The new European Right to Repair Directive is putting an end to one of the most expensive myths in the IT sector: that switching to “more efficient” hardware is always more sustainable. Right to Repair makes products easier and faster to refurbish. And in the IT world, this means completely rethinking our relationship with hardware.

The myth of “new hardware is always better”.

For years we have heard the same speech: “this server is already 5 years old, it has to be replaced”. But is that really the case, have you looked on paper if it is really worth changing that IBM Power9 just because it is no longer supported? Because you may be in for a surprise. The reality is much more complex and, above all, more expensive than it looks.

When you buy a new server, you don’t just pay sticker price. You pay:

• The carbon footprint of its manufacture
• Transportation from the factory
• Waste management of previous equipment
• Migration and configuration costs
• Lost productivity time during the transition

On the contrary, when you renew your existing hardware, you make the most of an already amortized investment and drastically reduce the environmental impact.

Let’s do green math: numbers don’t lie

The new right-to-repair regulations can extend the useful life of products by up to 10 years, which in IT terms translates into:

• 60-80% reduction in CO2 emissions compared to the purchase of new equipment
• Significant savings in operating costs
• 90% reduction in e-waste generated

Why are these numbers so favorable? Because the manufacturing phase accounts for 70-85% of the total carbon footprint of any IT equipment. Keeping a server running for 8-10 years instead of 3-5 is literally doubling its environmental efficiency.

Beyond hardware: software also counts

The right to repair in IT is not limited to hardware. It includes:

• Extended support for operating systems outside the official cycle. At SIXE we are committed to support outside the imposed life cycle and we can extend the useful life of Linux, AIX, Ceph, and other systems.
• Independent maintenance of databases such as DB2, Oracle or Informix.
• Security upgrades without the need to migrate the entire platform
• Continuous performance optimization instead of mass replacements

The right to redress: more than a law, a philosophy

“My supplier says it’s insecure.”

Manufacturers have obvious business incentives to sell new hardware. However, a properly maintained 2018 server can be more secure than a poorly configured new one.

“No spare parts available.”

With independent maintenance providers, the availability of spare parts extends years beyond what is offered by the original manufacturers.

“Performance will be lower.”

A 5-year-old optimized system can outperform a new one without proper configuration.

Our sustainable commitment at SIXE: to make it last as long as the hardware itself allows

At SIXE, we have been advocating this philosophy for years. Not because it’s a trend, but because the numbers prove it: an approach based on preventive maintenance, continuous optimization and intelligent reuse of resources generates better ROI than the traditional buy-use-pull cycle.

Our commitment to “make it last forever” is not marketing. It is engineering applied with economic and environmental criteria.

Conclusion: the future is circular, not linear.

The right to repair in IT is not a regulatory imposition. It is an opportunity to rethink how we manage enterprise technology. An approach where maintaining, optimizing and extending the life of equipment is not only greener, but also more cost-effective.

The question is not whether your company will adapt to this reality. The question is whether it will do so before or after your competition.

Ready to make the leap to more sustainable and efficient IT? Discover our sustainable technology services and start optimizing your infrastructure today.

And if your system is giving you problems, we can assess its efficiency before replacing it.

👉Our consulting / service portfolio

🆕 IBM Power11 is here

The wait is over: today IBM Power11 is officially presented, the new generation of servers that seeks to consolidate Power as a benchmark in performance, efficiency and openness.

What’s new with the new Power servers?

IBM is committed to a full-stack design, with integration from the processor to the cloud, designed to simplify management, reduce costs and enable AI without the need for GPUs. Power11 offers us:

• IBM Spyre Accelerator for Generative AI and Business Processes

• Up to 25% more cores per chip compared to Power10

• DDR5 memory with improved bandwidth and efficiency

• Concurrent maintenance, quantum-secure cryptography, and automated energy-efficient mode

• Full support for AIX, IBM i, Linux, and hybrid deployments (Power Virtual Server)

See the Power11 models available today:

• 🔹 IBM Power S1122

  Compact 2U server, ideal for space-constrained environments. Up to 60 Power11 cores, 4TB of DDR5 RAM and advanced cyber resiliency and energy efficiency capabilities. Perfect for Linux, AIX or IBM i loads in mixed production environments.

  🔹 IBM Power S1124

  Designed to consolidate critical loads in 4U form factor with up to 60 cores, 8 TB of memory and dual socket. Ideal for medium to large enterprises that want cloud flexibility, without sacrificing performance or security.

  🔹 IBM Power E1150

  Intermediate model with high scalability, designed for demanding loads and SAP deployments, databases or intensive virtualization.

  🔹 IBM Power E1180

  The most powerful of the Power11 family. Up to 256 cores, 64 TB of memory and improved energy efficiency up to 28%. Designed for AI, advanced analytics and massive consolidation in mission-critical environments with 99.9999% availability.

More open and hybrid-ready power

All Power11 models can also be deployed on Power Virtual Server, integrating AIX, IBM i and Linux loads in hybrid environments, without the need to rewrite applications. In addition, KVM and PowerVM support allows you to choose the hypervisor that best fits your environment.

Availability: IBM Power11 will be available globally starting July 25, 2025. The IBM Spyre accelerator will be available in the fourth quarter of 2025.

What about the future?

Power11 ushers in a new era where AI, quantum security and energy efficiency are no longer promises, but native features.

If you like the new Power11 models, we have good news for you, because at SIXE we sell and migrate Power11 (and Power10, 9…). At SIXE we have been helping our customers to make the most of the power of Power for years.

Can you imagine what it would be like to have a powerful infrastructure without paying proprietary licenses? Well… you can🥳 with LinuxONE 5

In an ever-evolving technology environment, choosing a critical infrastructure based on Linux and AI requires not only advanced technology, but also a partner that masters every technical and strategic layer. IBM LinuxONE Emperor 5 , powered by the IBM Telum II processor and its integrated AI accelerators are a milestone in security, performance and scalability. At SIXE , we are experts in designing, implementing and supporting IBM LinuxONE 5 solutions, combining our expertise in IBM technologies with our role as a strategic partner of Canonical, Red Hat and SUSE .

What is IBM LinuxONE 5?

IBM LinuxONE Emperor 5 is a next-generation platform designed for companies that need maximum levels of security, energy efficiency… as well as the ability to manage AI and hybrid cloud workloads. It includes new features such as:

• IBM Telum II processor : With multiple on-chip AI accelerators, ideal for inference on co-located data.
• Confidential Containers : Advanced protection for applications and data in multi-tenant environments.
• Quantum-safe encryption : Preparing for future threats from quantum computing.
• 99% availability : Architecture designed to minimize critical outages.

This system is not just hardware: it is a comprehensive solution that integrates software, security and sustainability, positioning itself as an ally for complex digital transformations. In addition, with the advantage of opensource: not being dependent on licenses.

OpenSource and IBM experts

At SIXE, we are not intermediaries: we are certified engineers in IBM Power and open source technologies . Unlike large partners that outsource complex projects, at SIXE we lead each LinuxONE 5 implementation with an internal team specialized in:

• IBM Power Hardware : Configuration and optimization of IBM LinuxONE Emperor 5 and Power10 (and future Power11) systems.
• Operating Systems : Support for Red Hat Enterprise Linux (RHEL) SUSE Linux Enterprise Server (SLES) and Ubuntu.
• AI and hybrid infrastructure : Integration of containers, Kubernetes and AI tools (such as IBM Watsonx) with LinuxONE 5.
• Security and compliance : We are experts in IBM security audits and licensing.

What do we offer at SIXE to make you stay with us?

Large enterprises often treat LinuxONE 5 implementation projects as one-off transactions. At SIXE, we work closely with your technical teams to ensure that the solution is tailored to your specific needs. We offer you a differential:

• Respond quickly to changes in requirements or architectures.
• Maintain direct communication with systems managers.
• Design migration plans from legacy (IBM i, AIX) to LinuxONE 5. You can see more details here.

Long-term relationships: Are you looking for a supplier or a strategic partner?

We don’t just work to close deals: we build lasting relationships. Once you’ve implemented LinuxONE Emperor 5, we’re still there for you. We offer technical support, training and upgrades , ensuring that your investment continues to generate long-term value.

Return on investment: SIXE is a safe investment.

At SIXE, every euro invested translates into real value . Without unnecessary layers of management or empty meetings, we focus resources on engineers and experts with more than 15 years of experience in IBM, Canonical and open source technologies. We are part of a global network of specialists recognized by leaders such as IBM and Canonical , which reinforces our ability to deliver exceptional results.

Not only LinuxONE 5

Although much of our business is focused on IBM solutions, we are also strategic partners of Canonical (Ubuntu), Red Hat and SUSE , as well as using technologies such as QRadar XDR . This diversity allows us to offer comprehensive solutions for your infrastructure.

Choosing SIXE as a partner for IBM LinuxONE 5 means betting on a human, technical and strategic approach. Don’t leave your critical infrastructure in the hands of intermediaries: trust a team that is as committed as you are to the success of your project.

👉 Find out more about our IBM LinuxONE 5 offering here.

Ready to transform your infrastructure with IBM LinuxONE 5 and SIXE? Contact us and let’s get started together.

📌 Are you interested in automation, AI, etc? You are in the right place. At SIXE we are going to tell you how to set up a ML architecture avoiding the most common mistakes.

Machine Learning (ML) is no longer the future, it is the present. Companies from all sectors are betting on artificial intelligence to improve processes, automate tasks and make smarter decisions.

But here comes a reality check that you may not want to hear.

Most ML project models fail

🔴 80% of ML models never make it to production.
🔴 6% of companies are investing in training their team in AI.
🔴 Many infrastructures are not ready to scale ML projects.

And therein lies the problem. It’s not enough to have powerful AI models if the infrastructure they run on is a shambles. If your architecture is not scalable, secure and efficient, your ML project is doomed to failure.

Here’s how to avoid these mistakes and design a Machine Learning infrastructure that really works.

Stop reinventing the wheel: use what you already have

One of the most common mistakes is to think that you need a completely new infrastructure to implement ML. False.

Many companies already have underutilized resources that they can leverage for Machine Learning:

✅ GPUs with spare capacity (often only used for graphics tasks).
✅ Underutilized servers that can be assigned to ML workloads.
✅ Access to public clouds that could be better optimized.

📌 Exclusive advice from SIXE: Big companies will sell you that you need to buy and buy. A efore spending on more hardware or hiring more, analyze what you can optimize within what you already have. If you don’t know how, we can do it for you.. We perform audits to make your infrastructure greener and make the most of your resources. Spend less, produce more.

GPUs: Are you taking advantage of them?

Here’s a bombshell: More than 50% of GPUs in enterprises are underutilized.

Yes, they bought powerful hardware, but they are not using it efficiently. Why?

❌ They do not have GPU management tools.
❌ GPUs are assigned to projects that don’t even need them.
❌ Capacity is wasted due to lack of planning.

📌 Solutions you can apply TODAY:

✅ Implements a job manager and GPU scheduler.
✅ Use Kubernetes to orchestrate ML models efficiently.
✅ Adopt a workload scheduler.

If you are thinking of buying more GPUs because “there is not enough capacity”, do an audit first. It is quite possible that you can free up resources and delay purchases. In many cases, it is possible to free up resources and delay purchases by optimizing existing infrastructure. Systems such as AIX, Linux, IBM i, RHEL, SUSE may have untapped capacity that can be reallocated with technical adjustments. At SIXE we audit all these systems to identify opportunities for improvement without the need to change hardware, prioritizing efficiency over investment.

If you do not automate you are living in the past.

The lack of standardization in ML is a serious problem. Each team uses different tools, processes are not replicable and everything becomes chaotic.

This is where MLOps comes in.

MLOps is not just a term bandied about lately, it is a necessity for ML models to move from the experimentation phase to production without headaches.

📌 Benefits of MLOps:

✅ Automates repetitive tasks (validation, deployment, security).
✅ Reduces human errors in model configuration and execution.
✅ Improves reproducibility of experiments.

If you don’t have a clear MLOps strategy, your team will end up doing the same work over and over again. We recommend you train your team on MLOps to stop wasting time on repetitive tasks. At SIXE, we understand the challenge of ML and we offer a MLOps course with Ubuntu Linux designed to help you implement efficient and scalable workflows.

Hybrid cloud: The perfect balance between cost and flexibility

The eternal debate between public and private cloud has generated more than one headache in companies. Should you opt for the agility of the public cloud or prioritize the control and security of a private cloud? The good news is that you don’t have to choose. There is an in-between solution that combines the best of both worlds: the hybrid cloud.

❌ Public cloud only: Can be costly and raises security concerns.
❌ Private cloud only: Requires investment in hardware and maintenance.

🔹Use the public cloud for quick experiments and initial testing.
🔹Migrate models to private cloud when you need more control and security.
🔹Make sure your infrastructure is portable to move between clouds, avoiding environment incompatibility.

Thanks to the ability to seamlessly interconnect between environments, the hybrid cloud eliminates vendor lock-in and optimizes operational costs. A hybrid architecture gives you the best of both worlds: agility to innovate and stability to scale.

ML Security: Don’t wait until it’s too late

Many people think about security when it is already too late. An attack on your ML models or a data breach can have disastrous consequences.

Best practices to protect your ML infrastructure:

✅ Perform at least one annual security audit of your infrastructure.
✅ Implement strong authentication and identity management.
✅ Encrypt data before using it in ML models.

Remember: Security is never enough. The more “layers” of security you have, the less likely you are to be in the news for a data breach ;)

Training: Without a trained team, how will you manage your infrastructure?

AI and ML are constantly evolving. If your equipment is not upgraded, it will be left behind.

🔹 Training in MLOps workshops.
🔹 Internal learning. Foster a culture of continuous learning within your organization through mentoring, collaborative documentation and practical sessions.

💡 At SIXE we offer MLOps training to help companies build scalable and efficient architectures. If your team needs to get up to speed, we can adapt to your company’s specific needs.

Don’t waste hours chasing an error

If your ML infrastructure fails and you don’t have monitoring, you ‘re going to spend hours (or days) trying to figure out what happened.

📊 Essential tools for observability in ML:

✅ Real-time dashboards for model and hardware monitoring.
✅ Automatic alerts to detect problems before they become critical.
✅ Detailed logs for process traceability and error resolution.

If you don’t have full visibility over your infrastructure, sooner or later you will have problems.

Conclusion

Building a scalable and efficient architecture for Machine Learning is not just a technical challenge, but a change of mindset. Leverage your current resources, optimize the use of GPUs and adopt MLOps to automate key processes.

Do you want to design an ML architecture that really works? We can help you.

👉 Contact us and we will help you create a scalable, secure and AI-optimized infrastructure.