Netweb Technologies Introduces Tyrone ParallelStor Velox, a Unified Data Platform for AI and HPC
Netweb Technologies has unveiled Tyrone ParallelStor Velox, a unified data platform featuring parallel file system capabilities designed to tackle the critical data bottleneck currently impacting modern AI infrastructure and high-performance computing (HPC) workloads.The company stated that as organizations scale their AI workloads and deploy increasingly powerful GPU clusters, a fundamental constraint has emerged. While compute performance has advanced rapidly, the required data infrastructure has not kept pace. The core limitation, according to Netweb, is that AI performance is no longer limited by compute but by data.
Velox is engineered to solve the complexities arising from fragmented storage environments, duplicated datasets, and inconsistent access models that typically slow down AI pipelines and increase operational complexity.
Data Backbone for AI-Scale Infrastructure
Acting as a high-performance data backbone, Velox ensures that data can be accessed, moved, and processed at the speed demanded by modern compute systems. By unifying data across flash, disk, tape, and cloud into a single global namespace, the platform eliminates data silos, enabling seamless, high-speed access across various environments. This capability allows AI pipelines, analytics frameworks, and enterprise applications to operate using one consistent data layer, without suffering from duplication or delays.The platform was specifically designed for data velocity and scale, moving beyond traditional storage architectures that prioritized only capacity. To further accelerate AI data pipelines, Velox supports several advanced data path optimization technologies:
- High-throughput data pipelines to feed GPU clusters efficiently.
- Concurrent access at scale for AI training, simulation, and analytics.
- Consistent performance across distributed environments.
- Support for NVIDIA GPUDirect Storage, which enables direct data transfer between storage and GPU memory. This bypasses CPU overhead, significantly reducing latency for AI/ML workloads.
Unifying Data in Hybrid Environments
Addressing the inefficiency caused by operational fragmentation across data centers, edge locations, and multi-cloud environments, Velox provides a single unified data platform for both on-prem and cloud settings.It offers multi-protocol access on the same dataset, supporting POSIX, NFS, SMB, S3/Swift, and Hadoop. Furthermore, the platform incorporates policy-driven data lifecycle management. This capability automatically places data on the appropriate tier—from high-performance flash to cost-efficient object storage or tape—without requiring changes to how users and applications access the data.
Key Capabilities and Target Sectors
ParallelStor Velox is built for data-intensive, high-growth sectors, including:| Sector | Use Cases |
|---|---|
| AI & HPC/Research | Powering model training, simulations, and advanced analytics. |
| Government & Public Sector | Enabling sovereign data infrastructure with unified control and compliance. |
| BFSI | Supporting real-time analytics, risk modeling, and regulatory data environments. |
The platform also delivers robust, core functionalities, including:
| Capability | Description |
|---|---|
| AI-Ready Data Backbone | Optimized for high-throughput, low-latency access. |
| Unified Data Platform | Single global namespace across all storage tiers. |
| Parallel Performance | High IOPS and throughput with built-in scalability. |
| Multi-Protocol Access | Supports POSIX, NFS, SMB, S3/Swift, and Hadoop. |
| Intelligent Data Lifecycle Management | Automated, cost-efficient data tiering. |
| Security & Resilience | Built-in protection and governance features. |
Swastik Chakraborty, VP at Netweb Technologies, stated, "AI infrastructure is only as effective as the data layer behind it. Without high-performance data pipelines, even the most advanced compute systems remain underutilized." He added that with Tyrone ParallelStor Velox, organizations can move beyond fragmented storage and adopt a unified data platform capable of keeping pace with AI, HPC, and enterprise workloads at scale.
Netweb Technologies is described as India's leading high-end computing solutions (HCS) provider, with fully integrated design and manufacturing capabilities. Founded in 1999, Netweb's HCS offering encompasses HPC, Private cloud and HCI, AI Systems, High performance storage (HPS), and Data Centre Servers. The company, headed by Sanjay Lodha, Chairman and Managing Director, maintains a customer-centric approach and has manufacturing facilities in Delhi - NCR, alongside 18 offices across India.
NETWEB Stock Price Movement
On Tuesday, Netweb Technologies India Limited shares gained 2.33%, finishing the session at ₹4002.2. The stock saw substantial trading activity, moving 1.69 million shares throughout the day.Disclaimer: Due care and diligence have been taken in compiling and presenting news and market-related content. However, errors or omissions may arise despite such efforts.
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