Enterprise
AAI delivers enterprise-scale compute through a single independent partner, uniting power and global capacity into one reliable infrastructure layer without hyperscaler limits.
Learn MoreGlobal AI infrastructure, built to execute at enterprise scale.
Live and contracted compute capacity across a truly global network of data centers, designed for secure, high-performance AI workloads.
15+ countries with live or contractually secured capacity
Enterprise data centers across 4+ continents
15+ countries with live or contractually secured capacity
Enterprise data centers across 4+ continents
Marketplace
Argentum AI connects fragmented global compute capacity into a single marketplace, making it easier to access and scale compute for AI and other high-performance workloads.
Learn MoreWhen Power Becomes the Limit, Architecture Becomes the Advantage
One powerful platform. Two ways to access global compute.
Choose the marketplace for speed or the enterprise layer for long-term scale.
The new way to scale enterprise compute
One Partner.
Enterprise Compute.
Anywhere It Exists.
Access global GPU and power capacity through a single independent control plane, built for long-term contracts, predictable performance, and hyperscaler-grade execution without lock-in.
Designed for large-scale, multi-site AI deployments where capacity, power, and delivery timelines matter.
From fragmentation
to control
Compute capacity is tightening. Power — not GPUs — is now the binding constraint.
As demand accelerates, long-term dependency on a small number of hyperscalers is becoming the default — and the risk.
Beyond the hyperscalers, global GPU and power capacity exists. But it is fragmented, uneven, and impossible to rely on at enterprise scale.
Until now.
Argentum AI turns independent global compute into a single, enterprise-grade infrastructure layer.
Capacity is power-backed, contractually secured, and operated to a common standard — delivered through one accountable partner.
We transform fragmented supply into reliable, production-grade capacity that enterprises can plan, deploy, and scale against with confidence.
Not a marketplace. An enterprise control plane for global compute.
What We Do
Global power
at enterprise scale
Power-backed,
not promise-based
Argentum AI secures enterprise compute capacity against real, available power - not theoretical availability.
We contract, standardize, and operate GPU infrastructure through long-term, enterprise-grade agreements, delivered via a single control plane.
Capacity is allocated deliberately, aligned to workload requirements and timelines, and backed by accountable operations.
Instead of juggling providers, contracts, and availability risk, teams get predictable, power-secured capacity they can plan and scale against with confidence.
When power becomes the constraint, architecture becomes the advantage.
Core features
The cloud isn't the constraint.
Power - and control - are.
Power- backed capacity
Capacity secured against real, available power - not theoretical availability - across global sites.
Long-term capacity contracts
Contracted capacity aligned to sustained workloads, delivery timelines, and enterprise planning cycles.
Allocation & orchestration control
Intelligent, real-time allocation across sites - governed by workload requirements, not spot availability.
Standardized operations layer
One operational standard across all providers - covering deployment, monitoring, lifecycle, and support.
Enterprise procurement alignment
One contract, one SLA, one accountable counterparty - regardless of how many sites sit underneath.
Infrastructure- grade, asset- light
Enterprise scale without owning the hardware.
How it works - at enterprise scale
Inside the AAI
platform
Built for mission-critical AI workloads
Deterministic capacity. Accountable operations. Enterprise control.
outcomes -> trust
Argentum AI is designed for workloads where failure, contention, or unpredictability is not acceptable.
Capacity is matched deliberately to workload requirements, allocated in real time, and governed by enforceable policies - not best-effort availability.
Enterprises get deterministic performance, workload isolation, and measurable SLAs across the full lifecycle of training, inference, and HPC execution.
capabilities -> proof
- Real-time allocation and orchestration across global sites
- Kubernetes and Slurm support for AI, ML, and HPC workloads
- Multi-tenant isolation with enterprise-grade encryption
- Policy-driven governance, quotas, and access control
- Performance monitoring, SLA enforcement, and utilization optimization
- Capacity planning and benchmarking aligned to delivery timelines
A growing, enterprise-grade infrastructure network
All capacity is contracted, standardized, and operated under Argentum's control plane - regardless of provider.
+95 more
Live supply.
Live demand.
Live contracts.
200,000+ GPUs available now =
200MW of power capacity accessible
Figures reflect active supply under management across multiple contract states.
Capacity is deployed, reserved, or contractually secured across global sites - aligned to delivery timelines and workload requirements.
Built for mission-critical AI workloads
Deterministic capacity. Accountable operations. Enterprise control.
outcomes -> trust
Argentum AI is designed for workloads where failure, contention, or unpredictability is not acceptable. Capacity is allocated in real time and governed by enforceable policies.
capabilities -> proof
- Real-time allocation and orchestration across global sites
- Kubernetes and Slurm support for AI, ML, and HPC workloads
- Multi-tenant isolation with enterprise-grade encryption
- Policy-driven governance, quotas, and access control
- Performance monitoring, SLA enforcement, and utilization optimization
- Capacity planning and benchmarking aligned to delivery timelines
A growing, enterprise-grade infrastructure network
All capacity is contracted, standardized, and operated under Argentum's control plane.
+95 more providers
Live supply. Live demand. Live contracts.
200,000+ GPUs available now = 200MW of power capacity accessible
Figures reflect active supply under management across multiple contract states.
Capacity is deployed, reserved, or contractually secured across global sites - aligned to delivery timelines and workload requirements.
REAL-WORLD IMPACT
Built for organizations where compute is critical infrastructure
- Fortune 500 and global enterprises operating internal AI platforms
- Central infrastructure and platform engineering teams
- AI research labs and advanced compute users
- AI-native companies scaling beyond cloud credits
- Universities and public sector institutions
- Sovereign and national AI programs in emerging markets
Ready to secure long-term, enterprise AI capacity?
Discuss your capacity requirements with our team
We engage on long-term, production-grade deployments.
Enterprise Level Ready
AI-Powered Compute Marketplace.
High Security. Cross-border compute
New tasks for today
About
/01The Platform
Argentum AI (AAI) is an open, human-centric marketplace for computing power, enhanced by artificial intelligence for efficiency and fairness.
The Task
It connects people who need computational resources with those who have capacity to spare, creating a global exchange for tasks like AI training, 3D rendering, and scientific simulations.
The Way
Through blockchain-based transparency and an AI advisor that learns from every task, AAI ensures lower costs, open access, and continuously improving performance for all users.
Join the waiting list to be the first to know about the launch
Join Waitlist
Features
/02
Human-AI
Synergy
The platform is built on human insight enhanced by AI. Users define task requirements and make key decisions, while an AI assistant continuously learns from completed jobs to recommend optimal resource matches and pricing. This collaboration ensures that AI amplifies human decision-making instead of replacing it, leading to smarter and faster outcomes over time.
Open
Marketplace
Argentum AI connects those who need computing power with providers offering spare capacity through a decentralized, real-time bidding platform. This approach replaces reliance on single cloud vendors with a transparent network where computing tasks are openly published and multiple providers compete to execute them at competitive rates.
Big Data Analysis
Computer Vision
Natural Language Processing
Data Visualization
Reinforcement Learning
AI Models
Rendering Graphics
Predictive Analytics
...
Versatile
Compute Services
AAI supports diverse workloads – from training AI models and rendering graphics to big data analysis and scientific simulations – by leveraging a global pool of computing resources for any scale of task. Whether it's an individual with one idle GPU or a data center with thousands, all can participate, expanding capacity for every use case.
Advantages
/03
Open Access
The platform is open to everyone – from individual tech enthusiasts with a single GPU to large data centers – with no gatekeepers to entry. This openness means more diverse resources and contributors, fostering innovation and ensuring even small players can access affordable compute power.
Transparent & Fair
Every task, bid, and outcome is recorded on an open blockchain ledger, ensuring full transparency and trust in the marketplace. No single provider can monopolize the market, as participants compete on performance and reputation under community-driven rules – creating a level playing field for all sizes of contributors.
Continuous Optimization
AAI's AI benchmark engine constantly learns from each completed task, improving matchmaking and performance estimates for future jobs. This dynamic benchmarking means the system gets smarter over time, helping users avoid overpaying or misconfiguring tasks and rewarding providers for efficient service.
Lower Costs
By enabling competitive bidding and tapping into idle capacity worldwide, AAI drives down prices for computation jobs compared to traditional cloud providers. Requesters benefit from vastly lower costs and faster turnaround times, while providers earn by monetizing otherwise unused computing power in a win–win model.
Roadmap
/04
Phase I
Manual Launch
Clients submit a compute task (e.g. training an AI model or rendering a video) with requirements and a deadline. The request is published in the marketplace so providers worldwide can see it.
Phase II
AI-Assisted Automation
As the network grows, AAI introduces intelligent agent support for matchmaking and task management. The AI begins automatically pairing tasks with optimal providers in real time, speeding up job completion and balancing price–performance. Reputation and validation systems are implemented to maintain trust as automation increases.
Phase III
Seamless API Integration
In the final phase, AAI becomes a plug-and-play cloud service. Third-party applications will stream tasks to the network via APIs, and AAI distributes them to providers behind the scenes. This integration enables developers to tap into decentralized compute power directly from their software, making AAI a scalable, on-demand infrastructure layer for global use.
TEAM
/05
CEO
ANDREW SOBKO
Andrew Sobko is a serial entrepreneur with a background in building transformative marketplaces.
MANAGING PARTNER
NUNO PEREIRA
Nuno Pereira drives global commercialization of decentralized GPU compute for AI, expanding partnerships with GPU operators, data centers, and telcos, and accelerating enterprise and sovereign adoption.
BOARD MEMBER
MAJED AL SOROUR
Majed Al Sorour is CEO of Golf Saudi, former CEO of LIV Golf, and President of the Saudi Arabian Golf Federation.
TECH LEAD
YURIY SNIGUR
System integration developer, business process analyst and marketer with more than 10 year-long experience.
ARCHITECT
VLADYSLAV HALASIUK
Product developer, 10 years on market, specialized in building architecture of decentralized data storages, exchanges and calculation systems.
CHIEF AI OFFICER
CLARK ALEXANDER
Clark is an accomplished mathematician with a wealth of experience in academics and industry.
CMO
NIK ENTWISTLE
Nik Entwistle is a CMO and growth leader with 25+ years of global brand experience.
ADVISORS & EARLY INVESTORS
SAM AWRABI
Sam Awrabi is the Founder and Solo GP of Banyan Ventures, a $19M AI-native VC firm.
NICHOLAS SAMMUT
Nick is a 15+ year institutional investor in private credit, equity, and venture capital.
Todd E. Benson
Todd E. Benson is Managing Partner & CEO of Herington LLC, investing, advising, and serving on boards of LBO, venture, and growth-equity firms such as FEVO, FSG, Gold, Inc., Sharebite, and funds including Bullish and Star Mountain Capital.
KRAKEN
Kraken is one of the world’s largest and most trusted cryptocurrency exchanges, known for strong security, compliance, and reliable execution.
VICTOR MORGENSTERN
Victor Morgenstern is a veteran investor with 40+ years across public markets, private equity, and early-stage ventures.
FAQ
/06Anyone with computational resources or needs can join. AAI is designed to be open: individuals with a single GPU, researchers, startups, and large companies are all welcome to participate. Providers simply run the AAI node software to offer their hardware, and requesters can post jobs via the platform – there are no gatekeepers or special permissions required.
Careers
/7Senior Software Engineer, Data Acquisition
Type: Full-time
Senior Research Engineer / Scientist — Multimodal & Future of Computing
Type: Full-time
Senior Director, Head of Global Revenue Accounting
Type: Full-time
Senior Learning & Development Program Manager
Type: Full-time
Senior Support Engineer (Enterprise & Strategic Clients)
Type: Full-time
Senior Economist (AI & Open Market Dynamics)
Type: Full-time
Senior Talent & Performance Program Manager
Type: Full-time
Senior Recruiter, Government & Regulated Markets
Type: Full-time
Senior Director, Infrastructure & Compute Strategy
Type: Full-time