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Nebius vs GMI Cloud
Two GPU clouds that own their hardware and add managed inference. The real split is geography: EU residency at Nebius, APAC residency at GMI.
By The Subconscious Team · Updated
Nebius vs GMI Cloud: key differences
Nebius and GMI Cloud look alike on paper. Both run NVIDIA hardware themselves, both sell managed inference over an OpenAI compatible API, and both let a team move from shared endpoints to dedicated or reserved capacity on one account. The deciding factor is usually where the data has to live. Nebius is headquartered in Amsterdam and offers EU or US placement for dedicated endpoints. GMI runs Tier-4 data centers in Silicon Valley, Colorado, Taiwan, Thailand and Malaysia, which gives Asia-Pacific companies in-country options.
Catalogs differ in shape. Nebius Token Factory focuses on 60+ open text models like DeepSeek, Qwen, GLM, Kimi and GPT-OSS, and Artificial Analysis has measured it among the top hosts on throughput. GMI's Inference Engine spans 200+ models across text, image, video and audio, including Google Veo, Kling and ElevenLabs, though its LLM list is smaller than the biggest US hosts. Nebius has deeper hyperscale backing through its Microsoft and Meta deals and publishes a 99.9% SLA. GMI has less third-party benchmarking, so its near bare metal claims need your own testing.
What Nebius and GMI Cloud do
Nebius
Nebius is an Amsterdam-headquartered AI cloud and the strongest European alternative to the US hyperscalers. It sells raw NVIDIA GPU compute, from H100s at $4.50 an hour on demand or from $0.79 on dynamic spot pricing, up to GB300 NVL72 racks, and it has begun adding Vera Rubin. On-demand GPU prices rose on October 1, 2026, and preemptible VMs moved to demand-set spot prices on October 8. Hyperscale buyers back it: a Microsoft capacity deal worth about $17.4B in September 2025, then a Meta agreement worth up to about $27B in March 2026.
Example models: DeepSeek V4 Pro, Kimi K3, MiniMax M3
Full Nebius 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, 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.
Example models: DeepSeek V4 Flash, GLM-5.2, Google Veo
Full GMI Cloud profileShould you choose Nebius or GMI Cloud?
Nebius
Choose Nebius for
- EU data residency for European enterprises
- High-throughput open LLM serving with a published SLA
- Serving uploaded fine-tunes at base token prices
GMI Cloud
Choose GMI Cloud for
- Inference kept in-region in Taiwan, Thailand or Malaysia
- Apps that want LLMs and video generation on one API
- Reserved H100 or H200 capacity after starting on shared endpoints
Nebius vs GMI Cloud at a glance
| Attribute | Nebius | GMI Cloud |
|---|---|---|
| Model access | Open weights, 60+ models | Open and third-party models |
| Flagship models | DeepSeek V4 Pro, Kimi K3, MiniMax M3, GLM | DeepSeek V4 Flash, GLM-5.2, Google Veo |
| Speed | Among top hosts on throughput | Near bare-metal performance |
| Price | From $0.06 per 1M input | H100 from $2.60/GPU-hr |
| Customization | Serve uploaded fine-tunes | Unknown |
| Deployment | Token Factory, dedicated, raw GPUs | Shared, autoscaling, reserved GPUs |
| Long context | Varies by model | Varies by model |
Frequently asked questions
What is the difference between Nebius and GMI Cloud?
Two GPU clouds that own their hardware and add managed inference. The real split is geography: EU residency at Nebius, APAC residency at GMI.
When should I choose Nebius over GMI Cloud?
EU data residency for European enterprises; High-throughput open LLM serving with a published SLA; Serving uploaded fine-tunes at base token prices.
When should I choose GMI Cloud over Nebius?
Inference kept in-region in Taiwan, Thailand or Malaysia; Apps that want LLMs and video generation on one API; Reserved H100 or H200 capacity after starting on shared endpoints.
Is Nebius or GMI Cloud cheaper?
Nebius: From $0.06 per 1M input. GMI Cloud: H100 from $2.60/GPU-hr. The cheaper choice depends on the model and workload.
Which has more context, Nebius or GMI Cloud?
Nebius: Varies by model. GMI Cloud: Varies by model.
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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.