NVIDIA offers comprehensive support for deploying the DGX Station in a data center environment, although the DGX Station is primarily designed for desktop use. However, when considering similar products like the DGX systems, NVIDIA provides extensive enterprise-level support that can be leveraged for data center deployments. Here's a detailed overview of the support services available:
1. Expert Guidance: NVIDIA's Infrastructure Specialist team offers custom solutions for data center infrastructure and AI data science workloads. They assist with installation, deployment, onboarding, and optimizing workloads to reduce costs and improve time to production[1].
2. Enterprise Support: NVIDIA DGX platforms, including similar systems to the DGX Station, come with enterprise support for infrastructure, NVIDIA AI Enterprise, and Base Command software. This includes hardened system software, optimized AI libraries, cluster management, job scheduling, and workload orchestration[1].
3. Professional Services: NVIDIA provides professional services that include pre-deployment design reviews, infrastructure installation, system configuration, end-to-end project management, deployment risk assessment, benchmarking, performance tuning, and post-deployment services like maintenance and health checks[2].
4. Technical Training and Certifications: NVIDIA offers high-quality technical training to ensure IT organizations are prepared to leverage their investments. Training covers installation, deployment, optimization, management, and troubleshooting. Additionally, NVIDIA provides certifications exams and digital badges for recognizing skills in areas like AI in the data center[2].
5. Support Portal and Specialists: Customers have access to a 24/7 support portal and can engage with NVIDIA support specialists during local business hours. Optional services include technical account managers, business critical support, and expedited RMA services[1].
6. Software and Hardware Optimization: The DGX software stack is optimized for AI workloads, allowing for easy deployment of deep learning frameworks and HPC applications. The system comes with pre-installed drivers and tools, facilitating immediate productivity[3].
While the DGX Station is not specifically designed for data center use, leveraging these support services can help ensure efficient deployment and operation in such environments. However, for data center deployments, NVIDIA's DGX systems are more commonly used and supported.
Citations:
[1] https://www.nvidia.com/en-us/data-center/dgx-support/
[2] https://docs.nvidia.com/enterprise-support-and-services-user-guide/nvidia-enterprise-services/index.html
[3] https://www.robusthpc.com/wp-content/uploads/2021/11/nvidia-dgx-station-a100-system-architecture-white-paper_published.pdf
[4] https://nvidianews.nvidia.com/news/nvidia-announces-dgx-spark-and-dgx-station-personal-ai-computers
[5] https://news.ycombinator.com/item?id=16002068
[6] https://docs.nvidia.com/dgx/dgx-os-5-user-guide/
[7] https://www.techpowerup.com/forums/threads/nvidia-announces-dgx-spark-and-dgx-station-personal-ai-computers.334300/
[8] https://www.nvidia.com/en-us/support/