Maximizing AI capabilities without lock-in: How AiQu revolutionizes your AI infrastructure
AI is evolving at a rapid pace, and with that pace has come a new bottleneck: access to computing power. GPU hours have become a new form of digital currency that drives innovation, but many organizations struggle with low utilization of computing power and inflexible solutions that tie them to specific platforms.
This is where AiQu comes in – a Swedish-developed solution designed to give you complete control, maximum performance and real cost efficiency for your AI workflows.
Real cost efficiency visible on the bottom line
When we compare traditional tools with AiQu, the difference becomes clear. While conventional solutions often report an average GPU utilization of around 30%, AiQu delivers a dramatic improvement with utilization rates of up to 95%.
This has direct financial implications. The usual payback period for capital and operating expenses (capex/opex) for AI infrastructure is usually 2-3 years. With AiQu, this time can be reduced to less than 12 months by getting three times more computational work out of your existing hardware.
The license model also provides flexibility that many competitors lack. Instead of locking you into SaaS or proprietary solutions only, AiQu offers both SaaS and the option of a perpetual on-premises license.
To concretize what this means: a cluster that previously delivered 300 TFLOPS per million euros invested in hardware can now approach 1 PFLOP in computing power – without the need to purchase a single additional GPU.
Technological advantages for competitiveness
Platform-independent flexibility
AiQu is designed to work independently of your existing infrastructure. The solution runs on any GPU/CPU combination, including NVIDIA, AMD, Intel GPUs, and can even work in CPU-only environments. This is true across all major cloud platforms and on-premises installations.
The innovative platform-agnostic engine automatically places compute jobs wherever free capacity is available – whether on-premises, in private clouds, or in public cloud services.
AiQu is 100% Swedish-developed and if you want to run it as a SaaS service, it is done from Swedish data centers (not in public American clouds).
Intelligent resource management
The “Autonomous Load” feature automatically fills your compute cluster according to defined SLA rules, eliminating manual optimization. AiQu’s built-in recommendation AI also suggests the optimal number of GPUs for each run, preventing both over- and under-provisioning.
Developer-friendly with API-first philosophy
For development teams, AiQu is a dream tool. All functionality is accessible via well-structured REST and gRPC APIs. Complementary CLI and Terraform providers make it easy to manage inference pipelines as code.
Predefined Quick-deploy containers with PyTorch, TensorFlow, Jupyter and other popular frameworks allow your team to be up and running in minutes.
European safety and compliance
As a Swedish-developed solution, AiQu ensures full GDPR and EU AI Act compliance without the risks associated with foreign export regulations. The security architecture includes container-level multitenancy isolation, detailed role and queue management, and comprehensive audit logs.
Complete edge-to-cloud coverage
AiQu excels with built-in support for edge inference on cameras and IoT nodes – a perfect solution for real-time quality monitoring in industrial environments. The same orchestration platform seamlessly manages both powerful DGX racks in the data center and compact Jetson devices on the factory floor.
Proven in demanding production environments
AiQu is not a theoretical solution. The platform was adopted by a Swedish region in January 2025 as the basic infrastructure for their AI initiative in healthcare. In addition, a strategic proof-of-concept is underway at a leading Nordic technology group for automated quality control in production lines and it is in production in many other locations in varying environments and contexts.
As a customer, you get access to expert support from Aixia – one of only two NVIDIA Elite partners in all of Scandinavia. This puts you in direct contact with engineers who have in-depth expertise in both infrastructure and ML workloads.
Sustainability benefits for modern organizations
At a time when ESG (Environmental, Social and Governance) factors are becoming increasingly important for businesses, AiQu delivers here too. Thanks to the high GPU utilization, energy waste is reduced by as much as 68% compared to traditional solutions. The more efficient use of existing hardware also results in a smaller carbon footprint and reduced cooling needs in the data center.
Flexible implementation on your terms
Getting started with AiQu is easy and customizable:
- Start with a free 30-day trial, either in the cloud or on-premises, at your location.
- Choose the operating model that suits your organization:
- SaaS solution (hosted by Aixia in Swedish data center)
- On-premises operation with perpetual license and full root access
- Scale up as needed – the license follows your cluster size, not individual nodes
Transform your AI capabilities today
Whether you’re training large-scale language models, implementing edge inference in production environments, or want to give your research team easy self-service for AI experiments, AiQu offers a flexible, high-performance solution without lock-in effects.
By maximizing the utilization of your existing infrastructure, AiQu can dramatically improve the ROI of your AI investments while maintaining complete control over your technical environment and data.
