Startup Ideas AI

Thunder Compute provides cheap cloud GPUs for AI/ML, offering on-demand A100 & H100 GPU instances for up to 80% less. It simplifies AI/ML prototyping and development with tools like a simple CLI, instance templates, and VS Code/Cursor extension for real-time file syncing. Users can scale on demand and pay only for what they use.

TensorDock is a cloud GPU provider that offers affordable and easy-to-use GPU servers for machine learning, AI, rendering, and cloud gaming. It provides enterprise-grade hardware with support for TensorFlow and PyTorch, allowing users to deploy GPU servers starting from $5. TensorDock operates as a marketplace connecting customers to vetted hosts, ensuring high uptime and reliable performance. They offer a wide selection of GPUs, from RTX 4090 to HGX H100 SXM5, and provide KVM virtualization for full OS control and dedicated GPUs.

RunDiffusion is a cloud-based platform that provides access to powerful GPUs for running demanding AI and machine learning tasks, particularly those related to image generation and diffusion models like Stable Diffusion. It allows users to bypass the need for expensive local hardware by offering pre-configured virtual machines with the necessary software and drivers. RunDiffusion simplifies the process of setting up and managing these environments, making it accessible to both beginners and experienced users.

Massed Compute provides access to cloud computing infrastructure, specializing in GPU and CPU instances for AI, machine learning, VFX rendering, high-performance computing, scientific simulations, and data analytics. They offer bare metal servers, on-demand compute, and an inventory API for integrating NVIDIA GPUs into business platforms. They emphasize flexible and affordable pricing plans.