- Expanding expertise in response to growing pressure to industrialize AI, with a focus on scalability, security, and cost-effectiveness.
- Strategic advancement of our AI positioning with a clear focus on productive deployment.
- Specialization is granted exclusively by invitation to partners with proven expertise in operating productive AI platforms.
CANCOM has received the newly created “AI Factory Specialization” designation from NVIDIA within the NVIDIA Partner Program on an exclusive invitation-only basis, thereby joining a select group of NVIDIA partners. With this specialization, CANCOM is specifically strengthening its position as a partner for the industrialization of Artificial Intelligence (AI) and addressing a key challenge faced by many companies: the transition from initial AI pilot projects to the secure, scalable, and cost-effective deployment of Artificial Intelligence in day-to-day operations.
For IT managers, CANCOM thus creates a clear framework for developing AI workloads in a structured manner, operating them efficiently, and integrating them securely into existing IT landscapes. In light of rising demands for competitiveness, automation, and data utilization, this step is gaining increasing strategic importance.
From Isolated Use Cases to Industrial Deployment
Many companies have gained initial experience with AI. Now they 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 Specialization comes in. It shifts the focus from individual high-performance systems to standardized, 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 features with specialized 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 Demands on Technology and Operations
This specialization is exclusively aimed at providers who can not only build and implement AI platforms based on validated reference architectures, but also operate them productively over the long term. 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. That is precisely where the difference between vision and value creation begins. With NVIDIA technology, CANCOM is actively driving the industrialization of artificial intelligence—from scalable platforms to concrete applications. We don’t just want to provide AI technologically; we want to make it measurably effective for our customers. In doing so, we aim to make a concrete 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 partner status marks an important milestone in the further development of CANCOM’s AI strategy in the DACH region and underscores its position as a system integrator and infrastructure provider with leading expertise in the application of artificial intelligence. The company pursues a holistic approach that combines consulting, architecture design, implementation, and operation of AI platforms.
The goal is not only to provide customers with technological support but also to guide them on a reliable path toward 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 central component of the certification is the targeted development of a high-performance demo and proof-of-concept infrastructure at CANCOM. This includes, among 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 productive operation of AI. This environment enables architectures to be validated under realistic conditions and well-informed investment decisions to be made. Customers thus benefit from a significantly shorter time-to-production, reduced project risks, and greater planning certainty when introducing AI solutions.
