Accelerator
Best 10 Serverless GPU Clouds & 14 Cost-Effective GPUs
Serverless GPU can provide easy-to-scale LLM inference services. However, their costs can be substantial for large scale projects.
Top 30 Cloud GPU Providers & Their GPUs in 2025
We benchmarked 10 most common GPUs in typical scenarios (e.g. finetuning an LLM like Llama 3.2). Based on these learnings, if you: Ranking: Sponsors have links and are highlighted at the top. After that, hyperscalers are listed by US market share. Then, providers are sorted by the number of models that they offer.
Cloud GPUs for Deep Learning: Availability& Price / Performance
If you are flexible about the GPU model, identify the most cost-effective cloud GPU based on our benchmark of 10 GPU models in image and text generation & finetuning scenarios. If you prefer a specific model (e.g. A100), identify the lowest-cost GPU cloud provider offering it.
Top 20 AI Chip Makers: NVIDIA & Its Competitors in 2025
Based on our experience running AIMultiple’s cloud GPU benchmark with 10 different GPU models in 4 different scenarios, these are the top AI hardware companies for data center workloads.
AI Chips: A Guide to Cost-efficient AI Training & Inference
In last decade, machine learning, especially deep neural networks have played a critical role in the emergence of commercial AI applications. Deep neural networks were successfully implemented in early 2010s thanks to the increased computational capacity of modern computing hardware. AI hardware is a new generation of hardware custom built for machine learning applications.