Camberley Bates describes SoftIron’s distinctive approach within the Hybrid Cloud Infrastructure market, highlighting its appeal to sectors with zero-trust and high-security requirements. SoftIron stands out by manufacturing its own hardware for compute, network, and storage in the US and Australia, with a software foundation geared towards high-security standards. Their systems can scale significantly beyond the usual limitations of HCI, supporting large clusters with high performance, even in HPC or image processing contexts. The article notes SoftIron’s unique architecture, including a stateless device setup and control plane integration in top of rack networking nodes, and mentions the intention to further investigate their data management and system interface.
Platform Engineering & FinOps Converge
Platform9 stands at the forefront of innovative Kubernetes management, blending platform engineering expertise with FinOps principles to tackle over-provisioning and optimize resource allocation. Their Managed Kubernetes service revolutionizes deployment and operational management, enhancing both operational efficiency and financial optimization for enterprises. With the introduction of Elastic Machine Pool—targeting AWS EKS clusters—Platform9 commitments to substantial cost savings and improved compute utilization, evidencing a future where technical prowess meets financial prudence in cloud infrastructure management. Read more in this analyst note from The Futurum Group by Steven Dickens and Camberley Bates.
Introduction to NeuroBlade
At Cloud Field Day 19, NeuroBlade introduced their innovative SPU solution, which joins the ranks of xPUs designed to boost data processing beyond traditional CPU or GPU capabilities. Their SPU, a PCIe bus-inserted hardware accelerator, is integrated through the DAXL API and SDK, showing promise in Presto, with plans to expand to Spark and Clickhouse, touting substantial performance claims of a 30x improvement. NeuroBlade’s pitch is particularly compelling in the big data era, where their technology could drastically cut the number of servers needed for large workloads, signaling a potentially transformative impact on cost, space, and power efficiency in data analytics. Read more in this LinkedIn Pulse article by Camberley Bates of The Futurum Group.