
CANCOM becomes an NVIDIA AI Factory Specialisation Partner
- Expanding expertise in response to growing pressure to industrialise AI, with a focus on scalability, security and cost-effectiveness.
- Strategic development of our AI positioning with a clear focus on productive deployment.
- Specialisation is granted exclusively by invitation to partners with proven expertise in the operation of productive AI platforms.
For IT managers, CANCOM is thus creating a clear framework for developing AI workloads in a structured manner, operating them efficiently and integrating them securely into existing IT landscapes. In view of rising demands for competitiveness, automation and data utilisation, this step is becoming increasingly important from a strategic perspective.
From isolated use cases to industrial-scale deployment
Many companies have gained initial experience with AI. They now face the challenge of transitioning these approaches from isolated test environments into regular production operations. In doing so, the demands on scalability, operational reliability, cost control and compliance are rising significantly. This is precisely where the NVIDIA AI Factory Specialisation comes in. It broadens the focus from individual high-performance systems to standardised, enterprise-wide AI platforms based on validated NVIDIA Enterprise Reference Architectures.
These so-called AI Factories can be understood as industrial production environments for AI applications. They combine powerful compute resources, modern network infrastructures, orchestration with Kubernetes, and integrated security and observability functions with specialised NVIDIA software stacks such as NVIDIA AI Enterprise, NVIDIA NIM for running inference services, NVIDIA NeMo for training and fine-tuning large language models, and the NVIDIA Base Command Manager for managing AI clusters.
High standards for technology and operations
This specialisation is aimed exclusively at providers who are not only able to build and implement AI platforms based on validated reference architectures, but also to operate them productively on a long-term basis. In addition to platform architecture, this requires in-depth expertise in building high-performance AI networks – for example, using NVIDIA Spectrum X Ethernet and NVIDIA InfiniBand – as a prerequisite for scalable, low-latency and highly available AI workloads.
“AI must make the transition from the experimental stage to productive operation. This is precisely where the difference between vision and value creation begins. With NVIDIA technology, CANCOM is actively driving the industrialisation of artificial intelligence – from scalable platforms right through to concrete applications. We do not simply want to provide AI from a technological perspective; we want to make it measurably effective for our customers. In doing so, we aim to make a tangible contribution to innovation and competitiveness in the CANCOM Group’s core markets,” says Rüdiger Rath, CEO of CANCOM.
CANCOM strengthens its position as an end-to-end partner for AI
This partnership status marks an important milestone in the further development of CANCOM’s AI strategy in the DACH region and underlines its position as a systems integrator and infrastructure provider with leading expertise in the application of artificial intelligence. The company pursues a holistic approach that combines consultancy, architectural design, implementation and operation of AI platforms.
The aim is not only to provide customers with technological support, but also to guide them along a reliable path towards the sustainable use of AI – with clear governance structures, high operational reliability and predictable costs. This transforms AI from an innovation project into a scalable and economically manageable component of corporate IT.
Investments in infrastructure create measurable added value
A key component of the certification is the targeted development of a high-performance demo and proof-of-concept infrastructure at CANCOM. This includes, amongst other things, high-performance DGX and HGX-based systems as well as RTX-validated configurations, such as those based on the NVIDIA RTX PRO 6000. This infrastructure is complemented by NVIDIA AI Enterprise software stacks and scalable network architectures for the production-ready operation of AI. This environment enables architectures to be validated under realistic conditions and well-informed investment decisions to be made. As a result, customers benefit from a significantly shorter time-to-production, reduced project risks and greater planning certainty when introducing AI solutions.