Qubrid AI
- Company typePrivate
- Founded2024
- HeadquartersMclean, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
Qubrid AI firmographics
Firmographics- Name
- Qubrid AI
- Legal name
- Qubrid, Inc.
- Website
- https://qubrid.com
- Company type
- Private
- Founded year
- 2024
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Ownership category
- akta.pro rank
Qubrid AI industry classification
Industry- Product category
- AI Cloud Infrastructure
- NAICS
- Computer Systems Design and Related Services (54151), Computer Systems Design Services (541512)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)
- akta.pro secondary industries
- GPU-Accelerated & AI Training/Inference Servers (HDACABAG), AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ), AI Compute Virtualization & Scheduling (GPU virtualization, cluster schedulers) (HDAAAAAG)
Keywords
Where Qubrid AI is headquartered
LocationHeadquarters
- HQ city
- Mclean
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Qubrid AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Infrastructure, Personnel, Marketing or Sales, Operations
Revenue model
- Serverless API Inference: Pay-per-use token-based pricing for AI model inference via serverless APIs. Users pay based on input/output tokens processed with no infrastructure management required.
- GPU Virtual Machine Rentals: On-demand GPU compute rentals with per-hour billing (e.g., H100 at $3.83/hr, H200 at $4.55/hr, B200 at $5.63/hr). Supports auto-stop for cost savings and configurable storage.
- Bare Metal Servers: Dedicated NVIDIA HGX infrastructure (B300, B200, H200, H100, A100) with annual pricing for large-scale training and inference workloads. Multi-year contracts available.
- Managed GPU Infrastructure Hosting: Customer-owned GPU hardware hosted and operated by Qubrid with full NVIDIA stack management, 24/7 monitoring, and AI platform support. Tier III+ data center with SOC Type 2 compliance.
- AI Appliances: Pre-built turnkey AI systems certified for production workloads including hardware procurement, deployment, and remote bring-up services. Average deployment time 7-10 business days.
- AI/ML Templates: Pre-configured AI environments (ComfyUI, DeepSeek, Llama, PyTorch, TensorFlow, etc.) for rapid deployment with popular frameworks preinstalled.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Usage-based | Pay-as-you-go | NVIDIA Nemotron 3 Super 120B - Serverless API |
| Usage-based | Pay-as-you-go | MiniMax M2.7 - Serverless API |
| Usage-based | Pay-as-you-go | MiniMax M3 - Serverless API |
| Usage-based | Pay-as-you-go | Qwen3.7 Plus - Serverless API |
| Usage-based | Pay-as-you-go | Qwen3.7 Max - Serverless API |
| Usage-based | Pay-as-you-go | Qwen3.6 Plus - Serverless API |
| Usage-based | Pay-as-you-go | NVIDIA H100 80GB VM |
| Usage-based | Pay-as-you-go | NVIDIA H200 141GB VM |
| Usage-based | Pay-as-you-go | NVIDIA B200 180GB VM |
| Subscription | Annual | NVIDIA H100 80GB 8-GPU Bare Metal Server |
| Subscription | Annual | NVIDIA H200 141GB 8-GPU Bare Metal Server |
| Subscription | Annual | NVIDIA B200 180GB 8-GPU SXM Server |
| Subscription | Annual | NVIDIA B300 288GB 8-GPU Bare Metal Server |
| Subscription | Annual | NVIDIA A100 80GB 8-GPU SXM Server |
Go-to-market motion2 records
Distribution channels6 records
Marketing channels7 records
Qubrid AI product offering
Product offeringCore offering
Qubrid AI operates an open, inference-first full-stack AI platform that provides serverless API inferencing across 40+ open-source models, on-demand NVIDIA GPU virtual machines (H100, H200, B200), bare-metal GPU servers, and managed AI infrastructure hosting. The platform also offers a no-code Model Studio for fine-tuning, a multimodal RAG pipeline, and pre-configured AI/ML templates for developers and enterprises building production AI workloads.
Product overview
Qubrid AI is an open, inference-first full-stack AI platform offering a unified environment for compute, inference, fine-tuning, and RAG on open-source models. The core platform provides three deployment tiers: Serverless API Inferencing (pay-per-token, no infrastructure management), GPU Virtual Machines (on-demand NVIDIA H100/H200/B200 instances with pre-configured AI/ML templates), and AI Factory (bare-metal and managed hosting for enterprise-scale GPU clusters). Built on top of the core platform, AI Model Studio provides no-code fine-tuning, a Model Playground for experimentation, AI Search documentation assistant, and an RAG pipeline for knowledge retrieval — all accessible via a single OpenAI-compatible API. Professional solutions include Enterprise OCR & RAG (document intelligence), AI Automation & Workflows (orchestration), Custom Built AI Agents for Production (autonomous agents), Clinical & Research Analysis, and AI-Powered Marketing & Prospect Outreach. Supporting products include AI/ML Templates (18 pre-configured environments), AI Appliances (turnkey hardware), and Managed GPU Infrastructure Hosting. The platform integrates with developer tools (Zed, VS Code, Cursor, Claude Code, Open WebUI, Hermes, OpenClaw) and supports Hugging Face model deployment via BYOM.
Differentiator
Problem solved
Functional benefit
Products and services
- Serverless API Inferencing Run powerful open-source AI models (Qwen, DeepSeek, Llama, Nemotron, GLM, Kimi, MiniMax) via simple OpenAI-compatible APIs without managing infrastructure. Pay-per-token pricing for production AI inference workloads for developers and enterprise AI teams.
- GPU Virtual Machines On-demand, scalable NVIDIA GPU compute instances (H100 at $3.83/hr, H200 at $4.55/hr, B200 at $5.63/hr) with pre-configured AI/ML templates, SSH root access, configurable NVMe storage, and auto-stop functionality for fine-tuning, dedicated inference, and custom AI workloads.
- Bare Metal Servers Dedicated NVIDIA HGX infrastructure (B300, B200, H200, H100, A100 8-GPU configurations) with annual pricing for large-scale training and inference workloads, available with multi-year contracts and managed deployment support.
- AI Factory (Bare-Metal & Managed Hosting) Bare-metal GPU infrastructure and managed AI inference hosting for enterprise-scale workloads including reserved GPU clusters up to thousands of GPUs, full NVIDIA stack management, 24/7 operations, and co-management options for customer-owned hardware in NVIDIA Certified Data Centers.
- Managed AI Inference & GPU Infrastructure Hosting Managed hosting and operations service for customer-owned GPU infrastructure. Qubrid handles facility hosting, networking, security, 24/7 monitoring, firmware management, and day-to-day operations in Tier III+ NVIDIA Certified Data Centers with SOC Type 2 compliance and 99.97% uptime SLA.
- AI Appliances Pre-built turnkey AI workload environments certified for production workloads. Includes pre-configured GPU servers with burn-in testing, same-day validation, priority dispatch, remote onsite deployment, and inference/training live within an average of 7-10 business days.
- AI/ML Templates Pre-configured AI environment templates (18 templates) preloaded with popular frameworks such as PyTorch, TensorFlow, ComfyUI, DeepSeek R1, Llama, Qwen, Gemma, GPT OSS, Langflow, n8n, Ubuntu, and VS Code, enabling instant launch of GPU-accelerated development environments.
- Enterprise OCR & RAG Professional solution for converting complex documents into structured, searchable knowledge with high-accuracy OCR and scalable RAG pipelines. Built for large volumes, domain-specific data, and production AI workloads, featuring multi-format OCR, layout-aware parsing, and RAG-ready JSON/markdown outputs.
- AI Automation & Workflows Professional solution for designing, running, and scaling automated AI workflows across models, tools, and data sources with reliable orchestration. Features multi-step pipelines, model routing and fallbacks, event-driven automation, and batch plus real-time processing.
- Custom Built AI Agents for Production Professional solution for designing, deploying, and scaling intelligent AI agents that plan, reason, call tools, and execute multi-step tasks. Features multi-model agent stacks, tool and API calling, memory and RAG integration, step tracing, workflow orchestration, and production deployment on dedicated GPU infrastructure.
- Clinical & Research Analysis Professional solution for accelerating clinical and research workflows with AI-powered document analysis, data extraction, and knowledge retrieval. Features medical document OCR, research paper parsing, domain-tuned models, batch processing, and traceable AI pipelines.
- AI-Powered Marketing & Prospect Outreach Professional solution for automating prospect research, personalization, and outreach workflows using AI models and scalable inference. Features AI prospect research, personalized outreach generation, multi-channel content creation, workflow automation, model routing by task, and batch processing.
- Fine-Tuning Service No-code model fine-tuning service enabling customization of text and code generation models using proprietary data for domain-specific tasks such as Q&A, customer support, summarization, and classification. Supports GPU selection (1/4/8 GPUs), LoRA rank, quantization, and CSV-based dataset upload.
Quantifiable outcome
- Reduced document processing time by over 60% with improved retrieval accuracy across RAG workflows
- +4 more outcomes
Companies that use Qubrid AI
Customer profileNamed customers16 records
Segments6 records
Ideal customer profiles5 records
Qubrid AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration8 records
AI capability14 records
Feature8 records
Qubrid AI partnerships and signals
Strategic signalPartnerships
Two partnerships are on record, tiered core.
- NVIDIAcoreNVIDIA partnership enables Qubrid's AI platform with TensorRT optimization, CUDA Toolkit, and Triton for inference acceleration. Qubrid operates as an NVIDIA partner providing enterprise-grade GPU infrastructure hosting. NVIDIA Certified Data Centers available in Qubrid's network for dedicated GPU server deployments.
- SupermicrocoreSupermicro provides GPU server hardware (HGX systems) deployed through Qubrid's managed infrastructure hosting. Qubrid coordinates directly with Supermicro for OEM pricing and delivery timelines.
Scale indicators4 records
Recent moves6 records
Expansion highlights6 records
Qubrid AI competitors and assessment
Company assessmentDirect peers
- CoreWeave: Largest independent GPU cloud provider offering NVIDIA H100/H200/B200 bare metal, virtual servers, and managed AI infrastructure. CoreWeave is the closest direct competitor in the AI GPU cloud category, with overlapping customer base and product tiers from on-demand VMs to dedicated clusters.
- Lambda: GPU cloud and AI workstation company providing on-demand NVIDIA GPU instances, reserved clusters, and private cloud for AI training and inference. Lambda directly competes with Qubrid across self-serve GPU VMs and enterprise bare metal deployments.
- Together AI: AI cloud platform focused on open-source model inference and fine-tuning with serverless APIs and dedicated GPU clusters. Together AI competes head-to-head on the open-model inference layer that is Qubrid's core wedge.
- Fireworks AI: Serverless inference API provider for open-source and fine-tuned models with focus on low-latency production deployment. Direct overlap with Qubrid's serverless API product and target developer customer.
- RunPod: GPU cloud platform offering on-demand GPU VMs, serverless endpoints, and AI APIs targeting developers and small-to-mid enterprises. Similar self-serve PLG motion and entry-level developer pricing.
- Modal Labs: Serverless compute platform purpose-built for AI workloads with GPU-backed functions and a developer-first API. Comparable target audience (AI developers) and pricing model.
- Paperspace (DigitalOcean): GPU cloud provider (now part of DigitalOcean) offering virtual machines, notebooks, and inference endpoints on NVIDIA hardware. Comparable self-serve GPU VM product and developer target.
Emerging players
- Anyscale: Creator of Ray and managed AI compute platform offering scalable training, serving, and inference infrastructure. Overlaps with Qubrid on enterprise AI infrastructure but emphasizes Ray-based distributed compute.
- Crusoe: Vertically integrated GPU cloud provider operating its own data centers optimized for AI workloads, including a major deal with NVIDIA. Competes on dedicated NVIDIA GPU capacity for AI training and inference at enterprise scale.
Broad incumbents
- Amazon Web Services (EC2 P5/P4d instances, Bedrock, SageMaker): Hyperscale cloud with GPU-accelerated EC2 instances (H100, H200), Bedrock managed model serving, and SageMaker MLOps. Represents the largest incumbent threat and a partnership counterparty for Qubrid.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks7 records
Key highlights7 records
Customer concentration
Qubrid AI social profiles
Digital presenceQubrid AI compliance and trust
Trust signalCompliance1 record
Qubrid AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Qubrid AI leadership team
Management profileNumber of profiles
Profiles1 record
Qubrid AI funding detail
Funding detailFunding overview
Funding rounds1 record
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Qubrid AI 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 Qubrid AI
What does Qubrid AI do?
Qubrid AI operates an open, inference-first full-stack AI platform that provides serverless API inferencing across 40+ open-source models, on-demand NVIDIA GPU virtual machines (H100, H200, B200), bare-metal GPU servers, and managed AI infrastructure hosting. The platform also offers a no-code Model Studio for fine-tuning, a multimodal RAG pipeline, and pre-configured AI/ML templates for developers and enterprises building production AI workloads.
Is Qubrid AI a public or private company?
Qubrid AI is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Qubrid AI founded?
Qubrid AI was founded in 2024. It employs 11 to 50 people.
Where is Qubrid AI based?
Qubrid AI is headquartered in Mclean, United States, in the North America region.
How does Qubrid AI make money?
Six revenue lines are on record. Serverless API Inference is the primary driver. The others are GPU Virtual Machine Rentals, bare Metal Servers, managed GPU Infrastructure Hosting, AI Appliances and AI/ML Templates.
Who are Qubrid AI's main competitors?
Direct peers on record are CoreWeave, Lambda, Together AI, Fireworks AI, RunPod, Modal Labs and Paperspace (DigitalOcean). Emerging players are Anyscale and Crusoe. Amazon Web Services (EC2 P5/P4d instances, Bedrock, SageMaker) is listed as a broad incumbent.
Does Qubrid AI have an API?
Yes. Qubrid AI provides a serverless inference API accessible via a unified OpenAI-compatible endpoint at https://platform.qubrid.com/v1, supporting both REST API calls and streaming responses. The API enables developers to run hosted text, code, vision, and OCR models with no infrastructure to deploy, pay-per-use scaling, and OpenAI-compatible client libraries. SDKs are provided in Python, JavaScript, Go, and Java. Docker and Kubernetes support is available for enterprise containerized deployments. Developer documentation is at docs.platform.qubrid.com.
What industry is Qubrid AI in?
Qubrid AI's product category is AI Cloud Infrastructure. Its primary akta.pro industry code is HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management), with a secondary code of HDACABAG, GPU-Accelerated & AI Training/Inference Servers. Its NAICS code is 54151 and its SIC code is 7372.