HPE Apollo 4000: Data Storage Servers
Unlock the value of your data with flexible AI solutions that give you the scalability, performance, and cost controls you need.
Be a data-driven organization
Manage and analyze large and growing data sets with an ultra-dense, secure architecture that drives digital transformation and data infrastructure modernization at any scale.
Harness workload-optimized solutions
Deliver efficient, flexible rack-scale solutions built to accommodate both ends of the data-centric workload spectrum, from deeper data lakes and archives to high throughput and in-place analytics and AI/ML, data-heavy hyperconverged infrastructure (HCI), and cache-intensive workloads.
Leverage a balanced, symmetrical design
Enjoy a balanced, high-throughput architecture extending from data ingest, through transfer of the data in flight, to persistence of data at rest.
Power your data and analytics
Accelerate insights from all your data-intensive AI/ML and analytics workloads. Enjoy new support for NVIDIA A2 GPUs — ideal for AI at the edge — with up to 6x better performance than CPU-based systems. Increase operational efficiencies, speed product development and quality, and securely manage workloads across the enterprise.
Optimize your deployment
Flexibly configure the optimal mix of compute, network, and media for your analytics use cases.
Rely on built-in security
Enjoy a 360-degree perspective on security that includes secure encryption for your data, HPE iLO5 with silicon root of trust, and secure boot capabilities to safeguard your system.
Easily deploy and service your solution
Simplify deployment and maintenance for datacenter operations teams. Enable full, in-rack and online servicing for all drive bays, cooling fans, and power supplies.
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Accelerate your data-driven initiatives
Power performance-demanding, data storage-centric workloads—distributed databases, AI/ML, analytics data lakes, data-heavy HCI—with a new style of server-based, cloud-native data infrastructure.
Keep pace with rapid data growth while speeding your data-driven apps.