Integrating advanced AI capabilities is paramount for organizations striving to stay ahead. Hitachi iQ with NVIDIA DGX™ H100, powered by Hitachi Content Software for File and Hitachi Content Platform (HCP), offers a groundbreaking solution that meets these stringent demands. Hitachi Content Software for File is now certified for NVIDIA DGX BasePOD™, ensuring optimal performance and reliability for AI and data analytics workloads.
Challenges
Because of storage limitations, Generative AI models, especially large ones, face significant challenges in unleashing the true power of GPUs. High-performance storage with ultra-low latency is a crucial aspect that is often missed during these discussions. Key issues include:
- Data Bandwidth and Transfer Bottlenecks: High data throughput and latency between storage and GPU memory can reduce processing efficiency.
- Memory Limitations: GPU memory size and bandwidth are often insufficient for large models, necessitating complex memory management strategies.
- Storage I/O Performance: Disk I/O speed and parallel I/O management can bottleneck GPU utilization. It is important to ensure that software frameworks and drivers are fully optimized to leverage GPU capabilities. Compatibility issues can limit performance and functionality.
- Data Management and Preprocessing: Efficient data preprocessing and distribution are crucial for maintaining high GPU performance. The way data is stored and accessed can significantly impact GPU performance. Efficient data layout and access patterns are crucial for maximizing throughput.
- Scaling Across Multiple GPUs and Nodes: Synchronization overheads and maintaining data consistency in distributed setups add complexity.
- Integration and System Bottlenecks: Integrating GPUs with the rest of the system, including CPUs, networking interfaces, and storage, must be done carefully to avoid bottlenecks and ensure smooth data flow.
Integrating high-performance storage solutions with ultra-low latency into an AI infrastructure is essential to effectively addressing these challenges. This enhancement can significantly improve GPU utilization efficiency, accelerate data access, and support the seamless scaling of generative AI applications across distributed systems. Thus, optimizing storage capabilities is pivotal for fully harnessing the computational power of GPUs in generative AI tasks.
Certified for NVIDIA DGX H100 BasePOD™: Assurance of Quality and Performance
Optimized for High-Demand Workloads
Hitachi Content Software for File is now NVIDIA DGX H100 BasePOD™ certified as part of our Hitachi iQ offering, highlighting its readiness to tackle the most demanding AI and data analytics workloads. This certification guarantees that the solution meets the stringent performance and reliability standards of NVIDIA DGX BasePOD™, providing customers with the confidence that their AI infrastructure is built to handle complex, large-scale projects.
Accelerated Deployment and Scalability
Hitachi iQ, with NVIDIA DGX H100, is designed for rapid deployment, reducing the complexity typically associated with setting up AI infrastructures. Its modular architecture allows for scalable growth, accommodating increasing demands as AI projects evolve. This flexibility ensures that organizations can start with a small deployment and expand seamlessly, maintaining optimal performance at every stage.
Harnessing the Power of AI with Hitachi iQ
Enhanced Storage Capabilities
The inclusion of Hitachi Content Software for File and Hitachi Content Platform (HCP, now VSP One Object) provides a robust foundation for data-intensive applications. This storage solution supports high-performance, scalable file services and object storage, ensuring data is readily accessible and secure. The platform's ability to handle vast amounts of data with minimal latency, which is crucial for AI applications that require real-time processing and analysis.
Seamless Integration with NVIDIA DGX H100 systems
Hitachi iQ leverages the computational prowess of NVIDIA DGX H100 GPUs, enabling businesses to accelerate AI initiatives efficiently. The NVIDIA DGX H100 GPUs, known for their exceptional performance, particularly in deep learning and large language models, are seamlessly integrated into the Hitachi iQ platform. This combination ensures that AI workloads are executed quickly and accurately, reducing time-to-insight and enhancing decision-making processes.
Realizing Business Value with Hitachi iQ
Industry-Specific AI Outcomes
Hitachi iQ goes beyond generic AI solutions by offering industry-specific outcomes tailored to the healthcare, finance, automotive, and telecommunications sectors. This targeted approach accelerates the adoption and effectiveness of AI, providing significant competitive advantages.
Improved Economics and Support
Combining high-performance computing with cost-effective storage options ensures that businesses achieve the best return on investment. Additionally, Hitachi's award-winning support services provide ongoing assistance, ensuring that the AI infrastructure operates smoothly and efficiently.
Example of a typical Generative AI Pipeline:
In conclusion, Hitachi iQ with NVIDIA DGX H100, powered by Hitachi Content Software for File and Hitachi Content Platform (now VSP One Object), represents a significant advancement in AI infrastructure. The certification for NVIDIA DGX BasePOD™ underscores its capability to deliver high-performance, reliable, and scalable AI solutions, empowering organizations to unlock the full potential of AI and drive transformative business outcomes.
To learn more about Hitachi iQ, Hitachi Content Software for File, and HCP (now VSP One Object), please visit:
Hitachi iQ reference architecture guide:
§ Nvidia DGX H100:
https://www.hitachivantara.com/content/dam/hvac/pdfs/architecture-guide/hitachi-iq-nvidia-dgx-basepod.pdf
§ Nvidia HGX H100:
https://www.hitachivantara.com/content/dam/hvac/pdfs/architecture-guide/iq-with-hgx-h100-powered-with-hcsf-hcp.pdf
- Hitachi Content Software for File
- Hitachi VSP One Object Storage
- Real-World Use Case: The Las Vegas Sphere
Note: NVIDIA DGX H100 and NVIDIA HGX H100 platforms offer equivalent GPU compute performance. The primary distinction lies in system integration and deployment flexibility. DGX H100 is a turnkey, fully integrated system engineered by NVIDIA, optimized for rapid deployment in enterprise and research environments. In contrast, HGX H100 is a modular platform built by OEM partners and validated through the NVIDIA-Certified Systems program. This certification ensures HGX-based systems meet rigorous performance, scalability, and reliability standards across AI, data analytics, and high-performance computing workloads — without compromising GPU capability or performance.