AI infrastructure
AI solutions tailored to your needs.
Thanks to our extensive experience in delivering cutting-edge AI infrastructure and IT solutions, we can create customized solutions that meet your needs, requirements and budget. Our combined expertise allows us to ensure that every part of the solution is optimized, from initial design to full-scale implementation.
GPU servers
NVIDIA DGX is one of the most powerful GPU servers on the market. We have worked with NVIDIA since the beginning and their products are central to the development of our AI systems. NVIDIA DGX is a universal system for all AI workloads, with unrivaled compute density, performance, and flexibility. In addition to DGX systems, we deliver GPU-based servers and clients to meet every need and budget.
Storage
AI developments are demanding a whole new generation of storage solutions. We deliver some of the most high-performance storage systems on the market. All to maximize your investment. In addition to focusing on performance, we also focus on delivering systems that are proven, easy to manage, with the best possible service and reliability.
Network
We have extensive experience in switching data centers and delivering AI infrastructure solutions without the network becoming a bottleneck between GPU and storage. We have designed some of Sweden's most high-performance data centers and have many years of experience in meeting stringent requirements for performance, uptime and support.
Let’s Turn AI Into Business Value
Aixia is NVIDIA’s exclusive partner in the Nordics for DGX SuperPOD™, accelerating the future of AI infrastructure with climate-neutral operations that speed up growth, performance, innovation, and value responsibly.
We work with the best.
As one of the few NVIDIA Elite Partners in the Nordics, we work closely with technology leaders to deliver state-of-the-art GPU servers, storage solutions and high-performance networks tailored to your organization's needs and budget. To eliminate common pitfalls, we ensure seamless integration and support, whether you're working on a proof-of-concept or have moved into production.
Your partner for NVIDIA's DGX SuperPOD
With hyperscale infrastructure from NVIDIA's DGX SuperPOD, we help you unlock the full potential of AI, scale innovation faster, and turn complex challenges into competitive advantage. As Scandinavia's only certified provider, and one of Europe's most specialized, we build AI infrastructure that shortens time-to-value, secures future growth and gives you a solid foundation for the next step in your digital development.
Build it, buy it, or keep it in the cloud.
Build it yourself
Benefits:
- Lower initial cost
Disadvantages:
- Long lead times
- No support
- Limited scalability
- Tight frameworks
Buy finished product
Benefits:
- Short lead times
- Support for HW/SW
- Functioning framework
Disadvantages:
- Higher initial cost
Cloud-based GPU
Benefits:
- Short lead times
Disadvantages:
- Security
- Higher cost over time
- Dependence on a powerful network
Aixia is a strategic partner of AI Sweden. We have delivered computing power and expertise since their inception in 2018. AI Sweden's data factory is a space for innovation and research focused on achieving results that were previously unattainable.
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Frequently asked questions about AI infrastructure
What is meant by AI infrastructure?
AI infrastructure is the technical base needed to build, train, deploy and use AI solutions. It includes specialized servers (e.g. GPU servers), storage, networking, and software that enable high performance, scalability, and efficient data management for AI projects.
Why is AI infrastructure important for businesses?
A robust AI infrastructure enables companies to handle large amounts of data and run complex AI models faster and more cost-effectively. Without the right infrastructure, AI projects risk being slow, expensive and difficult to scale.
What components are included in AI infrastructure?
Typical components of AI infrastructure are powerful computing devices such as GPUs/TPUs, high-throughput storage systems, fast networks for data traffic, and software frameworks for AI development and operation.
Can AI infrastructure be run in the cloud instead of on-premise?
Yes, it can. AI infrastructure can be built as an on-premises solution, in the cloud or as a hybrid. Cloud-based options provide faster access to resources while on-premises can provide more control and security depending on needs.
How is AI infrastructure different from traditional IT infrastructure?
AI infrastructure is optimized for AI workloads, focusing on massively parallel computing and high-speed data handling. Traditional IT infrastructure is more general-purpose and is often not sized for the demands of heavy AI models.
How does AI infrastructure affect scalability in AI projects?
The right AI infrastructure makes it easier to scale compute capacity and storage as projects grow or need to handle more users, which is crucial for successful AI solutions in production.
How can Aixia help with my AI infrastructure?
Aixia offers customized AI infrastructure solutions, including GPU servers, storage and networking. As well as advice and support throughout the entire process from design to implementation, adapted to the needs of the business.
