Aqaba.ai is a cloud GPU computing service designed to accelerate AI research and development by providing instant access to powerful GPUs such as H100s, A100s, and RTX cards. The platform enables developers to fine-tune the latest large language models, train custom AI models, and efficiently run AI workloads in a scalable environment. What sets Aqaba.ai apart is its commitment to sustainability, powering its infrastructure with renewable energy. Users get dedicated GPU instances exclusively allocated to them, allowing full control and maximizing performance without resource sharing or interruptions due to idling. With an easy-to-use prepaid credit system and support through live Discord and email, Aqaba.ai is trusted by over 1,000 AI developers worldwide.

FluidStack enables AI engineers and businesses to access thousands of Nvidia GPUs instantly or reserve large-scale clusters. This cloud platform specializes in training large language models (LLMs) and foundational models, providing cost-effective solutions for high-performance computing. By connecting spare GPU resources, FluidStack manages to lower costs for users, facilitating rapid deployment and scaling of machine learning applications. It’s designed for seamless integration into workflows, ensuring that users can focus on enhancing their models without worrying about infrastructure.