Netweb Technologies has introduced Tyrone ParallelStor Velox, a Unified Data Platform aimed at addressing the data bottleneck in AI infrastructure. The platform is designed to enhance data access and processing speed for AI, HPC, and enterprise workloads.
As organisations expand AI workloads and deploy more powerful GPU clusters, a significant constraint has emerged. Despite advancements in compute performance, data infrastructure has not kept pace, leading to limitations in AI performance due to data bottlenecks.
Fragmented storage environments, duplicated datasets, and inconsistent access models are hindering AI pipelines, underutilising costly compute resources, and increasing operational complexity. ParallelStor Velox is built to tackle these issues by acting as a high-performance data backbone for AI-scale infrastructure.
Velox unifies data across flash, disk, tape, and cloud into a single global namespace, eliminating silos and enabling seamless, high-speed access across environments. This allows AI pipelines, analytics frameworks, and enterprise applications to operate on a consistent data layer without duplication or delays.
The platform is engineered for data velocity and scale, supporting advanced data path optimisation technologies. It offers high-throughput data pipelines to efficiently feed GPU clusters, concurrent access at scale for AI training, simulation, and analytics, and consistent performance across distributed environments. Velox also eliminates redundant data copies across file and object workloads and supports NVIDIA GPUDirect Storage, enabling direct data transfer between storage and GPU memory, bypassing CPU overhead and significantly reducing latency for AI/ML workloads.
ParallelStor Velox is designed for data-intensive, high-growth sectors, including AI & HPC, government and public sector, and BFSI. It provides a single unified data platform across on-prem and cloud environments, multi-protocol access on the same dataset, and policy-driven data lifecycle management.
Swastik Chakraborty, VP of Netweb Technologies, stated, “AI infrastructure is only as effective as the data layer behind it. With Tyrone ParallelStor Velox, we are enabling organisations to move beyond fragmented storage and adopt a unified data platform that can keep pace with AI, HPC, and enterprise workloads at scale.”
Disclaimer: This article is based on a regulatory filing submitted to the National Stock Exchange of India (NSE).