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Just back from the HPE Accelerate Roadshow today. Two things jumped out:
⚡ How businesses are slowly starting to bring AI into real IT strategies.
💰 How HPE is helping customers cut up to 90% of VM license costs with Private Cloud + Morpheus.
Big shifts are happening in how IT leaders manage cost, modernization, and AI adoption.
👉 Curious how this could play out in your environment? Let’s talk.
#HPE#AI#Cloud#Soroc
Chief Operating Officer, Hybrid Cloud at Hewlett Packard Enterprise |
Former Chief Strategy Officer at HPE | Former Bain Partner
Even enterprises with clear AI uses cases and ample funding struggle to adopt AI. At HPE Hybrid Cloud, we recognize the adoption barriers - overcoming data silos, navigating regulations, technical complexity of stitching together AI systems for production. Our HPE Private Cloud AI offering was designed from the ground up in partnership with Nvidia to address these challenges head-on and help enterprises accelerate AI time-to-value.
We are seeing tremendous customer response but also gaining public recognition. I'm excited to share that recently HPE was recognized by IDC as the leader in Private AI Infrastructure.
https://lnkd.in/g64mZWaW
With UK MoD looking to procure innovative technologies in months and not years, as per the 2025 SDR, Defence Industry/Primes must further their own adoption of AI, both for internal operational efficiencies and through a solution lense for their customers.
Hewlett Packard Enterprise Private Cloud AI, as per IDC, 2025, provides a truly turnkey hardware/software stack, coengineered with NVIDIA, which can operationalise disconnected enviornments in AI in weeks as opposed to years.
For more info please see link below or reach out directly for a chat.
Chief Operating Officer, Hybrid Cloud at Hewlett Packard Enterprise |
Former Chief Strategy Officer at HPE | Former Bain Partner
Even enterprises with clear AI uses cases and ample funding struggle to adopt AI. At HPE Hybrid Cloud, we recognize the adoption barriers - overcoming data silos, navigating regulations, technical complexity of stitching together AI systems for production. Our HPE Private Cloud AI offering was designed from the ground up in partnership with Nvidia to address these challenges head-on and help enterprises accelerate AI time-to-value.
We are seeing tremendous customer response but also gaining public recognition. I'm excited to share that recently HPE was recognized by IDC as the leader in Private AI Infrastructure.
https://lnkd.in/g64mZWaW
Cutting obvious waste is just the beginning. Sustaining savings and keeping cloud spend predictable requires ongoing visibility, smarter auditing and AI-powered insights.
In the second note of our Cloud Cost Optimization series, we outline the practices and tools that make cost optimization proactive rather than reactive, from real-time dashboards to anomaly detection and smarter audits.
👉 Read Part 2 here: https://lnkd.in/dG4PcJtt
Stay tuned for the final part, where we’ll share a full success story showing how these principles transform cloud environments from wasteful to efficient.
#CloudOptimization#CloudCostManagement#FinOps#CloudComputing#AI
As generative AI adoption accelerates, one of the biggest strategic decisions organizations face is: cloud or on-premise?
Lenovo’s in-depth analysis of the total cost of ownership (TCO) for GenAI workloads provides compelling insights: while cloud offers flexibility and low initial cost, sustained workloads tip the balance in favor of well-utilized on-premise infrastructure.
The key is in planning for utilization, scale, and longevity — and matching the solution that best fits your AI roadmap.
#GenerativeAI#InfrastructureStrategy#CloudVsOnPrem#AICosting#TCO#EnterpriseAI#TechLeadership#AIInfrastructure #DigitalTransformationSumir Bhatia
A powerful* on-premise Generative AI server.
The BIG question for businesses is whether to invest in on-premise or cloud infrastructure for their AI workloads.
We have answers! Our research shows cloud's exceptional strength for dynamic workloads and rapid experimentation, while on-premises infrastructure delivers outstanding value for consistent, high-utilization scenarios.
The sweet spot?
Organizations typically benefit from on-premises solutions at 5-9 hours of daily usage.
A diversity of options means organizations can control their AI futures. Some begin with cloud agility and evolve toward on-premises scale. Others embrace hybrid environments from inception.
AI wisdom emerges from understanding when each approach best serves your mission and values.
To help you make an informed AI choice, here is our On-Premise vs Cloud research: https://bit.ly/OnPremTCO
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*The Lenovo ThinkSystem SR675 V3 is ideal for Generative AI because it supports eight double-wide GPUs 💪🏽
5 Cloud Strategies for Mission-Critical Data in the Age of AI
Struggling with cloud sticker shock?
You're not alone. 70% of enterprises face unnecessary cost overruns in their cloud environments.
The good news? Proven solutions exist to tackle these challenges.
Watch this essential 40-minute webinar from Atos and Silk: “5 Cloud Strategies for Mission-Critical Data in the Age of AI.” We’ll discuss:
🚀 Closing the gap between cloud promises and reality
💸 Tackling unexpected costs with FinOps strategies
⚡ Achieving the performance AI and analytics demand
Watch now ➡️ https://lnkd.in/dKM_8K2P#CloudStrategy#FinOps#AIready
We’re entering the mass adoption phase of #AI.
According to the 2025 Gartner Hype Cycle, #Cloud AI Services have moved past the buzz and into large-scale rollout.
That means one thing: growing demand for cloud professionals who can build and manage AI workloads.
Find out which roles are growing fastest – and how to best prepare.
Read the full breakdown: AI Hype vs Reality: What It Means for Cloud Jobs in 2026
👉 https://lnkd.in/eWx7pDXJ#cloudcomputing#techcareer#cloudjobs
Every company is asking the same question...
How do we turn AI from a concept into real business value — safely, quickly, and at scale?
Larry Ellison’s #AIWorld keynote answers that question, showing how Oracle's cloud infrastructure and data capabilities are powering AI-driven innovation across every industry.
🎥 If you missed it live — don’t miss it twice... see what’s possible: https://lnkd.in/gGVqCaTX
Cloud modernization isn’t just about moving infrastructure. It’s about rethinking how your business operates. With the right strategy, it can unlock agility, cut costs, and fuel innovation. Done wrong, it can create more problems than it solves.
Discover practical ways to modernize smarter, from choosing the right starting point to balancing scalability and cost. https://okt.to/gwX1Z3#CloudModernization#DigitalTransformation#AI
Cloud modernization isn’t just about moving infrastructure. It’s about rethinking how your business operates. With the right strategy, it can unlock agility, cut costs, and fuel innovation. Done wrong, it can create more problems than it solves.
Discover practical ways to modernize smarter, from choosing the right starting point to balancing scalability and cost. https://okt.to/H2rG9t#CloudModernization#DigitalTransformation#AI
Project Manager at Gotham Drywall Inc
1moWhat’s HPE?