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Proven high-performance storage architectures to support AI and ML workloads
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Proven reference architectures for AI and ML data-intensive workloads integrated with leading software defined storage ISVs including Weka.io, Quantum ActiveScale, Cloudian, OSNexus and Scality. Optimal storage architecture balances both flash-based parallel file system high-performance storage and capacity-optimized object storage for large-capacity, less–frequently-accessed storage.
Maximize your investment in AI GPU systems by keeping AI data pipelines fully saturated using high-performance Supermicro 2U all-flash Petascale servers. These systems have industry-leading capacity and performance using native PCIe Gen 5 performance with a symmetrical I/O design enabled by the AMD EPYC™ 9004 series CPU with 32 E3.S drives providing 480 TB capacity.
Supermicro provides complete rack integration to shorten time-to-value for on-site deployment enabled by Supermicro SuperCloud Composer which provides automated provisioning.
Supermicro offers complete, proven reference storage architectures optimized for performance and capacity to support data intensive workloads including AI, machine learning, HPC, and analytics. These solutions are deployed on Supermicro’s AMD-powered Petascale servers which have an industry leading 32 E3.S drives enabling up to 480 TB of all-flash storage.
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Cloud computing relies on sharing of resources to achieve coherence and economies of scale, similar to a utility (like the electricity grid) over a network. At the foundation of cloud computing is the broader concept of converged infrastructure and shared services.
The cloud also focuses on maximizing the effectiveness of the shared resources. Cloud resources are usually not only shared by multiple users but are also dynamically reallocated per demand. This can work for allocating resources to users. For example, a cloud computer facility that serves European users during European business hours with a specific application (e.g., email) may reallocate the same resources to serve North American users during North America's business hours with a different application (e.g., a web server). This approach should maximize the use of computing power thus reducing environmental damage as well since less power, air conditioning, rackspace, etc. are required for a variety of functions. With cloud computing, multiple users can access a single server to retrieve and update their data without purchasing licenses for different applications.
The term "moving to cloud" also refers to an organization moving away from a traditional CAPEX model (buy the dedicated hardware and depreciate it over a period of time) to the OPEX model (use a shared cloud infrastructure and pay as one uses it).
Proponents claim that cloud computing allows companies to avoid upfront infrastructure costs, and focus on projects that differentiate their businesses instead of infrastructure. Proponents also claim that cloud computing allows enterprises to get their applications up and running faster, with improved manageability and less maintenance, and enables IT to more rapidly adjust resources to meet fluctuating and unpredictable business demand. Cloud providers typically use a "pay as you go" model. This can lead to unexpectedly high charges if administrators do not adapt to the cloud pricing model.
We offer the most appropriate Cloud computing solutions for your business need. Call Now 1-800-5628650 or Click the "Quote Form" button to get a detail solution quote.
