Max 8500 represents the higher end of the PowerMax series, known for its exceptional performance, scalability, and resilience,
designed to handle the most demanding mission-critical applications across all industries. Like the PowerMax 2500, it leverages
end-to-end NVMe, machine learning, and intelligent real-time analytics to optimize performance, but at a scale and capacity
suitable for large enterprises and data-intensive applications. Here’s an overview of its key features and benefits: Key Features:
Performance: Engineered for environments requiring ultra-high performance, the PowerMax 8500 delivers millions of IOPS
(Input/Output Operations Per Second), sub-millisecond latency, and massive bandwidth capabilities to support critical workloads.
NVMe and SCM Support: Incorporates end-to-end NVMe for front-end, back-end, and NVMe-based Storage Class Memory (SCM) for
persistent storage, providing incredibly fast response times and throughput. Smart Architecture: Utilizes a multi-controller
architecture with scale-out and scale-up capabilities, allowing for substantial growth without compromising performance. Data
Services: Comes with a comprehensive suite of data services, including inline deduplication and compression, quality of service,
replication, encryption, and machine learning-enabled storage resource management. Scalability: Supports petabytes of effective
capacity, allowing for seamless scalability as your data storage needs grow. Cyber Resilience: Enhanced with comprehensive
security features including data at rest encryption, Gapless Backup to EMC PowerProtect appliances, and an embedded SafeGuarded
Copy for immutable snapshots, ensuring your data is secure and recoverable in any scenario. Use Cases: Large Enterprise
Environments: Where managing and processing massive volumes of data at high speeds is critical. Mission-Critical Applications:
Like large databases, ERP systems, and real-time analytics platforms that cannot tolerate downtime or performance lags.
Consolidated Systems: For organizations looking to reduce infrastructure complexity by consolidating workloads onto a single
high-performing platform. Emerging Technologies: Supporting workloads involving AI, machine learning, and big data analytics by
providing the necessary speed and efficiency. |
