GMI Cloud
GMI Cloud is a Mountain View-based AI-native GPU cloud provider offering bare metal NVIDIA H100/H200/Blackwell compute, a 200+ model inference API (MaaS/AgentBox), and sovereign AI Factory deployments to 300+ AI startups, enterprises, and government clients globally.
- Company typePrivate
- Founded2023
- HeadquartersMountain View, United States
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
What GMI Cloud does
GMI Cloud is an AI-native inference cloud provider headquartered in Mountain View, California, that delivers GPU compute and AI inference infrastructure optimized for production generative AI workloads. The company operates a vertically integrated platform spanning an Inference Layer (LLM, image, video, audio, multimodal inference via Model-as-a-Service and AgentBox), an Orchestration Layer (Kubernetes-based Cluster Engine with auto-scaling and load balancing), a Compute Layer (dedicated NVIDIA GPUs), and a Hardware Layer built on NVIDIA Reference Architecture (H100, H200, Blackwell B200, GB200, and Vera Rubin NVL72 platforms). Pivoted from Bitcoin mining to AI datacenter services, GMI Cloud has built bare metal deployment capabilities claiming 30-40% speed advantage and 10x latency stability improvements versus hyperscaler virtualized environments, with RDMA-ready InfiniBand networking (3.2 Tbps) for distributed workloads.
The company serves 300+ AI teams across startup, enterprise, and public-sector segments, offering transparent usage-based pricing (H100 at $2.00/hr, H200 at $2.60/hr, B200 at $4.00/hr) alongside token-based MaaS API pricing across 200+ models. Its go-to-market combines a self-serve developer console (PLG), direct enterprise sales for sovereign AI and rent-to-own contracts, and a three-tier channel partner program (Reseller, Model Provider, Alliance). Strategic pivots have included $93M+ in total funding (Series A of $82M led by Headline Asia in October 2024), a $500M Taiwan AI Factory deployment (7,000 NVIDIA Blackwell GPUs), and a $12B Japan sovereign AI infrastructure initiative via partnerships with Wistron, Trend Micro (Magna AI), and TECO. SOC 2 and ISO 27001 certified with NVIDIA Reference Architecture Cloud Platform Partner designation.
GMI Cloud firmographics
Firmographics- Name
- GMI Cloud
- Legal name
- GMI Computing US Inc.
- Website
- https://gmicloud.ai
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Short description
- GMI Cloud is a Mountain View-based AI-native GPU cloud provider offering bare metal NVIDIA H100/H200/Blackwell compute, a 200+ model inference API (MaaS/AgentBox), and sovereign AI Factory deployments to 300+ AI startups, enterprises, and government clients globally.
- Ownership category
- akta.pro rank
GMI Cloud industry classification
Industry- Product category
- GPU Cloud Infrastructure
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computer Systems Design and Related Services (54151)
- SIC
- Services-Computer Integrated Systems Design (7373), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- AI Compute Virtualization & Scheduling (GPU virtualization, cluster schedulers) (HDAAAAAG)
- akta.pro secondary industries
- Hybrid Cloud Compute & Virtualization Stack (HCI/VMs/Kubernetes) (HDABAMAF), Hybrid & Multi-Cloud Orchestration (Private-Cloud-Centric) (HDABABAE), AI/ML Solution Integration & MLOps Enablement (BPAEAAAJ)
Keywords
Where GMI Cloud is headquartered
LocationHeadquarters
- HQ city
- Mountain View
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
GMI Cloud business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Infrastructure, Technology or R&D, Personnel, Operations, Marketing or Sales, Supply Chain
Revenue model
- GPU Compute Rental: Usage-based rental of NVIDIA H100 ($2.00/hr), H200 ($2.60/hr), B200 ($4.00/hr), GB200 ($8.00/hr) on both on-demand and reserved/committed tiers. Bare metal and container instance SKUs. Commitment-based pricing reduces unit GPU costs; usage-adaptive pricing flexes with workload maturity.
- Model-as-a-Service (MaaS) API: Token-based or per-request pricing for inference across 200+ models. Examples: Claude Opus 4.8 ($5.00/M input, $25.00/M output), GPT-5.5 ($5.00/M input, $30.00/M output), DeepSeek-V4-Flash ($0.098/M input, $0.196/M output), Gemini-3.5-Flash ($1.50/M input, $9.00/M output). Discounted pricing vs direct provider access.
- Enterprise / Long-term Capacity Contracts: Multi-year reserved capacity agreements, rent-to-own GPU infrastructure arrangements (customized contracts for startups like Mirelo AI), and sovereign AI infrastructure projects (e.g., $500M Taiwan AI Factory, $12B Japan sovereign AI initiative).
- Channel / Reseller Program: Reseller margin structure for partners reselling GMI Cloud GPU compute, inference, and cluster capacity; model provider monetization via integrated billing and usage-based revenue share for distributed model APIs.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Usage-based | Pay-as-you-go | NVIDIA H100 GPU - balanced performance for AI training and production inference |
| Usage-based | Pay-as-you-go | NVIDIA H200 GPU - high-memory for large-scale LLM workloads |
| Usage-based | Pay-as-you-go | NVIDIA B200 GPU - next-generation high-density AI clusters |
| Usage-based | Pay-as-you-go | NVIDIA GB200 NVL72 - high-bandwidth interconnect for cluster workloads |
| Usage-based | Multi-year contract | NVIDIA GB300 NVL72 - long-context, high-capacity model training |
| Usage-based | Pay-as-you-go | MaaS Token-Based API Pricing |
| Other | Pay-as-you-go | SCALE Startup Program Credits |
| Other | Monthly | Clouders Ambassador Program |
| Subscription | Multi-year contract | Committed / Reserved Capacity |
Go-to-market motion1 record
Distribution channels5 records
GMI Cloud product offering
Product offeringCore offering
GMI Cloud provides AI-native GPU cloud infrastructure combining serverless inference APIs, dedicated bare metal NVIDIA GPU clusters, and a unified model delivery layer across 200+ AI models. Its vertically integrated stack spans inference, orchestration, compute, and hardware layers to deliver production AI training and inference workloads with bare metal performance. Customers access the platform via a self-serve developer console, direct enterprise contracts, or channel partners for both SMB and sovereign/government deployments.
Differentiator
Problem solved
Functional benefit
Brands
- GMI Studio: Visual node-based platform enabling creators, agencies, and developers to build scalable AI content workflows without coding or GPU infrastructure management.
- AgentBox
- Model-as-a-Service (MaaS)
Products and services
- GPU Compute Rental (H100, H200, B200, GB200, GB300) Usage-based rental of dedicated NVIDIA GPUs (H100, H200, B200, GB200 NVL72, GB300 NVL72) on bare metal and container instance SKUs, available via on-demand and reserved/committed capacity tiers for AI training and production inference workloads.
- Model-as-a-Service (MaaS) Token-based and per-request API access to 200+ LLM, image, video, audio, and multimodal AI models through a single OpenAI-compatible endpoint, with KVcache reuse, scheduling, load planning, zero-retention configurations, and per-client customization. Targeted at AI developers and startups needing consolidated multi-model access.
- AgentBox Production AI agent platform where builders can publish AI agents and users can discover and deploy ready-to-use agents, providing the full stack for production AI agents including Docker-based deployment, on-network inference routing, zero idle cost, and centralized billing for 200+ models. Used by Morphic, TinyHumans, Topify, and others.
- GMI Studio Visual, node-based AI workflow orchestration platform enabling creators, agencies, and developers to build scalable AI content workflows (text-to-video, image generation, multimodal) without coding or managing GPU infrastructure, with multi-model orchestration, parallel execution across GPUs, versioned workflows, RBAC, and dedicated GPU infrastructure.
- Cluster Engine Kubernetes-based GPU cluster orchestration platform supporting bare metal servers, container services, and managed multi-node clusters. Deployable as standalone infrastructure platform or via BYOS on customer environments, with auto-scaling and load balancing.
- Sovereign AI Factory Deployment Globally distributed sovereign AI Factories using NVIDIA Vera Rubin NVL72 architecture with hardware-level data protection, multi-region deployment (US, APAC, EU), and infrastructure designed for government and national AI program requirements. Initial deployments include Taiwan ($500M AI Factory), Japan ($12B initiative, 1GW), Malaysia, Belgium, Romania, and Middle East/Africa via Magna AI partnership.
Quantifiable outcome
- 45% lower compute costs and 65% reduction in inference latency for Higgsfield generative video workloads
- +7 more outcomes
Companies that use GMI Cloud
Customer profileNamed customers15 records
Ideal customer profiles3 records
GMI Cloud technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration37 records
Feature8 records
GMI Cloud partnerships and signals
Strategic signalPartnerships
15 partnerships are on record, tiered flagship, strategic, minor and core.
- Magna AI Inc.flagshipStrategic partnership to jointly architect, deploy, and scale a global network of sovereign AI Factories (AIFs) using NVIDIA Vera Rubin NVL72 architecture. Initial deployments planned in Malaysia, Belgium, and Romania; expansion to Middle East and Africa. Magna AI is a new sovereign AI company formed through partnership between Trend Micro and Wistron Digital Technology Holding Company.
- Trend Micro (TrendAI)flagshipTrendAI Inception Program partner providing AI startups with technical enablement, cybersecurity validation, and GTM support. Includes AI Red/Purple Teaming services, six months of free access to TrendAI Vision One™ AI Security, and co-marketing opportunities. GMI Cloud and Ontonics Lab are early partners.
- AWSstrategicNamed as a supporting partner alongside GMI Cloud in the TrendAI Inception Program initiative to help AI startups build secure-by-design AI products.
- Ontonics Lab Co.minorEarly partner alongside GMI Cloud in the TrendAI Inception Program for AI startups. Hardening AI platforms before market entry.
- Compal Electronics Inc.coreCollaboration announced May 27, 2026. Compal supplies high-performance GPU server platforms (including SGX30-2 supporting NVIDIA HGX B300) and systems integration for GMI Cloud's AI-native inference cloud services. Targeted at production-grade AI infrastructure for large-scale inference and agentic AI workloads. To be showcased at COMPUTEX 2026.
- NVIDIA Inception ProgramflagshipBacks GMI Cloud's SCALE startup program. Provides infra and compute sponsorship, acceleration support, and ecosystem enablement for participating AI startups.
- Reflection AIflagshipStrategic collaboration announced November 20, 2025. Reflection AI leverages GMI Cloud's U.S.-based GPU clusters for training next-generation open AI models. Both companies explore broader opportunities in AI Factory and sovereign AI initiatives. Reflection AI raised $2B at $8B valuation.
- Inworld AIcoreEcosystem/Model Provider Partner offering voice AI infrastructure (TTS, speech-to-speech, orchestration) via GMI Cloud's distribution. $100 credits per founder, up to $300 for engaged teams. Joint GTC booth presence and demo day showcases.
- VAST DatacoreProvides exabyte-scale storage infrastructure for the $500M Taiwan AI Factory. Storage supports model training, inference, and real-time data processing for GMI Cloud's deployment of 7,000 NVIDIA Blackwell GPUs.
- TECO Electric & MachinerycorePartner for the $500M Taiwan AI Factory. TECO is one of the deployment partners (alongside Trend Micro, Wistron, and VAST Data) announced at the Taiwan AI Factory launch event.
- Wistron Digital Technology Holding CompanyflagshipHardware manufacturing partner for sovereign AI Factories, including the Kagoshima AI Factory in Japan and the global Magna AI network. Combined with Trend Micro cybersecurity expertise to form Magna AI.
- RhominorEvent Partner for GMI Cloud's SCALE startup program. Provides event coordination and ecosystem support.
- 57blocksminorServices & Enablement Layer partner in SCALE program, providing advisory and implementation services to AI startups.
- Newport AIminorCommunity Partner in SCALE program, contributing to startup ecosystem building.
- Composio
Scale indicators13 records
Recent moves9 records
Expansion highlights6 records
GMI Cloud competitors and assessment
Company assessmentDirect peers
- CoreWeave: AI-focused GPU cloud provider offering NVIDIA H100/H200/Blackwell bare-metal and containerized instances for AI training and inference. Closest direct competitor to GMI Cloud in the AI-native GPU cloud category, with similar customer base (AI startups, generative media companies) and NVIDIA Reference Architecture foundation.
- Lambda Labs: GPU cloud provider specializing in AI/ML workloads with NVIDIA H100/H200/B200 clusters, offering on-demand and reserved capacity plus GPU workstations. Directly comparable to GMI Cloud's bare-metal GPU rental and dedicated cluster offerings.
- Together AI: AI cloud platform providing serverless inference, dedicated GPU clusters, and fine-tuning across 200+ open-source models. Directly competes with GMI's MaaS offering and inference-optimized cloud positioning.
- Crusoe Energy: GPU cloud provider leveraging stranded/renewable energy for AI compute, offering NVIDIA GPU clusters for AI training and inference. Comparable to GMI's energy-aligned positioning and Banpu Next strategic investment thesis.
- Nebius: AI infrastructure company operating NVIDIA GPU clusters across data centers in Europe, US, and Israel with full-stack AI cloud services. Comparable vertically integrated AI cloud offering targeting startups and enterprises with sovereign data residency.
- Fireworks AI: Inference-optimized AI platform providing serverless and dedicated deployment of open-source and proprietary LLMs with custom fine-tuning. Competes directly with GMI's AgentBox and MaaS inference layer for production AI workloads.
- RunPod: GPU cloud platform offering on-demand and serverless GPU instances for AI/ML workloads with container-based deployment. Competes with GMI Cloud's PLG/self-serve developer console motion targeting AI developers and small teams.
- Fluidstack: AI cloud provider operating large-scale GPU supercomputers for AI training, with sovereign AI deployments for governments. Comparable to GMI's sovereign AI Factory deployments and large-scale GPU cluster orchestration capabilities.
Broad incumbents
- Amazon Web Services (AWS): Hyperscale cloud provider with extensive NVIDIA GPU instance offerings (P5, P4d, G5) for AI training and inference. Largest incumbent GMI Cloud competes against on cost and specialization; named TrendAI Inception Program partner alongside GMI.
- Oracle Cloud Infrastructure: Hyperscale cloud provider with NVIDIA GPU clusters; explicitly referenced as the incumbent GMI Cloud displaces at Trend Micro, highlighting competitive overlap in AI infrastructure for enterprise workloads.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
GMI Cloud social profiles
Digital presenceGMI Cloud financial estimates
Financial estimateRevenue estimate
Valuation estimate
GMI Cloud leadership team
Management profileNumber of profiles
Profiles12 records
GMI Cloud subsidiaries and ownership
Company hierarchySubsidiaries1 record
GMI Cloud funding detail
Funding detailFunding overview
Funding rounds4 records
Investors5 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
GMI Cloud M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about GMI Cloud
What does GMI Cloud do?
GMI Cloud provides AI-native GPU cloud infrastructure combining serverless inference APIs, dedicated bare metal NVIDIA GPU clusters, and a unified model delivery layer across 200+ AI models. Its vertically integrated stack spans inference, orchestration, compute, and hardware layers to deliver production AI training and inference workloads with bare metal performance. Customers access the platform via a self-serve developer console, direct enterprise contracts, or channel partners for both SMB and sovereign/government deployments.
Is GMI Cloud a public or private company?
GMI Cloud is a private company. It is classified as venture growth investor backed and is currently operating.
When was GMI Cloud founded?
GMI Cloud was founded in 2023. It employs 101 to 250 people.
Where is GMI Cloud based?
GMI Cloud is headquartered in Mountain View, United States, in the North America region.
How does GMI Cloud make money?
Four revenue lines are on record. GPU Compute Rental is the primary driver. The others are model-as-a-Service (MaaS) API, enterprise / Long-term Capacity Contracts and channel / Reseller Program.
Who are GMI Cloud's main competitors?
Direct peers on record are CoreWeave, Lambda Labs, Together AI, Crusoe Energy, Nebius, Fireworks AI, RunPod and Fluidstack. Broad incumbents are Amazon Web Services (AWS) and Oracle Cloud Infrastructure.
Does GMI Cloud have an API?
Yes. GMI Cloud offers a public, OpenAI-compatible Chat Completions API and an Anthropic Messages API for accessing 200+ LLM, image, video, audio, and multimodal AI models through a single unified endpoint (https://api.gmi-serving.com/v1). Developers can use the API for inference, fine-tuning, streaming, multi-model agent routing via AgentBox, function/tool calling, and deployment via serverless, dedicated, or BYOS endpoints. Authentication via Bearer token; supports Fable 5, Opus 4.8, Sonnet 4.6, Haiku 4.5, GLM-5.2-FP8, DeepSeek-V4-Flash, and more. Compatible with Claude Code, OpenCode, Cline, Roo Code, Goose, and OpenClaw via simple base URL swap. Developer documentation is at docs.gmicloud.ai.
What industry is GMI Cloud in?
GMI Cloud's product category is GPU Cloud Infrastructure. Its primary akta.pro industry code is HDAAAAAG, AI Compute Virtualization & Scheduling (GPU virtualization, cluster schedulers), with a secondary code of HDABAMAF, Hybrid Cloud Compute & Virtualization Stack (HCI/VMs/Kubernetes). Its NAICS code is 5182 and its SIC code is 7373.