What is GPUSignals?
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.
Problem
Users need to manually track GPU availability across different cloud platforms, leading to inefficiencies and missed opportunities due to fluctuating supply and demand.
Solution
A dashboard tool that tracks and predicts GPU availability using real-time data and analytics, allowing users to monitor heatmaps, receive alerts, and optimize resource allocation (e.g., real-time alerts for Lambda Labs availability).
Customers
AI researchers, machine learning engineers, and data scientists requiring scalable GPU resources for training models, startups with limited cloud budgets, and teams managing distributed computing workflows.
Unique Features
Aggregates GPU availability data from multiple platforms into a single dashboard, predicts future availability trends, and provides heatmaps for regional resource optimization—positioned as 'Airbnb for GPUs'.
User Comments
Real-time alerts prevent downtime during critical training sessions.
Heatmaps help prioritize cost-effective regions.
Saves hours previously spent manually checking providers.
Predictive analytics accurately forecasted Lambda Labs shortages.
Lacks integration with smaller niche GPU providers.
Traction
Launched May 2023, 1.2K upvotes on ProductHunt, $15K MRR with 500 active users, founder has 2.5K followers on X/Twitter.
Market Size
The global cloud GPU market is projected to reach $15.5 billion by 2028, driven by AI/ML adoption (Source: MarketsandMarkets, 2023).
