HFCL launches 'OptiQ AI' brand to target hyperscale and AI data centre market
New Delhi, July 8
HFCL Limited has given a unified identity to its optical connectivity business with the launch of OptiQ AI, a brand aimed at serving the high-bandwidth needs of AI, cloud and hyperscale data centres.
The company said on Wednesday in a press release that the move brings together its existing range of optical fiber cables and accessories under one framework designed for next-generation data networks.
"HFCL assigns a unified identity, OptiQ AI, to its existing optical connectivity portfolio serving AI, cloud and hyperscale data centre customers," the company said in a statement.
HFCL said OptiQ AI is built to meet the demands of large GPU clusters that are scaling toward 100,000 GPUs. The portfolio is positioned around five pillars: High Quality, Quantum Bandwidth, Densely Quantified, Quick Rollout and Q-Class Uptime.
"The OptiQ AI portfolio is positioned to support high-bandwidth, high-density and rapid-deployment requirements of next-generation AI data centre networks," HFCL said.
The integrated offering includes HFCL's Intermittently Bonded Ribbon (IBR) cables, fiber assemblies, patch cords, pigtails, trunks, and high-density cassettes and enclosure panels.
"This integrated portfolio brings together HFCL's established data centre optical fiber cables and accessories offerings, including IBR cables, fiber cable assemblies, patch cords, pigtails, trunks, cassettes and enclosure panels."
For hyperscalers, the company said the benefits are faster rollouts and reduced complexity. "For hyperscalers, this means faster deployment cycles, reduced interoperability risks, and future-ready infrastructure supporting seamless migration to 800G and 1.6T networks."
Managing Director Mahendra Nahata said optical connectivity has become central to AI infrastructure.
"Optical connectivity has moved from being a supporting layer of data centre infrastructure to becoming one of the defining foundations of the AI era. As AI clusters scale and bandwidth requirements rise sharply, customers need reliable, high-density and deployment-ready optical connectivity solutions," he said.
Nahata pointed to the growth potential, noting "Industry reports project the AI optical market will grow from USD 14 billion today to USD 73 billion by 2030 driven by increasing investments in AI data centres, high-performance computing infrastructure and hyperscale cloud networks."
He added that supply chains are concentrated in few geographies, creating an opening for India. "HFCL believes that India has a meaningful opportunity to participate in this global shift by offering competitively manufactured, high-quality optical connectivity solutions from a resilient and agile supply chain."
— ANI
Reader Comments
Good move by HFCL! But I hope they also focus on making these solutions affordable for smaller Indian data centres, not just hyperscalers. India's AI ecosystem needs scalable options at all levels, not just premium products for big players.
Interesting development. I work in data centre infrastructure in the US, and we're seeing similar trends. The 800G and 1.6T migration is definitely coming sooner than expected. Good that HFCL is future-proofing. But supply chain concentration is a real issue - glad India is stepping up.
As someone from Bengaluru's tech hub, this is promising! The 'five pillars' framework sounds solid - especially Quick Rollout and Q-Class Uptime which are critical for AI workloads. But I wonder about the actual performance metrics vs international brands like Corning or Prysmian. Chalo, let's see actual deployments first.
This is exactly the kind of innovation India needs. The move to unify the optical connectivity portfolio under one brand makes sense for large-scale deployments. My company is looking at setting up AI clusters here, and having local suppliers like HFCL reduces dependency on foreign vendors. Win-win!
Impressive strategy from HFCL. The AI data centre market is exploding, and optical connectivity is indeed the backbone. My only concern: are we sure the 'Made in India' quality can match global standards for hyperscale deployments? Hope they have rigorous testing in place. But still, proud to see Indian companies innovating! 🙌
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