Show HN: Servers for AI, not another AWS (rawhq.io)

A new server platform has been launched, positioned as an innovative alternative to traditional cloud services like AWS, specifically for AI applications. Designed for efficiency and cost-effectiveness, this platform offers dedicated GPUs and an API-driven architecture, allowing users to create servers with full CUDA support, 96 GB VRAM, and NVMe storage for as low as $9 per month. This infrastructure enables users to fine-tune models or train them from scratch without the typical GPU waitlists. Notably, the platform promises a pricing model that is 100 times cheaper than AWS services like SageMaker and Bedrock, with no hidden egress fees or shared resources, ensuring dedicated performance for AI workloads. The significance of this launch lies in its potential to democratize access to high-performance AI computing, particularly for developers and businesses looking to scale efficiently. With features like root access, scalable worker management via a simple API, and multiple EU data center options for GDPR compliance, it addresses critical concerns around data privacy and infrastructure agility. This initiative could accelerate AI development cycles, provide more cost-effective solutions, and reduce dependency on conventional cloud giants, thus reshaping the competitive landscape in the AI/ML domain.