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GMI Cloud vs RunInfra
RunInfra automates building tuned open-model endpoints and sells cheap coding plans; GMI Cloud offers owned GPUs and 200+ multimodal models.
By The Subconscious Team · Updated
GMI Cloud vs RunInfra: key differences
RunInfra's standout product is an agent that builds deployments. Describe an endpoint in plain English and it picks a model, benchmarks GPUs from L4 to B200, searches quantized variants like AWQ, GPTQ and FP8, applies its Forge kernels and ships an endpoint that scales to zero with cold starts under two seconds. Its hosted Model APIs are a small eight-model library, mostly mid-size, and coding plans start at $10 a month. GMI Cloud takes a more traditional route: owned NVIDIA hardware in Tier-4 data centers, 200+ models across text and media, and a move from shared to autoscaling to reserved capacity.
Both handle more than text. RunInfra chains models like Whisper into an LLM into a TTS voice, and GMI hosts audio models from providers like ElevenLabs next to video models like Veo and Kling. GMI is the better fit for video generation, reserved GPUs and APAC residency. RunInfra suits small teams with no ML ops staff that want a tuned custom model, with uploads up to 50 GB. Both are light on independent benchmarking.
What GMI Cloud and RunInfra do
GMI Cloud
GMI Cloud is a vertically integrated GPU cloud and inference platform that owns its NVIDIA hardware. It runs Tier-4 data centers in Silicon Valley, Colorado, Taiwan, Thailand and Malaysia, and as an NVIDIA Cloud Partner it gets priority access to H100, H200, B200 and GB200 supply, with GB300 on pre-order. In March 2026 it announced a 1GW sovereign AI factory in Kagoshima, Japan. The company pivoted from crypto mining into AI, which gave it experience standing up high-density power and cooling fast. In September 2026 it raised $668M: a $223M Series B led by ARCHIV with NVIDIA participating, plus a $445M credit facility led by CTBC. It reports over $600M in contracted ARR and about 4T tokens a week on its inference platform.
Example models: DeepSeek V4 Flash, GLM-5.2, Google Veo
Full GMI Cloud profileRunInfra
RunInfra pitches open models built for agents, with two ways in. Its hosted Model APIs serve an eight-model library, including Nemotron 3.5 Lightning 30B, Qwen 3.8 27B, Ornith 1.5 35B and 122B, GLM 5.3, GLM 5.3 Flash and two versions of DeepSeek V4.1 Flash, behind one key that works with both the OpenAI and Anthropic SDKs. Prices run from $0.05 in and $0.15 out on Nemotron to $1.30 in and $4.20 out on GLM 5.3, and cached input starts at $0.01. Coding plans start at $10 a month with limits that reset every five hours and every week, and they plug into Claude Code, Codex, OpenCode, Cline, Aider and dozens of other agent CLIs.
Example models: Nemotron 3.5 Lightning 30B, Qwen 3.8 27B
Full RunInfra profileShould you choose GMI Cloud or RunInfra?
GMI Cloud
Choose GMI Cloud for
- Video and image generation alongside LLMs
- APAC data residency on owned hardware
- Reserved H100 or H200 capacity at scale
RunInfra
Choose RunInfra for
- Auto-benchmarked, auto-quantized custom endpoints
- Cheap coding plans for Claude Code, Codex and Aider
- Voice pipelines built without ML ops staff
GMI Cloud vs RunInfra at a glance
| Attribute | GMI Cloud | RunInfra |
|---|---|---|
| Model access | Open and third-party models | Open weights |
| Flagship models | DeepSeek V4 Flash, GLM-5.2, Google Veo | Nemotron 3.5 Lightning 30B, Qwen 3.8 27B |
| Speed | Near bare-metal performance | ~541 tok/s on Nemotron 3.5 Lightning 30B (vendor); cold starts under 2s |
| Price | H100 from $2.60/GPU-hr | From $0.05 in, $0.15 out; coding plans from $10 a month |
| Customization | Unknown | Uploads up to 50 GB; auto-quantization |
| Deployment | Shared, autoscaling, reserved GPUs | Model APIs, agent-built endpoints |
| Long context | Varies by model | Varies by model |
Frequently asked questions
What is the difference between GMI Cloud and RunInfra?
RunInfra automates building tuned open-model endpoints and sells cheap coding plans; GMI Cloud offers owned GPUs and 200+ multimodal models.
When should I choose GMI Cloud over RunInfra?
Video and image generation alongside LLMs; APAC data residency on owned hardware; Reserved H100 or H200 capacity at scale.
When should I choose RunInfra over GMI Cloud?
Auto-benchmarked, auto-quantized custom endpoints; Cheap coding plans for Claude Code, Codex and Aider; Voice pipelines built without ML ops staff.
Is GMI Cloud or RunInfra cheaper?
GMI Cloud: H100 from $2.60/GPU-hr. RunInfra: From $0.05 in, $0.15 out; coding plans from $10 a month. The cheaper choice depends on the model and workload.
Which has more context, GMI Cloud or RunInfra?
GMI Cloud: Varies by model. RunInfra: Varies by model.
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