Inference.net vs GMI Cloud

Inference.net runs cheap batch on spare GPUs and distills custom models. GMI Cloud owns its GPUs and serves 100+ text and media models with APAC residency.

By The Subconscious Team · Updated September 30, 2026

Inference.net vs GMI Cloud: key differences

Both sell GPU capacity, from opposite ownership models. Inference.net aggregates small unused chunks of capacity across data centers and passes the discounts on, mainly through a Batch API that takes up to 1M requests per file with 24-hour to 7-day windows. GMI Cloud owns its NVIDIA hardware in Tier-4 data centers in the US, Taiwan, Thailand and Malaysia, and serves 100+ models, text plus video, image and audio, with a path from shared endpoints to reserved H100 or H200 capacity. Inference.net is cheapest when you can wait. GMI offers owned capacity you can reserve.

Their extras differ. Inference.net's gateway captures production traffic, builds eval and training sets, fine-tunes a task-specific model and deploys it on a dedicated GPU with a 99.99% uptime target. GMI's extras are APAC data residency and media models like Google Veo and Kling. Each has thin third-party benchmarking, so buyers should test claims. Offline extraction and custom distillation fit Inference.net. In-region Asian workloads and apps mixing LLMs and video fit GMI.

What Inference.net and GMI Cloud do

Inference.net

Inference.net started as a buyer of last resort for idle GPU time. Its scheduler aggregates small unused chunks of capacity across data centers and runs models on them, and it passes the steep discounts it gets from those data centers on to customers. That origin still shows in its OpenAI-compatible Batch API, which takes up to 1M requests per file with completion windows from 24 hours to 7 days and far higher headroom than synchronous limits.

Example models: open catalog models plus customer fine-tunes served on dedicated GPUs

Full Inference.net profile

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 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 profile

Should you choose Inference.net or GMI Cloud?

Inference.net

Choose Inference.net for

Huge offline batches at spare-capacity prices
Distilling production traffic into a custom model
One gateway for open, closed and custom models

GMI Cloud

Choose GMI Cloud for

APAC companies needing in-country inference
Apps mixing LLMs with video and image generation
Reserved H100 or H200 capacity on owned hardware

Inference.net vs GMI Cloud at a glance

Attribute	Inference.net	GMI Cloud
Model access	Open, closed and custom	Open and third-party models
Flagship models	Customer fine-tunes	GLM-4.7-Flash, Google Veo
Speed	Batch windows of 24h to 7 days	Near bare-metal performance
Price	Discounted spare GPU capacity	$0.07 in, $0.40 out (GLM-4.7-Flash)
Customization	Distill traces into custom models	Unknown
Deployment	Batch API, gateway, dedicated GPUs	Shared, autoscaling, reserved GPUs
Long context	Varies by model	Varies by model

Frequently asked questions

What is the difference between Inference.net and GMI Cloud?

Inference.net runs cheap batch on spare GPUs and distills custom models. GMI Cloud owns its GPUs and serves 100+ text and media models with APAC residency.

When should I choose Inference.net over GMI Cloud?

Huge offline batches at spare-capacity prices; Distilling production traffic into a custom model; One gateway for open, closed and custom models.

When should I choose GMI Cloud over Inference.net?

APAC companies needing in-country inference; Apps mixing LLMs with video and image generation; Reserved H100 or H200 capacity on owned hardware.

Is Inference.net or GMI Cloud cheaper?

Inference.net: Discounted spare GPU capacity. 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, Inference.net or GMI Cloud?

Inference.net: Varies by model. GMI Cloud: Varies by model.

Related comparisons

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If your agents run past 200K tokens, compare both against Subconscious. Our inference stack treats a long-horizon trace as the primary workload, so speed, cost, and accuracy hold up deep into the trace.

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