Monarch Early Access
Access and manage powerful GPUs.
Introducing Monarch, a unified platform that abstracts the entire AI model lifecycle—training, fine-tuning, deployment, and cost optimization—into one seamless system. Designed for researchers, startups, and enterprises, it lets teams move from dataset to deployed intelligence using a single intuitive API.
Why Monarch?
Today, AI teams waste time managing fragmented infrastructure, cloud accounts, and toolchains. Monarch eliminates that friction. Through one API and dashboard, teams can launch, monitor, and optimize model training directly—no DevOps, no cluster management. Every job is cost-estimated, region-optimized, and tracked from dataset ingestion to inference endpoint.
One of Monarch’s core strengths is real-time GPU resource discovery. By combining cloud optimization, spot recovery, and live-rate billing, Monarch typically operates 20–40% below major cloud providers’ on-demand rates and up to 60% lower on spot workloads.
Monarch’s runtime automatically selects the optimal hardware configuration for your workload and executes training with built-in budget controls, checkpointing, and distributed scaling. Fine-tuning, scratch training, and multi-node orchestration are all natively supported.
Instead of configuring compute, you define intent: the model, the dataset, and your parameters. Monarch handles everything else—data tokenization, resource allocation, job recovery, monitoring, and artifact versioning—returning a ready-to-deploy model with full transparency.
How To Start?
Getting started is simple. Sign up for early access to receive your secure API key and begin using Monarch’s GPU infrastructure immediately. Capacity during the early access phase is limited, so priority will be given to teams with workloads aligned to our initial launch objectives.
With your API key, you can access Monarch through straightforward REST calls. Every query returns up-to-date information on available GPUs, including type, memory, region, and pricing. Monarch’s consistent schema eliminates guesswork and complexity, allowing you to focus on building, training, and deploying—rather than managing infrastructure.
Monarch’s API not only returns basic GPU details, it provides comprehensive specifications including GPU type, memory capacity, geographic region, instance class, and precise on-demand and spot pricing. This ensures that every decision you make is fully informed, eliminating guesswork and maximizing cost-efficiency.
In summary:
Sign Up for Access: You'll receive an API key upon joining the early access program.
Make API Requests: Use a simple REST API to query available GPUs and their specifications.
Compare Options: See pricing and specs side-by-side to make informed decisions.
Select Your Resources: Choose the best GPU option for your specific workload.
With flexible pricing tiers tailored to individual researchers, growing startups, and established enterprise teams, Monarch ensures predictable and optimized costs regardless of scale.
Which GPUs?
Monarch currently offers comprehensive access to a diverse range of GPU types, ensuring that you can precisely match the needs of your workload with optimal compute power. Our platform spans both cutting-edge and widely-used GPUs, catering to a variety of training, inference, and experimentation requirements.
Available GPUs include:
Latest NVIDIA GPUs:
H100: Exceptional performance for large-scale AI training, heavy inference workloads, and high-end experimentation.
A100 & A100-80GB: Ideal for demanding AI training, large models, and intensive deep learning tasks.
L40S & L4: Optimized for fast, efficient inference and real-time AI applications.
RTX 6000 Ada, RTX 5090, RTX A6000: Advanced RTX GPUs designed specifically for next-generation AI and graphics workloads.
Professional GPUs:
NVIDIA A4000, A5000, A6000: Robust professional GPUs providing a balanced combination of power, efficiency, and stability for reliable AI workloads, graphic design, and professional video rendering.
Consumer GPUs:
RTX 3080, RTX 3090, RTX 2080 Ti: Powerful and affordable GPUs that effectively balance cost and performance, making them ideal for rapid prototyping, fine-tuning experiments, and smaller-scale AI workloads.
Beyond just GPU variety, Monarch’s infrastructure is strategically distributed across multiple global regions, including Africa, North America, Europe and Asia. This design ensures compute availability close to your data and users, minimizing latency, improving data sovereignty, and optimizing performance. From large-scale international workloads to region-specific AI initiatives, Monarch provides both global reach and local depth—delivering precise control and flexibility over your GPU resources wherever your users and data reside.
Who Should Join?
Monarch is designed to cater to specific AI-driven use cases, making it the ideal solution for those working on innovative and performance-critical AI workloads.
AI researchers benefit immensely from Monarch’s extensive GPU catalog and streamlined resource management. By accessing the most cost-effective GPUs—including the latest NVIDIA hardware—researchers can significantly reduce both experimentation time and infrastructure costs.
Startups running machine learning workloads find Monarch particularly valuable because it simplifies complex GPU infrastructure management, saving critical engineering resources. Instead of investing significant time and capital in infrastructure setup and management, startups can focus purely on their product and innovation, scaling GPU resources seamlessly as their business grows.
Developers building and testing AI applications benefit from Monarch’s unified API, enabling effortless deployment, testing, and fine-tuning across multiple GPU configurations and environments. This flexibility dramatically shortens development cycles, improves reliability, and ensures developers spend their time building great software rather than navigating complex infrastructure configurations.
Data scientists training models on various GPU configurations find Monarch especially powerful. With comprehensive access to diverse GPU architectures—ranging from consumer-grade GPUs ideal for rapid experimentation to advanced NVIDIA H100 and A100 GPUs suitable for massive model training—data scientists can optimize performance, costs, and outcomes simultaneously.
Join the Program
Ready? Join our early access program today to get priority access and help shape the future of Monarch.
Simply fill out our sign-up form to get started. We'll be accepting a limited number of users during this phase to ensure we can provide the best possible experience.
We're looking forward to having you on board!
