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Modal vs GMI Cloud
GMI Cloud owns NVIDIA hardware in the US and APAC and serves 100+ multimodal models. Modal is a Python-first serverless GPU layer with no catalog. Owned regional capacity versus developer ergonomics.
By The Subconscious Team · Updated
Modal vs GMI Cloud: key differences
GMI Cloud is vertically integrated. It owns its NVIDIA hardware in Tier-4 data centers in Silicon Valley, Colorado, Taiwan, Thailand and Malaysia, and its Inference Engine serves 100+ models, including LLMs, video, image and audio, through an OpenAI-compatible API. Customers can move from shared endpoints to autoscaling to reserved H100 or H200 capacity on the same API. Modal owns none of that story. It is a developer platform where a Python decorator requests a GPU and Modal handles containers, scaling and per-second billing.
Residency and hosted models favor GMI. APAC teams that need in-country inference have few other options, and GMI offers Google Veo and Kling next to LLMs on one bill. Modal favors developer speed and custom code, with fine-tuning, batch and agent sandboxes on the same platform and a free Starter plan. GMI has less developer mindshare and third-party benchmarking than US peers, so claims need testing. Modal's warm containers and 3.75x non-preemptible markup can erase its per-second savings.
What Modal and GMI Cloud do
Modal
Modal is serverless compute with GPUs attached. A developer decorates a Python function with the hardware it needs, such as gpu="H100", and Modal builds the container, schedules it, autoscales it and scales it back to zero. Billing runs per second with no minimum increment, from $0.59 an hour for a T4 to $3.95 for an H100 at list. Containers can hold up to 8 GPUs across T4 through B300.
Example models: none hosted by default; teams deploy their own, such as open LLMs on vLLM or Whisper
Full Modal profileGMI 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 and B200 supply. The company pivoted from crypto mining into AI, which gave it experience standing up high-density power and cooling fast. An $82M Series A came from Headline, Wistron and Thai energy group Banpu.
Example models: GLM-4.7-Flash, Google Veo
Full GMI Cloud profileShould you choose Modal or GMI Cloud?
Modal
Choose Modal for
- Custom GPU services written in Python.
- Bursty jobs below roughly 80% utilization.
- Agent sandboxes next to inference.
GMI Cloud
Choose GMI Cloud for
- In-country inference in Taiwan, Thailand or Malaysia.
- Hosted video, image and LLM models on one API.
- Moving from shared endpoints to reserved GPUs.
Modal vs GMI Cloud at a glance
| Attribute | Modal | GMI Cloud |
|---|---|---|
| Model access | Bring your own weights | Open and third-party models |
| Flagship models | None hosted | GLM-4.7-Flash, Google Veo |
| Speed | ~1s container boot | Near bare-metal performance |
| Price | Per second; H100 $3.95/hr list | $0.07 in, $0.40 out (GLM-4.7-Flash) |
| Customization | Run any training code | Unknown |
| Deployment | Serverless GPU containers | Shared, autoscaling, reserved GPUs |
| Long context | Depends on the model you deploy | Varies by model |
Frequently asked questions
What is the difference between Modal and GMI Cloud?
GMI Cloud owns NVIDIA hardware in the US and APAC and serves 100+ multimodal models. Modal is a Python-first serverless GPU layer with no catalog. Owned regional capacity versus developer ergonomics.
When should I choose Modal over GMI Cloud?
Custom GPU services written in Python; Bursty jobs below roughly 80% utilization; Agent sandboxes next to inference.
When should I choose GMI Cloud over Modal?
In-country inference in Taiwan, Thailand or Malaysia; Hosted video, image and LLM models on one API; Moving from shared endpoints to reserved GPUs.
Is Modal or GMI Cloud cheaper?
Modal: Per second; H100 $3.95/hr list. GMI Cloud: $0.07 in, $0.40 out (GLM-4.7-Flash). The cheaper choice depends on the model and workload.
Which has more context, Modal or GMI Cloud?
Modal: Depends on the model you deploy. GMI Cloud: Varies by model.
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