Canopy Wave vs Runcrate: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Canopy Wave and Runcrate. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
Canopy Wave announced a merger with SAIHEAT. The platform offers HGX B300 (reserve), GB200 NVL72 (reserve), HGX B200 (reserve), HGX H200, and HGX H100 on-demand. Serverless inference covers DeepSeek V4.1-Flash, DeepSeek V4 Pro, GLM-5.2, Kimi K3, Kimi K2.6, MiniMax M3, and Qwen3.8-Flash-Next. Unlimited Token Plan available. Coding Plan for privacy-protected open model access. Zero data retention policy. Check canopywave.com for current rates.
- H200 and H100 HGX — competitive on-demand pricing
- Serverless inference: DeepSeek V4 Pro, Kimi K3, GLM-5.2, MiniMax M3
- Unlimited Token Plan — flat-rate token access
- Zero data retention policy
- HGX B300 and GB200 NVL72 available to reserve
- Merging with SAIHEAT for expanded capacity
- Merger with SAIHEAT creates uncertainty
- Smaller provider — limited scale vs hyperscalers
- B300/GB200 not yet on-demand (reserve only)
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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.
- Per-second billing — no minimum commitment
- OpenAI-compatible inference API
- 14 GPU models including H100 and RTX PRO 6000
- 8 global regions across NA, EU, and Asia
- Full root SSH access with Docker and custom images
- Reserved and dedicated capacity available
- No enterprise SLAs or uptime guarantees
- Smaller provider — limited scale vs hyperscalers
- No managed platform or containers
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Key differences
Canopy Wave
Merging with SAIHEAT — H200, H100, serverless inference with DeepSeek V4 Pro, Kimi K3
Runcrate
GPU cloud with per-second billing and an OpenAI-compatible inference API