IBM and Arm Collaborate on AI-Ready Enterprise Computing

IBM 🤝 Arm We’re teaming up to develop new dual-architecture hardware for future AI and data-intensive workloads. What does this mean for enterprise computing? 🔹 Expanded virtualization for Arm-based software 🔹 High-availability and security 🔹 Long-term ecosystem growth and workload portability Get the details: https://ibm.co/6048EyQ36

Really interesting to see IBM and Arm come together on this. A step toward giving clients more flexibility in how they think about AI and hybrid cloud architectures. Especially when balancing performance, efficiency, and long-term scalability.

We’re teaming up to develop new dual-architecture hardware for future AI and data-intensive workloads. What does this mean for enterprise computing? Learn more ⬇️

IBM has a rich history of integrating high value co-processors into their systems to accelerate workloads at the speed of business. * Integrating compression engines to speed up data flows and deliver 50% faster java applications than others * Encryption engines to deliver in-transaction, quantum safe encryption and security * Inference engines to deliver in-transaction accelerated AI execution * Best in class virtualization cross-system supporting IBM and Industry standard hypervisors All with 8-9's of availability, in the same physical footprint, with extreme power efficiency and a 10-15x reduction in core counts reducing software costs by 75% and data center floor space by 70%! One can only imagine what ARM will bring to this IT Infrastructure "Swiss Army Knife" Cloud-in-a-Box!! 🤔 Stay tuned!

IBM 🤝 Arm are teaming up to develop new dual-architecture hardware for future AI & data-intensive workloads. What does this mean for enterprise computing? 🔹 Expanded virtualization for Arm-based software 🔹 High-availability & security 🔹 Long-term ecosystem growth & workload portability Get the details: https://ibm.co/6048EyQ36

Visibility alone doesn't reduce K8s spend. IBM Cloudability Advanced Containers turns cost insights into automated actions — rightsize requests, schedule turndown, and trace network costs across clusters and workloads. Read more in our blog: https://ibm.co/6047EJ3XX

Q1 was active across the board. Oracle, VMware, Microsoft, IBM — all moving in different ways, but with a common theme: More pressure on customers to engage. What stands out most: Many of these situations start with a conversation that seems routine. That's where the outcome is often shaped. Q2 will likely be more active, especially heading into Oracle EOFY. Worth being prepared now rather than later. https://hubs.la/Q048nJFQ0

The focus of virtualization has evolved far beyond traditional server consolidation. Today’s goal is to build agile, resilient platforms that can unify mission-critical workloads and AI inference, side-by-side. This requires a new phase in platform strategy—one focused on simplifying execution environments to regain architectural control. Red Hat's Ed Hoppitt shares his insights on a journey from a complex present to a unified future. ➡️ https://lnkd.in/d9i-eUHk

The focus of virtualization has evolved far beyond traditional server consolidation. Today’s goal is to build agile, resilient platforms that can unify mission-critical workloads and AI inference, side-by-side. This requires a new phase in platform strategy—one focused on simplifying execution environments to regain architectural control. Red Hat's Ed Hoppitt shares his insights on a journey from a complex present to a unified future. ➡️