GMI Cloud vs Runcrate: Pricing, Specs, Strengths & Weaknesses

GMI Cloud provides H100 and H200 GPU clusters across US and APAC regions with NVLink interconnects for high-bandwidth distributed AI training and large-scale LLM inference. Competitive on-demand pricing and large cluster support make it a strong option for APAC-based AI teams that need flagship NVIDIA hardware without the latency of US-only providers. A reliable specialist GPU cloud for organizations running multi-node training workloads across North America and Asia-Pacific.

Runcrate is a GPU cloud founded in 2024 offering on-demand instances with per-second billing and no minimum commitment — the meter stops the moment you stop the instance. The platform aggregates GPU capacity across eight global regions spanning North America, Europe, and Asia, covering 14 GPU models from RTX A6000 and A100 through H100 and RTX PRO 6000. Full root access via SSH, Docker support, and custom images are included on every instance. An OpenAI-compatible inference API serves open-source models billed per token, and reserved or dedicated capacity is available for teams with monthly volume commitments.