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GMI Cloud vs Relace
Relace sells fast apply, search and compaction models for coding agents; GMI Cloud hosts general text and media models. Complementary pieces.
By The Subconscious Team · Updated
GMI Cloud vs Relace: key differences
Relace's small models do the utility work of a coding agent. relace-apply-3 merges edit snippets at about 10,000 tokens per second with 128K tokens of input and output, its agentic search answers questions about large codebases in seconds, and its compaction model runs at 50,000 tokens per second. GMI Cloud is general infrastructure: an OpenAI-compatible Inference Engine with 100+ text, image, video and audio models, run on NVIDIA hardware it owns in the US and APAC. Relace sells tools that sit around a model, while GMI sells the models and the GPUs underneath them.
The two meet on deployment control. Relace can be self-hosted for enterprises that keep code in-house, and GMI offers in-country facilities in Taiwan, Thailand and Malaysia, so an APAC engineering team could keep both the main model and the tooling in-region. Relace errors past 128K tokens, so very large files need a fallback model, which could come from GMI's LLM catalog. Pick GMI to host models. Add Relace where apply and search steps slow down or cost too much.
What GMI Cloud and Relace 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 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 profileRelace
Relace trains small, fast models that act as tools for coding agents. Its best-known product is Instant Apply: a frontier model writes a lazy edit snippet, and relace-apply-3 merges it into the original file at about 10,000 tokens per second with 128K tokens of input and output. Relace says this runs over 3x faster and cheaper than having the big model rewrite the file. It exposes both a REST endpoint and an OpenAI-compatible one, and the model is also listed on OpenRouter.
Example models: relace-apply-3, Relace agentic search
Full Relace profileShould you choose GMI Cloud or Relace?
GMI Cloud
Choose GMI Cloud for
- The general LLM behind a coding agent, hosted in APAC
- Multimodal features alongside code tooling
- Moving to reserved capacity as traffic grows
Relace
Choose Relace for
- Applying AI edits to user codebases in app builders
- Parallel search over large repos for PR review
- Self-hosted code utilities for in-house codebases
GMI Cloud vs Relace at a glance
| Attribute | GMI Cloud | Relace |
|---|---|---|
| Model access | Open and third-party models | Specialist models |
| Flagship models | GLM-4.7-Flash, Google Veo | relace-apply-3, agentic search |
| Speed | Near bare-metal performance | ~10,000 tok/s apply |
| Price | $0.07 in, $0.40 out (GLM-4.7-Flash) | 3x+ cheaper than full rewrites |
| Customization | Unknown | Unknown |
| Deployment | Shared, autoscaling, reserved GPUs | Hosted API or self-hosted |
| Long context | Varies by model | 128K max |
Frequently asked questions
What is the difference between GMI Cloud and Relace?
Relace sells fast apply, search and compaction models for coding agents; GMI Cloud hosts general text and media models. Complementary pieces.
When should I choose GMI Cloud over Relace?
The general LLM behind a coding agent, hosted in APAC; Multimodal features alongside code tooling; Moving to reserved capacity as traffic grows.
When should I choose Relace over GMI Cloud?
Applying AI edits to user codebases in app builders; Parallel search over large repos for PR review; Self-hosted code utilities for in-house codebases.
Is GMI Cloud or Relace cheaper?
GMI Cloud: $0.07 in, $0.40 out (GLM-4.7-Flash). Relace: 3x+ cheaper than full rewrites. The cheaper choice depends on the model and workload.
Which has more context, GMI Cloud or Relace?
GMI Cloud: Varies by model. Relace: 128K max.
Related comparisons
Running long-horizon agents?
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.