The AI Infrastructure Research Lab

aion Forge is built for developers, startups, and enterprises that need immediate access to secure, sovereign, high-performance GPU compute without long procurement cycles or rigid contracts. Forge goes beyond basic infrastructure—we actively help you select the most cost-effective GPU configurations for your workload, so you get maximum performance per dollar rather than overpaying for generic instances. For customers requiring reserved or large-scale capacity, contact our team for custom pricing and deployment options.

aion aggregates underutilized, enterprise-grade GPU infrastructure from trusted operators worldwide into a single, unified platform. This provides on-demand access to high-performance GPUs, geographic flexibility and data sovereignty, no hardware procurement or long setup timelines, and plug-and-play infrastructure with no vendor lock-in. We abstract away hardware complexity so your team can focus on building and deploying AI systems, not managing servers.

Most customers can access compute within hours, not weeks or months. aion pre-qualifies and provisions capacity ahead of demand, allowing rapid onboarding compared to traditional cloud providers or on-prem deployments.

Hardware selection depends on your workload characteristics. Large-scale training requires multi-GPU nodes with high memory and fast interconnects. Fine-tuning and experimentation benefit from smaller, flexible GPU instances for rapid iteration. Inference at scale uses optimized configurations focused on throughput, latency, and cost efficiency. aion actively matches workloads to the optimal hardware profile based on model size, performance targets, and budget to avoid one-size-fits-all instances.

aion uses transparent, hourly, usage-based pricing. You pay only for the GPU resources you actively use and the duration they are running. There are no upfront fees, no licenses, and no forced minimums.

Yes. For customers with predictable or large-scale workloads, aion offers reserved and committed capacity options with discounted pricing.

Most neoclouds advertise only a headline $/GPU-hour, while obscuring critical variables like precision tiers, interconnects, regions, and contractual constraints. aion offers transparent, hourly, usage-based pricing with no upfront fees, licenses, or forced commitments, clear performance characteristics, and full flexibility to scale up or down at any time. Costs remain predictable, controllable, and directly proportional to real workload usage.

No. aion requires no long-term commitments or exclusivity. You can start, stop, and scale usage freely, with no penalties and no vendor lock-in.

aion supports multiple global regions and sovereign deployment options. Customers can choose where workloads run to meet regulatory, compliance, or latency requirements. Region availability depends on capacity and workload needs.

Yes. aion integrates cleanly with modern AI and MLOps workflows, including containers, Kubernetes, and common orchestration frameworks. Teams can bring their own tooling or adopt aion-recommended configurations.

AI inference is the process of running a trained model to generate outputs from new data, such as answering a user query, generating images, or classifying inputs in real time. Inference is where AI delivers real business value, but it is also where costs, latency, and operational complexity often spiral out of control.

Training builds the model by learning from large datasets. It is compute-intensive but intermittent. Inference runs continuously in production and typically represents the majority of long-term AI infrastructure cost. aion supports both batch inference (offline, asynchronous processing) and real-time inference (low-latency responses for live applications), with infrastructure optimized for predictable performance and cost efficiency.

aion lowers cost per inference through purpose-built GPU selection instead of generic instances, high GPU utilization through intelligent scheduling, software-level optimizations (quantization, memory efficiency, optimized runtimes), and transparent pay-as-you-go pricing. The result is significantly lower cost per token, image, or request compared to traditional cloud deployments.

aion supports 100+ leading open-source and commercial-grade models across language, vision, and multimodal tasks. Models are continuously benchmarked and ranked on the aion serverless inference leaderboard, helping customers choose the best option for quality, latency, and cost.

Yes. aion offers serverless inference options that automatically scale with demand, making it easy to deploy production workloads without managing infrastructure.

aion Nexus delivers custom enterprise AI solutions, combining the infrastructure of aion Forge with hands-on execution from aion's Forward-Deployed Engineers (FDEs). Nexus is designed for organizations that want outcomes—not just compute.

Yes. Nexus supports custom model training and fine-tuning, optimization for cost, latency, and accuracy, and end-to-end pipeline design from data to production. FDEs work directly with your team to ensure models are production-ready.

aion's FDEs embed directly with customer teams to architect training and inference pipelines, optimize models and infrastructure, integrate aion into existing systems, and accelerate time-to-production. They operate as an extension of your engineering organization.

FDE engagements are priced based on scope, duration, and technical complexity. This flexible model ensures customers pay only for the level of support they need—without long-term consulting lock-ins.

aion is building the next generation of AI infrastructure and deployment platforms—focused on performance, transparency, and real-world outcomes. CEO and Co-Founder Jayden Watson is a self-taught coder, algorithmic trader, and crypto-native founder with over a decade of experience at the intersection of AI, blockchain, and systems engineering. Co-Founder Christian Angermayer is a serial entrepreneur, investor, and executive film producer. He is the founder of Apeiron Investment Group, the biotechnology company atai Life Sciences, and a co-founder of the blockchain startup Plasma. aion's executive team includes serial founders and operators with leadership experience from Google, Amazon, and Microsoft.