How to commercialise Quantum-as-a-Service: QuEra's approach

Secure multitenancy is one of the critical features of enterprise data storage in a shared infrastructure. NetApp has delivered best-in-class storage with this feature for over two decades. And now the Nebul neocloud is taking advantage of this feature to power their inferencing service. From the article, "In fact, Nebul tested multiple providers and the combination of the performance they were looking for and the multi-tenancy they required 'we only managed to achieve with NetApp,' says Juffer." Check out the rest of the article. https://lnkd.in/ge5_FNRs #netapp #nebul #artificialintelligence #neocloud

Maximizing Cloud Observability ROI Achieving a high return on investment (ROI) from cloud deployments requires more than just adopting cloud technologies; it necessitates a robust approach to cloud observability. Organizations often face challenges such as incompatible data sources, tool sprawl, and performance bottlenecks, which can hinder their ability to monitor and optimize cloud environments effectively. To overcome these obstacles, it's crucial to implement integrated observability solutions that provide comprehensive visibility across multi-cloud infrastructures. By addressing the eight key challenges identified in recent studies, businesses can enhance their operational efficiency, reduce downtime, and make informed decisions that drive value from their cloud investments. Tags: InfoWorld GovExec Tech Target #CloudObservability #DevOps #ROI #CloudFinOps #EnterpriseIT Source: https://lnkd.in/gmBdSi39

🚀 Fast, Low-Latency File Storage with QuantaStor 🚀 In modern HPC, AI, and enterprise environments, performance bottlenecks often come down to two key factors: storage latency and CPU overhead. That’s where NFS over RDMA (RoCE) comes in — delivering zero-copy, low-latency data transfers that accelerate workloads and improve efficiency. In our latest blog, we break down: 🔹 How NFS over RDMA enables ultra-fast data movement 🔹 Why lossless Ethernet networks with PFC and ECN are essential 🔹 The key configuration steps to deploy NFS over RDMA with QuantaStor 🔹 The real-world performance gains for data-intensive workloads If you’re optimizing infrastructure for AI, HPC, or large-scale enterprise use, this is a must-read. Find the full post here ➡️ https://lnkd.in/gnVsXru5 #OSNexus #QuantaStor #HPC #AI #StoragePerformance #RDMA #RoCE #DataInfrastructure #FileStorage #SDS

Running large language models (LLMs) in production isn’t just about clever prompts or model performance — it’s about scaling. The reality is that GPU capacity remains a major bottleneck, limiting throughput and slowing down even the most advanced AI systems. That’s where Vertesia’s Air Traffic Control comes in. It dynamically manages GPU and compute resources so your AI agents and services can adapt in real time, optimizing performance and capacity utilization. The result? Smarter scaling, smoother performance, and higher efficiency — even under heavy load. #AI #LLM #MachineLearning #Scalability #GPUs #MLOps #Vertesia

🚀 Google's Multi-Architecture Revolution: Axion ARM Joins x86 in Production Clusters Google is transforming cloud infrastructure by integrating Axion ARM processors alongside x86 in its real production clusters. This move represents a milestone in multi-architecture computing, allowing companies to run workloads optimized for each type of processor without compromises in performance or efficiency. 🔍 Keys to Multi-Architecture Deployment - ⚡ Hybrid Efficiency: Axion, Google's custom ARM chip, offers up to 50% more performance per core compared to equivalent x86 instances, ideal for AI-intensive and data-heavy workloads. - 🛠️ Seamless Compatibility: Google Cloud software supports seamless execution between architectures, with tools like gVisor and Firecracker for containers and VMs that dynamically migrate workloads. - 📈 Production Benefits: Companies are already using this setup to reduce energy costs and scale better, with Google handling orchestration in massive clusters that process petabytes of data daily. - 🔒 Challenges Overcome: Initially, heterogeneity complicated management, but innovations in compilers and runtime resolve binary and dependency issues, ensuring stability in critical environments. This evolution not only accelerates ARM adoption in the cloud but also redefines how organizations choose hardware for their applications. For more information, visit: https://enigmasecurity.cl #GoogleCloud #ARM #x86 #CloudComputing #AI #Technology #Infrastructure If you like this content, consider donating to Enigma Security to continue supporting with more news: https://lnkd.in/er_qUAQh Connect with me on LinkedIn to discuss trends in cybersecurity and cloud: https://lnkd.in/eKynt-sy 📅 Thu, 23 Oct 2025 03:36:56 +0000 🔗Subscribe to the Membership: https://lnkd.in/eh_rNRyt

The collaboration between Red Hat and Sylva is set to redefine the telecommunications landscape with advancements in 5G, edge computing, and AI. I found it interesting that the article emphasizes the necessity for service providers to evolve their infrastructure to become more agile and efficient. With rapid technological shifts, how do you see organizations adapting their strategies to meet these challenges?

🚀 Google's Multi-Architecture Revolution: Axion ARM Joins x86 in Production Clusters Google is transforming cloud infrastructure by integrating Axion ARM processors alongside x86 in its real production clusters. This move represents a milestone in multi-architecture computing, allowing companies to run workloads optimized for each type of processor without compromises in performance or efficiency. 🔍 Keys to Multi-Architecture Deployment - ⚡ Hybrid Efficiency: Axion, Google's custom ARM chip, offers up to 50% more performance per core compared to equivalent x86 instances, ideal for AI-intensive and data-heavy workloads. - 🛠️ Seamless Compatibility: Google Cloud software supports seamless execution between architectures, with tools like gVisor and Firecracker for containers and VMs that dynamically migrate workloads. - 📈 Production Benefits: Companies are already using this setup to reduce energy costs and scale better, with Google handling orchestration in massive clusters that process petabytes of data daily. - 🔒 Challenges Overcome: Initially, heterogeneity complicated management, but innovations in compilers and runtime resolve binary and dependency issues, ensuring stability in critical environments. This evolution not only accelerates ARM adoption in the cloud but also redefines how organizations choose hardware for their applications. For more information, visit: https://enigmasecurity.cl #GoogleCloud #ARM #x86 #CloudComputing #AI #Technology #Infrastructure If you like this content, consider donating to Enigma Security to continue supporting with more news: https://lnkd.in/evtXjJTA Connect with me on LinkedIn to discuss trends in cybersecurity and cloud: https://lnkd.in/eVfce3YM 📅 Thu, 23 Oct 2025 03:36:56 +0000 🔗Subscribe to the Membership: https://lnkd.in/eh_rNRyt

🚀 Quantum as a Service (QaaS) is redefining what’s possible for enterprises in 2025. From financial optimization to drug discovery and cybersecurity, QaaS is moving beyond theory—delivering measurable ROI and competitive advantage through cloud-accessible quantum computing. In our latest blog, we explore practical use cases, integration strategies, and real-world results showing how businesses are leveraging quantum power today. 🔹 Learn how QaaS is transforming industries 🔹 Understand the ROI drivers and adoption models 🔹 See what’s next for enterprise innovation 👉 Read the full article: https://lnkd.in/enn6iaYd #QuantumComputing #QaaS #EnterpriseTechnology #InnovationLeadership #QuantumAsAService #EnterpriseInnovation #DigitalTransformation #CloudComputing #AIandQuantum #TechStrategy #EmergingTech2025 #FutureOfIT #BusinessROI #TechConsulting #QuantumCloud #Industry40 #DataDrivenInnovation #SmartEnterprise #TechnologyTrends #QuantumRevolution #DigitalEnterprise #ITLeadership #CustomerExperience #OrangeCrystal #SiliconValleyTech #CXStrategy #ITStrategy #ITModernization #OrangeCrystalInfotech #Technology #BusinessInnovation #TechLeadership #Digitalisierung #TransformationDigitale #TransformacjaCyfrowa #Digitalisering

Accelerating open-source infrastructure development for frontier AI at scale In their latest blog, Microsoft Azure share how they’re redefining cloud infrastructure to power the next generation of AI: • They’re shifting from traditional cloud-scale to frontier-scale AI infrastructure, delivering massive performance expansions globally. • Innovations span power delivery (solid-state transformers, power-spike mitigation), cooling (liquid-cooling HXUs), and networking (rack-scale interconnects for thousands of GPUs). • Security, sustainability and standards: new contributions include open-source hardware root of trust, quantum-resistant cryptography, and industry-wide carbon and lifecycle-reporting efforts. • They invite collaboration, through industry forums like the Open Compute Project, to advance interoperability, scalability and resilience for AI infrastructure globally. #AIInfrastructure #OpenSource #CloudComputing #Azure #FrontierAI #Sustainability #TechStandards #DataCenterInnovation https://lnkd.in/eiySkHNv

Your AI strategy hinges on your infrastructure strategy. To power #AI, modernize with @Cisco AI-ready infrastructure from RST. . Only Cisco unifies networking, compute, security, and observability to run AI workloads in your data centers. Learn why.