Trooper.AI

Thunder Compute is a GPU cloud platform built for teams searching for cheap cloud GPUs without sacrificing performance, reliability, or ease of use. Developers, startups, and enterprises use Thunder Compute to launch H100, A100, and RTX A6000 GPU instances for AI training, LLM inference, fine-tuning, deep learning, PyTorch, CUDA, ComfyUI, Stable Diffusion, batch inference, and high-performance GPU workloads. With fast GPU provisioning, transparent pricing, persistent storage, and simple deployment, Thunder Compute makes cloud GPU hosting more accessible and cost-effective than traditional hyperscalers. Whether you need affordable GPUs for machine learning, a GPU server for AI, or a low-cost alternative to expensive GPU cloud providers, Thunder Compute helps you scale quickly with reliable on-demand GPU infrastructure designed for modern AI workloads. Thunder Compute is ideal for startups, ML engineers, and research teams that want cheap cloud GPUs with fast setup and predictable costs.

AMD Developer Cloud provides developers and open-source contributors with immediate access to high-performance AMD Instinct MI300X GPUs through a cloud interface, offering a pre-configured environment with Docker containers, Jupyter notebooks, and no local setup required. Developers can run AI, machine-learning, and high-performance-computing workloads on either a small configuration (1 GPU with 192 GB GPU memory, 20 vCPUs, 240 GB system memory, 5 TB NVMe) or a large configuration (8 GPUs, 1536 GB GPU memory, 160 vCPUs, 1920 GB system memory, 40 TB NVMe scratch disk). It supports pay-as-you-go access via linked payment method and offers complimentary hours (e.g., 25 initial hours for eligible developers) to help prototype on the hardware. Users retain ownership of their work and can upload code, data, and software without giving up rights.