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With AI for Virtual Infrastructure, SolidFire has uniquely demonstrated the ability for enterprises to easily and efficiently accommodate the demands of mixed workloads from a single storage platform. Leveraging SolidFire’s unique QoS capabilities, storage policies can be provisioned and enforced to isolate each workload while running simultaneously within a shared infrastructure. Demonstrating the mixed workload capabilities of architecture through the validation process, concurrent operations run on the AI design included:
· Boot storm of 200 VMware Horizon View desktops
· 2 hosted Oracle OLTP database workloads running approximately 230,000 TPM
· MongoDB job running 70 concurrent threads
· Inline data reduction, including deduplication, compression and thin provisioning, driving 13.5x efficiency rates across all three workloads
“Enterprise IT departments are under considerable pressure to deliver IT services with greater speed, agility and efficiency than ever before,” said SolidFire’s Founder and CEO Dave Wright. “AI for Virtual Infrastructure provides enterprises with a proven roadmap for deployment that takes advantage of the scalability, automation and guaranteed performance control native to SolidFire’s all-flash array. With AI, customers confidently consolidate mixed workloads onto a single platform in significantly less time, with less space and for less money than alternative converged infrastructure offerings.”
The second in a series of Agile Infrastructure (AI) designs, AI for Virtual Infrastructure joins SolidFire’s existing AI for OpenStack offering. With SolidFire AI, IT departments can confidently design and deploy a dynamic IT infrastructure to help them achieve greater infrastructure agility, automation, predictability and scale.
