Ongoing NVIDIA Collaboration Fuels Unmatched Efficiency and Effectivity in AI Information Administration
DDN, a number one drive in AI knowledge intelligence, right this moment set a brand new customary in AI and HPC knowledge administration with the launch of trailblazing upgrades to its knowledge intelligence platform at Supercomputing 2024 in Atlanta. Inbuilt shut collaboration with NVIDIA, these developments give organizations unmatched energy to scale and optimize AI knowledge operations—delivering effectivity, seamless scalability, and the form of ROI that fuels enterprise progress and innovation.
On the core of this innovation is DDN’s deep integration with NVIDIA, bringing unparalleled efficiency enhancements to AI and HPC workloads. With the debut of DDN’s next-generation A³I knowledge platform, the AI400X3 organizations can now obtain a staggering 60 % efficiency enhance over earlier generations. This enhance interprets to sooner AI coaching, real-time insights, and smoother knowledge processing, giving enterprises the agility to make fast choices and achieve a aggressive edge in right this moment’s data-driven panorama.
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“At DDN, we’re all about tearing down the roadblocks that corporations hit after they attempt to scale AI and HPC,” mentioned DDN Chief Know-how Officer, Sven Oehme. “From managing large knowledge hundreds to constructing out scalable infrastructure, we deal with these challenges head-on. With NVIDIA, we’re delivering high-powered platforms that flip knowledge into an actual aggressive weapon, serving to organizations transfer sooner, work smarter, and keep forward in a data-driven world.”
Future-Prepared Scaling and Effectivity
DDN’s present knowledge platform is designed to offer options that meet the calls for of right this moment whereas making ready enterprises for tomorrow’s challenges. Centered on balancing efficiency with cost-efficiency, DDN’s new enhancements deliver vital scalability and AI-focused efficiency. The AI400X2 and AI200X2 choices now assist denser disk enclosures, lowering prices per petabyte and preserving useful knowledge heart area. Key capabilities embrace:
- AI400X2 Equipment: Elevated QLC flash assist, now dealing with as much as 5 QLC home equipment per rack, setting the bar for low-cost, high-capacity storage.
- AI200X2 Equipment: Expanded HDD assist, now scaling as much as 20 PB per rack, making it a great answer for cost-sensitive environments like universities and analysis establishments targeted on HPC workloads.
For companies the place fast knowledge insights are essential, these platforms permit easy scaling, dealing with extra knowledge, and accelerating AI initiatives—all whereas sustaining a low operational footprint and minimal added prices.
Enterprise-Prepared Options for Simplified, Safe AI Operations
Because the complexity of AI and HPC deployments grows, DDN’s EXAScaler platform introduces enterprise-friendly options that streamline knowledge administration, optimize efficiency, and improve safety. Key improvements embrace:
- Shopper-Facet Compression: This distinctive characteristic reduces knowledge measurement with out impacting efficiency, overcoming server-side compression points that plague competing options. In contrast to opponents, that suffer from efficiency drops when compression is enabled, DDN’s client-side strategy retains operations at full velocity.
- Enhanced Multi-Tenancy and Safety: DDN’s EXAScaler software program now options native, easy-to-use multi-tenancy, permitting safe knowledge segregation for cloud suppliers and multi-user enterprise environments. Moreover, the EXAScaler Administration Framework (EMF) gives superior monitoring and well being reporting instruments, guaranteeing enterprises can confidently handle advanced knowledge landscapes, safeguarding operational integrity in an easy-to-use method.
These new enhancements and options embody the facility of collaboration, effectivity, and scalability, readying enterprises for an AI-driven future. Attendees at SC24 are invited to go to DDN at sales space #2431 to discover these improvements and uncover how DDN’s options can remodel their knowledge challenges into alternatives.
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