026 · github.com · its alternatives →
- 22
Manage your GPUs across NVIDIA, AMD, Intel, and Apple Silicon systems. - treadiehq/gpu-kill
2025 · github.com · its alternatives →
- 23
GPU Rates▲12I built a site to compare on-demand GPU prices across different providers and regions. Hopefully, it'll be helpful for ML developers and researchers.
2025 · gpurates.ai · its alternatives →
- 24GP
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 →
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 →