# GMI Cloud vs General Compute

> GMI Cloud owns NVIDIA GPUs across the US and Asia with 100+ models. General Compute runs decode on ASICs for speed on a short open-model list.

Canonical: https://www.subconscious.dev/compare/gmi-cloud-vs-general-compute · By The Subconscious Team · Updated October 27, 2026

## How they compare

GMI Cloud owns its NVIDIA hardware in Tier-4 data centers in the US, Taiwan, Thailand and Malaysia. Its Inference Engine serves 100+ text, image, video and audio models, and GPU rental starts at $2.60 an hour for an H100. General Compute keeps prefill on GPUs and runs decode on ASICs from Cerebras, SambaNova, Positron AI and d-Matrix. It serves MiniMax M2.7, DeepSeek V3.2, DeepSeek V3.1 and GPT-OSS 120B from $0.21 in and $0.38 out per million tokens in us-west-2, and reports over 1,000 tokens per second on GPT-OSS 120B in its own benchmark.

GMI Cloud is the pick for APAC data residency, multimodal apps that want video and LLMs on one bill, and reserved GPU capacity. General Compute fits text agents where decode speed sets the wait, and it sells dedicated racks with tokens-per-second SLAs. Both depend mostly on their own performance claims.

## What each one does

### 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.

### General Compute

General Compute is a San Francisco inference cloud built on alternative chips. It splits each request across hardware, with NVIDIA GPUs handling prefill and ASICs from Cerebras, SambaNova, Positron AI and d-Matrix handling decode. In its own open benchmark on GPT-OSS 120B it measured 1,025 to 1,234 output tokens per second against 100 to 121 on an unnamed GPU cloud, and up to 16.2x faster end to end. Founders Finn Puklowski and Jason Goodison raised a $15M seed led by FUSE, an up to $400M debt facility from Upper90 and, on October 27, 2026, a $100M Series A co-led by Blackbird and Abstract.

## Which is best, and when

### Choose GMI Cloud for

- APAC data residency
- Text, image and video on one API
- Reserved GPU capacity

### Choose General Compute for

- Fast decode on ASICs
- Text agent loops
- Tokens-per-second SLAs

## At a glance

| Attribute | GMI Cloud | General Compute |
|---|---|---|
| Model access | Open and third-party models | Open weights |
| Flagship models | DeepSeek V4 Flash, GLM-5.2, Google Veo | MiniMax M2.7, DeepSeek V3.2, GPT-OSS 120B |
| Speed | Near bare-metal performance | 1,000+ tok/s on GPT-OSS 120B (vendor) |
| Price | H100 from $2.60/GPU-hr | $0.21–$0.28 in, $0.38–$1.20 out per 1M |
| Customization | - | Custom LoRA and fine-tuned checkpoints |
| Deployment | Shared, autoscaling, reserved GPUs | Serverless API, dedicated racks, bare metal |
| Long context | Varies by model | 192K (MiniMax M2.7) |

## FAQ

### What is the difference between GMI Cloud and General Compute?

GMI Cloud owns NVIDIA GPUs across the US and Asia with 100+ models. General Compute runs decode on ASICs for speed on a short open-model list.

### When should I choose GMI Cloud over General Compute?

APAC data residency; Text, image and video on one API; Reserved GPU capacity.

### When should I choose General Compute over GMI Cloud?

Fast decode on ASICs; Text agent loops; Tokens-per-second SLAs.

### Is GMI Cloud or General Compute cheaper?

GMI Cloud: H100 from $2.60/GPU-hr. General Compute: $0.21–$0.28 in, $0.38–$1.20 out per 1M. The cheaper choice depends on the model and workload.

### Which has more context, GMI Cloud or General Compute?

GMI Cloud: Varies by model. General Compute: 192K (MiniMax M2.7).

## Running long-horizon agents?

If your agents run past 200K tokens, compare both against Subconscious: [Subconscious vs GMI Cloud](https://www.subconscious.dev/compare/subconscious-vs-gmi-cloud.md), [Subconscious vs General Compute](https://www.subconscious.dev/compare/subconscious-vs-general-compute.md).

Full profiles: [GMI Cloud](https://www.subconscious.dev/providers/gmi-cloud.md), [General Compute](https://www.subconscious.dev/providers/general-compute.md).