Is Your Data Infrastructure Ready for the Road Ahead?
Special Launch Event
Hitachi Content Software for File: High-Performance File Services for AI, ML and Analytics
Putting Your Data to Work
In the race to make the most of artificial intelligence (AI), machine learning (ML) and high performance computing (HPC) based analytics, the winners are those who can run more models with more complex algorithms and do it faster than their competitors. To win, you need faster access to more data at a lower cost than your competition.
The Storage Bottleneck
Applications crave more data, but storage performance has been left behind. While graphics processing units (GPUs) have shrunk compute infrastructure by 40%, but the data they process has grown by 50%. Investments in compute resources and networks often sit idle, waiting for data. As a result, response times skyrocket but adding more compute is ineffective as legacy storage can’t scale to tens or hundreds of PBs while maintaining high performance. On top of that, each workflow stage has unique compute, storage and networking needs. This leads to silos creating data management and integration challenges, which drives up costs and time to results, neither of which you can afford.
AI and ML Use is Growing
According to polling results conducted in January 2020 by the AI Research Circle, 85% of infrastructure and operations (I&O) leaders are looking to use artificial intelligence (AI) in their infrastructures during next two years. AI workloads are diverse and some are fundamentally different from any other workload the organization may have run in the past. Although interest in leveraging AI applications is on the rise, I&O leaders are often unprepared to address storage requirements and data management challenges for growing datasets of large-scale machine learning (ML) deployment.
The common goals of these projects are to:
- Adopt new business models
- Grow relevancy and competitiveness
- Speed time to market
- Understand customer behavior
- Improve customer experience and loyalty
- Reduce company costs
The Best of File and Object Storage
Hitachi Content Software for File is a high performance storage solution for AI, ML, analytics and other GPU accelerated workloads. It gives you the blazing speed of a POSIX compliant distributed file system (DFS) with the capacity and hybrid cloud capabilities of an object store. As an integrated solution, it greatly reduces the complexity and deployment time. Its support for file and object protocols makes data ingestion easy. The DFS provides both high performance and low latency for data preparation, model training and inference. The object store provides massive storage capacity at a lower cost and offers powerful, data management automation driven by metadata.
Hitachi Content Software for File
This unique integration of file and object storage offers you a tightly coupled, single solution for an appliance-like experience designed for ultra-high performance and capacity applications. For a high-level architecture view, see Figure 1. For details on key components and performance specifications, see Table 1.
Figure 1. Hitachi Content Software for File High-Level Architecture
TABLE 1: Hitachi Content Software for File Components and Performance
| Hitachi Content Software for File Components | |
|---|---|
| Chassis | Hitachi Advanced ServerDS 120 |
| CPU | Xeon Silver 4214or Xeon Gold 6226R |
| Memory | 192GB (12x 16GB) |
| Boot | 480GB SATA SSD PM883 |
| NVMe | 2-10 NVMe SSD 4510(2/4/8TB) |
| Network | 25Gb Mellanox CX4 ENor 100Gb Mellanox CX5 LX EN |
| Network Expansion | 100Gb Mellanox CX5 LX EN |
| Capacity and Performance at Minimum Starting Configuration | |
| NVMe Capacity (TB) | 18TB |
| Transactions (I/Os) | READ: 170,000 WRITE: 80,000 |
| Throughput (GB/s) | READ: 36 GB/s WRITE: 6 GB/s |
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