1 NVIDIA H200 NVLink with Intel [...], $ 2,786.40/mo.

1 H200 GPU with NVLink and 16 CPU cores paired to 200 GiB RAM delivers a single-GPU training node you can spin up on demand for deep learning, LLM fine-tuning, data science experiments, video processing or accelerated analytics. The instance includes 200 GB NVMe storage for fast local scratch space, a dedicated IPv4 address, and 10 TB of outgoing bandwidth to move datasets and model artifacts without throttling. You pay per hour ($3.87/hr) and can pause or terminate as workflows change; shown monthly price is a simple 30-day conversion for comparison. Launch time is minutes, management is through a straightforward dashboard with full root access and pre-loaded drivers so frameworks like PyTorch and TensorFlow install cleanly. You can bring your own Docker images, attach volumes, and integrate with external object storage or repositories. Locations include multiple North American and European regions plus India and the UK to place compute near teams and data. Security is prioritized with isolated, dedicated GPUs (not shared/community cards) and network protections, and engineering assistance is available to help with configuration and performance questions.

Built for AI teams and developers, NameHero’s cloud GPU platform focuses on dedicated NVIDIA hardware (H200/B200 generations), instant scalability, and predictable pricing. Servers deploy in seconds, billing is hourly with transparent rates and no confusing tiers, and you manage everything from a unified control panel. The platform is a full Docker host with current drivers, supports common ML/DL stacks, and is backed by 24/7 helpdesk and live chat plus business-hours phone. Infrastructure emphasizes reliability and speed, and a 99.9% uptime target underpins service delivery. Data center choices span US, GB, CA, IN, DE, FR, and PL. Payments are supported via major credit cards and PayPal. Use cases range from training and fine-tuning to high-throughput inference, rendering, and scientific computing.