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Together AI vs GMI Cloud
GMI Cloud owns its GPUs and offers APAC data residency with a strong video catalog. Together has the larger, more current LLM lineup and deeper training tools.
By The Subconscious Team · Updated
Together AI vs GMI Cloud: key differences
GMI Cloud is a vertically integrated GPU cloud with owned NVIDIA hardware in Silicon Valley, Colorado, Taiwan, Thailand and Malaysia. Its Inference Engine exposes 100+ models, and the mix leans multimodal: 45+ LLMs next to 50+ video, 25+ image and 15+ audio models from providers like Google Veo, Kling and ElevenLabs. GMI says its near bare metal Cluster Engine recovers 10 to 15% of virtualization overhead. Together's text catalog is the more current one, with Kimi K3, DeepSeek V4, GLM 5.2 and Qwen 3.8, and GMI's own entry concedes its LLM list trails Together's.
Region is GMI's clearest win. In-country facilities give APAC data residency that Together does not advertise. Both let customers grow from shared endpoints into reserved GPU capacity on one account. Together adds managed fine-tuning, an RL beta, rollout controls and a heavier research pedigree, while GMI has less developer mindshare and third-party benchmarking, so its claims need your own testing. Choose GMI for Asia-Pacific deployments and apps that mix LLMs with video generation. Choose Together for frontier open LLMs and training.
What Together AI and GMI Cloud do
Together AI
Together AI is the broadest open-model platform in the category. One bill covers per-token serverless inference, batch at up to 50% off, provisioned throughput with a 99% SLA, dedicated deployments, raw GPU clusters, managed fine-tuning and code sandboxes for agents. The text catalog runs past thirty open models, including DeepSeek V4, Kimi K3, GLM 5.2, Qwen 3.8 and MiniMax M3, plus image, video, speech and embedding models. Token prices sit at parity with Fireworks and Baseten.
Example models: Kimi K3, DeepSeek V4 Pro
Full Together 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 Together AI or GMI Cloud?
Together AI
Choose Together AI for
- The newest large open LLMs like Kimi K3
- Managed LoRA, full SFT and RL
- Production rollout tooling like shadow traffic
GMI Cloud
Choose GMI Cloud for
- Inference kept in Taiwan, Thailand or Malaysia
- Apps combining LLMs with Veo or Kling video
- Near bare metal reserved H100 or H200 capacity
Together AI vs GMI Cloud at a glance
| Attribute | Together AI | GMI Cloud |
|---|---|---|
| Model access | Open weights | Open and third-party models |
| Flagship models | Kimi K3, DeepSeek V4, GLM 5.2, Qwen 3.8 | GLM-4.7-Flash, Google Veo |
| Speed | 0.99s TTFT on DeepSeek V4 Pro | Near bare-metal performance |
| Price | Parity with Fireworks and Baseten | $0.07 in, $0.40 out (GLM-4.7-Flash) |
| Customization | LoRA and full SFT; RL in beta | Unknown |
| Deployment | Serverless, dedicated, GPU clusters | Shared, autoscaling, reserved GPUs |
| Long context | 512K on DeepSeek V4 Pro | Varies by model |
Frequently asked questions
What is the difference between Together AI and GMI Cloud?
GMI Cloud owns its GPUs and offers APAC data residency with a strong video catalog. Together has the larger, more current LLM lineup and deeper training tools.
When should I choose Together AI over GMI Cloud?
The newest large open LLMs like Kimi K3; Managed LoRA, full SFT and RL; Production rollout tooling like shadow traffic.
When should I choose GMI Cloud over Together AI?
Inference kept in Taiwan, Thailand or Malaysia; Apps combining LLMs with Veo or Kling video; Near bare metal reserved H100 or H200 capacity.
Is Together AI or GMI Cloud cheaper?
Together AI: Parity with Fireworks and Baseten. 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, Together AI or GMI Cloud?
Together AI: 512K 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.