Deploybase: Track real-time GPU and LLM pricing across cloud and inference providers

Deploybase has launched a new dashboard designed to bring transparency to the increasingly complex market for GPU and LLM inference pricing. The platform aggregates real-time pricing data from over 50 cloud providers, hyperscalers (AWS, Google Cloud, Azure), and specialized GPU inference services (CoreWeave, Lambda Labs, RunPod). This addresses a critical pain point for developers and companies deploying AI models, where pricing can vary dramatically between providers and fluctuate based on GPU availability, model size, and region. The tool aims to be the "Kayak for AI compute," providing a single pane of glass for cost comparison and infrastructure planning.

Technically, Deploybase tracks pricing for various GPU instances (H100, A100, L40S) and popular LLM APIs (GPT-4, Claude 3, Llama 3). Users can filter by region, view performance benchmarks like tokens-per-second, and access historical pricing charts to identify trends. A key feature is the ability to bookmark specific configurations and receive alerts on price changes. For engineering teams, this data is crucial for making informed decisions about where to deploy training jobs or inference endpoints to balance cost, latency, and availability. The launch comes as AI infrastructure costs become a primary concern, with companies spending millions monthly on cloud AI services.