Netweb Technologies shares hit 10% upper circuit; end 8-day losing streak

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In the last two months, Netweb's share price crashed 57% to touch its 52-week low of ₹1,304.25 on Feb 18, 2025, retreating from its all-time high of ₹3,060 hit on Dec 17, 2024.

Netweb Technologies shares surge 10% on Feb 19
Netweb Technologies shares surge 10% on Feb 19

Ending eight sessions losing streak, shares of Netweb Technologies rallied 10% in early trade on Wedneday after the high-end computing solutions (HCS) provider launched Make-in-India AI technology platform Skylus.ai. In the past eight trading days, the IT stock eroded 25% of its market value amid broad-based correction in smallcap stocks.

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Early today, Netweb Technologies share price opened marginally down at ₹1,331.95 on the BSE, after ending 2.35% lower at ₹1,340.50 in the previous session. Paring opening loses, the smallcap IT stock gained as much as 10% to hit its upper circuit limit of ₹1,474.55, while the market capitalisation climbed to ₹8,354 crore.

In the previous session, Netweb Technologies shares touched its 52-week low of ₹1,304.25, dropping 57% in the last two months from its all-time high of ₹3,060 touched on December 17, 2024. In the last six months, the stock has fallen 39%, while it declined over 2% in a year.

In an exchange filing this morning, Netweb Technologies informed that it has launched of new product Skylus.AI, a composable graphics processing unit (GPU)  management solution aimed at simplifying artificial intelligence (AI) infrastructure.

"We are thrilled to unveil Skylus.ai, a revolutionary, Make-in-India AI technology platform poised to transform AI infrastructure and GPU resource management,” said Sanjay Lodha, chairman and managing director (CMD), Netweb Technologies.

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“More than just a tool, Skylus.ai is a catalyst for AI-driven transformation, setting new benchmarks in efficiency, innovation, and performance. To top it, these innovations are all Made in India," he added.

What is Skylus.AI?

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Skylus.ai is an appliance designed to optimise GPU resource management across multi-vendor environments, offering faster ideation, fosters collaboration, and accelerates experimentation while optimising resource utilisation and total cost of ownership.

At a time when AI workloads are expanding rapidly, businesses are struggling with GPU wastage, inefficiencies, and infrastructure bottlenecks, resulting in slowing AI adoption and innovation. Skylus.ai addresses these pain points with an intelligent, scalable, and vendor-agnostic solution. It optimises AI workloads, reduces GPU wastage, and optimises resource management, enabling businesses to focus on AI innovation - not infrastructure issues.

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As per the company, Skylus.ai simplifies the integration of multi-vendor GPUs and CPUs, enabling the creation of tailored workspaces that align with specific workload needs.

The platform also uses Tyrone Kubyts, a workbench featuring a pre-tested, pre-built, optimised, and qualified set of curated container images in the form of an Image marketplace. This allows users to access packaged containers or VM disk images that are ready to deploy, saving time and reducing the complexity of application deployment from scratch.

In addition to its advanced resource management capabilities, Skylus.ai integrates seamlessly with Tyrone HyperScale NAS—ParallelStor, a hyperscale storage solution that supports file and object access, ensures throughput and latency, and manages large volumes of small files with ease. This integration eliminates the need for multiple data copies and supports global data management across on-premises and cloud environments. 

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