Fireworks AI vs GMI Cloud
GMI Cloud owns its GPUs and keeps data in-country across APAC, with video and audio models too. Fireworks has the bigger, more current LLM catalog.
By The Subconscious Team · Updated
Fireworks AI vs GMI Cloud: key differences
GMI Cloud is a vertically integrated GPU cloud. It owns its NVIDIA hardware in data centers across the US, Taiwan, Thailand and Malaysia, and its Inference Engine exposes 100+ models, more than half of them video, image and audio models from providers like Google Veo, Kling and ElevenLabs. Fireworks is an inference and training platform focused on open models, with 400+ of them and a serving stack that posts 167 to 174 tokens per second on DeepSeek V4 Pro. GMI's own profile concedes its LLM catalog is smaller and less current than Fireworks'.
Region is GMI's clearest win. In-country facilities in Taiwan, Thailand and Malaysia give Asia-Pacific companies data residency. GMI also lets customers move from shared endpoints to reserved H100 or H200 capacity on the same API, and says its near bare metal Cluster Engine recovers 10 to 15% of virtualization overhead. Fireworks has more developer mindshare and third-party benchmarking, plus SOC 2, HIPAA and ISO and managed SFT, DPO and RL. Pick GMI for APAC residency or one bill for LLMs and video. Pick Fireworks for LLM breadth and training.
What Fireworks AI and GMI Cloud do
Fireworks AI
Fireworks AI was founded in 2022 by former Meta PyTorch engineers led by CEO Lin Qiao, and it sells speed on open models. Its custom serving stack has posted 167 to 174 tokens per second on DeepSeek V4 Pro in third-party measurements, several times what most GPU peers hit on the same model. The catalog holds 400+ models across text, vision, audio and embeddings, served through an OpenAI-compatible API. In July 2026 it raised a $1.505B Series D at a $17.5B valuation, with a reported $1B+ run rate and 40T+ tokens a day.
Example models: DeepSeek V4 Pro, Kimi K3
Full Fireworks AI 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 Fireworks AI or GMI Cloud?
Fireworks AI
Choose Fireworks AI for
- The most current open LLMs across 400+ models
- Managed RL and SFT fine-tuning
- Buyers relying on third-party speed benchmarks
GMI Cloud
Choose GMI Cloud for
- APAC companies needing inference kept in-country
- LLMs and video generation on one API
- Reserved H100 or H200 capacity on owned hardware
Fireworks AI vs GMI Cloud at a glance
| Attribute | ||
|---|---|---|
| Model access | Open weights | Open and third-party models |
| Flagship models | DeepSeek V4 Pro, Kimi K3 | GLM-4.7-Flash, Google Veo |
| Speed | 167–174 tok/s on DeepSeek V4 Pro | Near bare-metal performance |
| Price | Fine-tunes served at base price | $0.07 in, $0.40 out (GLM-4.7-Flash) |
| Customization | SFT, DPO, RFT; Training API | Unknown |
| Deployment | Serverless, dedicated GPUs | Shared, autoscaling, reserved GPUs |
| Long context | Full 1M on DeepSeek V4 Pro | Varies by model |
Frequently asked questions
What is the difference between Fireworks AI and GMI Cloud?
GMI Cloud owns its GPUs and keeps data in-country across APAC, with video and audio models too. Fireworks has the bigger, more current LLM catalog.
When should I choose Fireworks AI over GMI Cloud?
The most current open LLMs across 400+ models; Managed RL and SFT fine-tuning; Buyers relying on third-party speed benchmarks.
When should I choose GMI Cloud over Fireworks AI?
APAC companies needing inference kept in-country; LLMs and video generation on one API; Reserved H100 or H200 capacity on owned hardware.
Is Fireworks AI or GMI Cloud cheaper?
Fireworks AI: Fine-tunes served at base price. 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, Fireworks AI or GMI Cloud?
Fireworks AI: Full 1M on DeepSeek V4 Pro. GMI Cloud: Varies by model.
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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.