NetApp Asia Pacific (@NetAppAPAC) header
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The intelligent data infrastructure company. Making your data infrastructure more seamless, more dynamic, and higher performing than ever before.

Joined August 2012
Attackers keep getting smarter. So does @MahindraRise's resilience strategy. Crash tests and simulations generate massive amounts of engineering data. Lose it, and you lose months of work. See how Mahindra built for that moment: ntap.com/4ifGxd3
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APAC doesn’t have a GPU problem. It has a data problem. That’s the takeaway from NetApp’s conversation with KBI Media: scaling AI means tackling silos, cost, security & sovereignty first. Catch the full conversation: bit.ly/4i8Ta9T
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A sketch in Italy. A prototype in Chennai. A vehicle tested in VR before it exists. @MahindraRise is bringing AI into design, production & delivery. But ambition means nothing without the right data foundation underneath it. This is that story: ntap.com/4Bntdeb
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#1 commercial EV maker in the world's most populated country. 40% market share. Nearly 80 years of moving people, farms, and industries. Every one of them starts with data. Just ask @Mahindra_Auto. See how they turned data into their edge: ntap.com/4eAyIw6
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Fastest hardware on the market + wrong software = headroom you'll never touch. That was the consensus from 280 attendees at the SNIA India Storage Meetup 2026. Honest, vendor-neutral, and worth your time. Watch the session: bit.ly/4zaXifH
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Big moves in ANZ 🇦🇺🇳🇿 Three new leaders with one mission to help every ANZ organisation build data infrastructure that's secure, resilient, and AI-ready. Welcome Sally Hakim, Andrew Moffatt & Bridget Maritz 👏 Meet them → bit.ly/3UwJoVT
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NetApp leads in in All-Flash External OEM Storage Systems (SAN/NAS ex HCI) in India for eight consecutive quarters from 2024Q3 to 2026Q2 as per the @IDC Worldwide Quarterly Enterprise Storage Systems Tracker 2026Q2 (Sep 2026 release). Thank you for building with us: ntap.com/3VEDCC0
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Everyone's debating which AI model to use. Wrong argument. Join us & @acecloudai to answer 3 questions that decide if your AI actually works: 👉 Can your data reach the model? 👉 Is it governed & protected? 👉 Can you scale without rebuilding? bit.ly/4xxXGmF
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The bottleneck in enterprise AI was never the model. It's data that's scattered, stuck, and siloed. In our webinar with @acecloudai, we're flipping the premise to stop asking which model wins and start asking if your data can even reach it. Register: bit.ly/4xxXGmF
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If there’s a site failure at 2:00 AM, your VCF management domain either survives it or it doesn’t. No middle ground. At Sydney VMUG, see one problem, two architectures—plus greenfield, brownfield, pitfalls, and best practices. Free to attend, register: bit.ly/4xXaLXP
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More data centers. More racks. More cloud. AI readiness? Still stuck. Compute was never the bottleneck. Your data is. 1️⃣ Cloud capacity is a commodity 2️⃣ AI amplifies your gaps too 3️⃣ Treat data as infrastructure, not exhaust Read more: bit.ly/4xuds1Y
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GPUs sitting idle, starving for data. That's the real AI bottleneck. Join NetApp & @F5 on 16 Sept in Singapore to: 👉 Kill GPU starvation 👉 Connect your silos 👉 Go quantum-safe Register while seats last: bit.ly/46qP327
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