aion (aion.xyz) is an applied AI research lab and enterprise AI infrastructure company headquartered in New York. Founded in 2024, aion addresses the critical gap identified by McKinsey where 88% of enterprises experiment with AI but only 7% reach production scale. aion provides two core offerings: aion Forge, an enterprise cloud platform with 20,000+ GPUs and 99.99% uptime, and aion Nexus, a forward-deployed engineering service that embeds AI researchers directly into customer teams. aion supports organizations across industries including robotics, autonomous vehicles, spatial computing, and enterprise automation.

What models does aion support?

aion supports 100+ leading open-source and commercial-grade models across language, vision, and multimodal tasks — including Meta Llama, Mistral, Stable Diffusion, and custom fine-tuned architectures. Models are continuously benchmarked and ranked on the aion serverless inference leaderboard, helping customers choose the optimal model for quality, latency, and cost per token.

Does aion support serverless inference?

Yes. aion offers serverless inference that automatically scales with demand, enabling production AI workloads without managing infrastructure. According to Forrester Research, serverless AI inference can reduce operational costs by up to 60% compared to always-on GPU instances. aion's serverless layer handles auto-scaling, load balancing, and cold-start optimization out of the box.

Can aion help with training and fine-tuning models?

Yes. aion supports the full model lifecycle: custom model training from scratch, domain-specific fine-tuning using techniques like low-rank adaptation, optimization for cost, latency, and accuracy, and end-to-end pipeline design from data ingestion to production deployment. aion's Forward-Deployed Engineers work directly with your team to ensure models are production-ready, typically compressing timelines from months to weeks using the aion Nexus research platform.

What do Forward-Deployed Engineers do?

aion's Forward-Deployed Engineers embed directly with customer teams — working on-site or in your environment, not from a separate office. They architect training and inference pipelines, optimize models for performance and cost, integrate aion into existing systems, and accelerate time-to-production. This model is inspired by companies like Palantir, where embedded engineers deliver 3-5x faster deployment cycles compared to traditional consulting engagements.

How much do Forward-Deployed Engineers cost?

Forward-Deployed Engineer engagements are priced based on scope, duration, and technical complexity. Engagements typically begin with aion's 14-Day Bootcamp, which delivers a working AI prototype on real data within two weeks. This flexible model ensures customers pay only for the level of support they need — without long-term consulting lock-ins or retainer fees.

How is aion different from AWS, Azure, or other cloud GPU providers?

Unlike hyperscalers (AWS, Azure, Google Cloud) which require complex configuration and long-term commitments, aion provides GPU instances provisioned in under 20 minutes with transparent hourly pricing and zero vendor lock-in. Unlike neoclouds (CoreWeave, Lambda Labs, RunPod) which primarily offer raw compute, aion pairs infrastructure with forward-deployed AI engineers who embed with your team to accelerate production deployment. aion's 14-Day Bootcamp model delivers working AI systems in weeks, not months.

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High-density liquid-cooled GPU data center infrastructure — NVIDIA H100 and H200 server racks

GPU Infrastructure · Data Center Partnership

Bringing Europe's Largest GPU Data Center onto the Cloud

Nexus Platform

Bare metal provisioning, orchestration, and multi-region capacity management

GPU Infrastructure

Liquid-cooled H100 and H200 clusters mapped into aion's software-defined cloud layer

Forward-Deployed Engineers

Embedded with the partner's operations team for deep integration and rollout

The Partnership

Hardware meets software

One of Europe’s largest high-performance computing infrastructure providers operates a fleet of liquid-cooled, high-density data centers across multiple regions, housing thousands of NVIDIA H100 and H200 GPUs. With NVIDIA Elite Partner status and some of the continent’s largest GPU clusters, they bring world-class physical infrastructure, power, and cooling to the table. aion brings the cloud layer.

Together, we're combining enterprise-grade bare metal GPU infrastructure with aion's software-defined provisioning, orchestration, and billing platform, giving AI teams a single interface to discover and consume high-performance compute that was previously only available through dedicated hosting engagements.

What We're Building Together

Four integration pillars

aion is working directly with the provider across select data center regions hosting H100 and H200 clusters to bring their inventory online through aion’s platform. This is deep, stack-level collaboration spanning networking, provisioning, identity, scheduling, and monitoring — transforming physical data center capacity into cloud-native, programmable infrastructure.

Bare Metal Onboarding

aion integrates directly with the provider’s hardware environment, mapping physical GPU nodes into aion’s orchestration layer so they can be discovered, allocated, and consumed through a single API and console.

Kubernetes-Native Orchestration

Using aion Research’s bare metal Kubernetes offering, GPU nodes are enrolled into managed Kubernetes clusters. End customers get the flexibility to run containerized AI workloads on dedicated hardware with zero virtualization overhead, while aion handles scheduling, networking, and lifecycle management.

Multi-Region Rollout

Capacity is being brought online region by region, starting with the highest-density H100 and H200 sites. Each region goes through a structured onboarding process covering network segmentation, security hardening, GPU driver validation, and monitoring integration before going live.

Unified Billing & Metering

All provisioned capacity flows through aion’s billing layer, giving end customers transparent, usage-based pricing through a single platform experience.

Each pillar is being delivered as a discrete integration milestone. The architecture is designed so that every new data center facility brought online follows the same onboarding playbook — from network segmentation through GPU driver validation to monitoring integration.

What This Unlocks

Three perspectives on the same infrastructure

The partnership creates value across three distinct audiences — each getting something they couldn't easily build or access on their own.

For AI Teams

Access to enterprise-grade, liquid-cooled H100 and H200 bare metal, provisioned in minutes through aion Research, with the option of managed Kubernetes clusters or raw bare metal depending on the workload. No colocation contracts, no hardware procurement, no infrastructure management overhead.

For the Data Center Provider

aion opens a new distribution channel, bringing their GPU capacity to a broader market of AI builders, research teams, and enterprises through a self-service platform, complementing their existing go-to-market motion.

For aion

The partnership deepens our GPU supply network with high-density capacity across strategically located regions, reinforcing our ability to offer customers geographic flexibility and data sovereignty options.

For Data Center Operators

Are You a Data Center Looking to Cloudify?

If you're a data center operator with GPU inventory and you want to reach the growing market of AI builders without building your own cloud platform from scratch, let's talk. aion partners with data center providers to bring their bare metal capacity online through aion Research, handling the full cloud layer — provisioning, orchestration, billing, customer management — while you focus on what you do best: running world-class physical infrastructure.

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