announced on Wednesday the launch of Tyrone ParallelStor Velox, a unified data platform with parallel file system capabilities, targeting the growing data throughput gap in AI and high-performance computing infrastructure.
The Faridabad-based company said the product is designed to address a core constraint in AI deployments — that GPU clusters are increasingly starved of data rather than compute power.
Velox consolidates storage across flash, disk, tape, and cloud into a single global namespace, supporting multi-protocol access including POSIX, NFS, SMB, S3/Swift, and Hadoop on the same dataset.
Key technical features include support for NVIDIA GPUDirect Storage, which allows data to transfer directly between storage and GPU memory without CPU involvement, reducing latency for AI model training workloads. The platform also offers automated data tiering and policy-driven lifecycle management.
Netweb is positioning Velox for sectors including AI research, government, and banking and financial services, with particular emphasis on sovereign data infrastructure — a growing priority for Indian public sector and defence-adjacent deployments. The company stated the product is built in India.
“AI infrastructure is only as effective as the data layer behind it,” said Swastik Chakraborty, VP at Netweb Technologies, adding that fragmented storage environments leave expensive compute resources underutilised.
NETWEB shares were trading at ₹4,030.80 on the NSE as of 11.27 am Wednesday, up 0.71 per cent from the previous close of ₹4,002.20. The stock has returned approximately 177 per cent over the past year against a Nifty 500 return of roughly 4 per cent in the same period, and carries a trailing P/E of 127.87. Total market capitalisation stands at approximately ₹22,963 crore.