GPUSignals
Track&predict GPU power availability across cloud platforms.
What it does
GPUSignals tracks and predicts GPU availability across cloud platforms like RunPod, Vast.ai, and Lambda. Get real-time alerts, heatmaps, and usage trends so you never miss a slot. Like Airbnb for GPUs—find the right GPU, at the right time.
Does a similar job
all alternatives →- GCgpudeploy.com – "Airbnb" for GPUs2024 · gpudeploy.com · ▲267
Hi HN, YC w24 company here. We just pivoted from drone delivery to build gpudeploy.com, a website that routes on-demand traffic for GPU instances to idle compute resources. The experience is similar to lambda labs, which we’ve really enjoyed for training our robotics models, but their GPUs are never available for on-demand. We are also trying to make it more no-nonsense (no hidden fees, no H100 behind “contact sales”, etc.). The tech to make this work is actually kind of nifty, we may do an in-depth HN post on that soon. Right now, we have H100s, a few RTX 4090s and a GTX 1080 Ti online.…
- SSShadeform – Single Platform and API for Provisioning GPUs2023 · shadeform.ai · ▲62
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…
- TCTensorDock Core GPU Cloud – GPU servers from $0.29/hr2022 · tensordock.com · ▲147
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…
- CGCloud GPUs for Deep Learning – At 1/3 the Cost of AWS/GCP2021 · gpu.land · ▲168
- IMI made a calculator to show cost savings of serverless GPUs vs. AWS2022 · paylesstoaws.com · ▲25
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