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The NVIDIA L40S Data Center GPU, provided by PNY, represents a significant leap forward in the realm of high-performance computing. This GPU is engineered to meet the demanding needs of modern data centers ….
Today, every high-performance computing (HPC) workload running globally faces the same crippling issue: Congestion in the network.
Congestion can delay workload completion times for crucial scientific and enterprise workloads, making HPC systems unpredictable and leaving high-cost cluster resources waiting for delayed data to arrive. Despite various brute-force attempts to resolve the congestion issue, the problem has persisted. Until now.
In this paper, Matthew Williams, CTO at Rockport Networks, explains how recent innovations in networking technologies have led to a new network architecture that targets the root causes of HPC network congestion, specifically:
– Why today’s network architectures are not a sustainable approach to HPC workloads
– How HPC workload congestion and latency issues are directly tied to the network architecture
– Why a direct interconnect network architecture minimizes congestion and tail latency
ST. LOUIS (SC25) — Nov 17, 2025 – Generative AI inference compute company d-Matrix and Andes Technology , a supplier of RISC-V processor cores, announced that d-Matrix has selected the AndesCore AX46MPV for its next-generation Raptor inference architecture. The companies said the collaboration represents a convergence of memory-centric computing and open-standard processor innovation for AI workloads […]
