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Modern Storage Meets Cyber Resilience: The Rubrik and Pure Storage Solution Architecture for Unstructured Data

Pure Storage

Pure Storage and Rubrik are expanding their partnership to offer a holistic and secure reference architecture that tackles the challenges of managing and securing unstructured data at scale. A modern data storage solution unifies block and file services in a single storage pool while optimizing capacity through deduplication and compression.

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Simplify Enterprise AI with Pure Storage, Certified Storage for NVIDIA DGX SuperPOD

Pure Storage

Parallel Architecture Benefits Multi-stream AI Workloads Building foundational models with complex data input requires powerful, scale-out accelerated compute. FlashBlade//S couples high-throughput, low-latency performance with industry-leading energy efficiency of 1.4TB effective capacity per watt. All as-a-service.

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Considerations for Disaster Recovery – Part 2: Compute

Zerto

Being able to choose between different compute architectures, such as Intel and AMD, is essential for maintaining flexibility in your DR strategy. Key Takeaways: Thorough capacity planning : Accurately assess your compute requirements to ensure you have sufficient capacity for an extended DR scenario.

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Considerations for Disaster Recovery – Part 1: Storage

Zerto

3 Primary Factors for Choosing Disaster Recovery Storage Storage Size / Capacity It is important to consider how much storage will be needed for disaster recovery.   You may be protecting all your data and applications for disaster recovery, or you may only be protecting business-critical systems. How much are you protecting?

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Considerations for Disaster Recovery – Part 3: Networking

Zerto

Recovery Time Objective (RTO): Measures the time it takes to restore applications, services, and systems after a disruption. Data Protection and Recovery Architecture Why It Matters: Data loss during a disaster disrupts operations, damages reputations, and may lead to regulatory penalties. Inadequate bandwidth can create bottlenecks.

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Why Storage Is the Unsung Hero for AI

Pure Storage

As AI progressed, each wave of innovation placed new demands on storage, driving advancements in capacity, speed, and scalability to accommodate increasingly complex models and larger data sets. They lack the agility, performance, and scalability required to support AIs diverse and high-volume data requirements.

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Understand resiliency patterns and trade-offs to architect efficiently in the cloud

AWS Disaster Recovery

Firms designing for resilience on cloud often need to evaluate multiple factors before they can decide the most optimal architecture for their workloads. Example Corp has multiple applications with varying criticality, and each of their applications have different needs in terms of resiliency, complexity, and cost. Trade-offs.