The allure of “technology resource disaggregation” – a.k.a., composable computing – doesn’t get old. It’s an ingenious yet common-sense strategy for addressing our increasingly heterogeneous HPC-AI world where no single system can cost-effectively satisfy the range of workloads needed to be kept in play, each workload having its own unique combination of system requirements that would otherwise produce, in a single system, “marooned” resources that sap budgets. Put another way, with a composable HPC infrastructure there are pools of compute, memory, and storage resources enabling the dynamic assembly of customized nodes on a per-workload basis, offering configuration of “Goldilocks” solutions.
HPC Predictions 2021: Quantum Beyond Qubits; the Rising Composable and Memory-Centric Tide; Neural Network Explosion; 5G’s Slow March
January 4, 2021 by
Annual technology predictions are like years: some are better than others. Nonetheless, many provide useful insight and serve as the basis for worthwhile discussion. Over the last few months we received a number of HPC and AI predictions for 2021, here are the most interesting and potentially valid. Let’s check in 12 months from now […]
Intel Partners with Lightbits Labs for Disaggregated Storage
September 30, 2020 by
Santa Clara, Calif., Sept. 29, 2020 – Intel Corp. and Lightbits Labs today announced an agreement to propel development of disaggregated storage solutions to solve the challenges of today’s data center operators who are craving improved total-cost-of-ownership (TCO) due to stranded disk capacity and performance. This strategic partnership includes technical co-engineering, go-to-market collaboration and an Intel […]
Video: GigaIO on Optimizing Compute Resources for ML, HPDA and other Advanced Workloads
September 9, 2020 by
In this interview, GigaIO CEO Alan Benjamin talks about systems performance problems and wasted compute resources when implementing ML, HPDA and other high demand workloads that involve high data volumes. At issue, Benjamin explains, is today’s rack architecture, which is decades old and unsuited for combinations of CPUs, GPUs and other accelerators needed for advanced computing strategies. The answer: the “composable disaggregated infrastructure.”
