#Japan #Tokyo #AI Infrastructure #SB C&S #GPU Procurement

Overview of AI Infrastructure in Enterprises

SB C&S conducted a comprehensive survey to understand the state of AI infrastructure and the challenges associated with GPU procurement, driven by the growing adoption of generative AI. This survey targeted sales partners to gather insights on how enterprises are managing their AI needs.

Key Findings from the Survey

1. Customer Profile:
The survey revealed that the primary demographic for generative AI projects comprises mid-sized companies (100-299 employees) and small businesses (20-99 employees), with these groups representing over half of the total respondents. This shift indicates a diversification of AI adoption beyond large enterprises, emphasizing the need for efficient solutions to enhance productivity and business processes.

2. Generative AI Adoption:
Despite a strong interest in generative AI, with 52.5% of businesses indicating high interest but limited implementation, only 7.3% reported significant deployment. This suggests that while PoC (Proof of Concept) initiatives are proliferating, actual integration into business operations remains limited. The data illustrates that many companies are still in the testing phase, exploring how generative AI can be embedded into their workflows.

3. Challenges in AI Infrastructure:
The most pressing challenge identified was a shortage of qualified personnel, reported by 70.4% of respondents. This reflects a critical gap in the labor market as companies strive to keep pace with rapid technological advancements in AI. Other notable concerns included hardware maintenance costs and operational expenses related to data centers and power necessary for running AI systems.

4. Need for Support in Infrastructure Setup:
A significant portion of respondents expressed a need for external support in vendor selection and configuration proposals (52.0%) and GPU evaluation environments (42.5%). These preferences underscore the complexity associated with establishing a comprehensive AI infrastructure, indicating that many companies require expert guidance in the early stages of setup.

5. Utilization of GPU Testing Centers:
The demand for GPU testing centers was notably high, with 49.2% of respondents indicating their use for PoC activities and 44.1% for technical demonstrations. These centers play a crucial role in validating hardware capabilities before full-scale implementation, making them essential for companies that are still in the exploration phase of adopting generative AI.

The Implications of Findings

With generative AI becoming increasingly pivotal in shaping business strategies, the necessity for robust and effective AI infrastructure cannot be overstated. SB C&S aims to support enterprises in navigating these challenges through a comprehensive framework that encompasses design, testing, deployment, and operational phases.

Future Directions for AI Infrastructure

To further assist companies, SB C&S has announced the opening of the ‘C&S AI INNOVATION FACTORY’ in July 2025, equipped with state-of-the-art technology including NVIDIA DGX™ H200 systems. This facility will provide hands-on training and environment for over 420 engineers, ensuring that partners are adequately prepared to implement cutting-edge AI solutions.

Conclusion

The survey findings shed light on the current landscape of AI infrastructure within enterprises, revealing a clear need for advancements in both personnel development and technological support. As generative AI continues to evolve, embracing these insights will be essential for businesses seeking to thrive in an increasingly data-driven environment.