by Peter Chambers, Managing Director, APAC, AMD
Enterprise cloud demands have evolved beyond the early drivers of adoption. Now, more than ever, businesses must be prepared to scale at a moment’s notice. Meeting unexpected user demand while maintaining service levels is an ongoing challenge.
At the same time, cloud workloads are becoming increasingly specialised, requiring optimised remote storage solutions across CPUs, DPUs, and AI accelerators to fully harness cloud-native architectures and frameworks. As a result, their spending has become a critical operational priority.
According to Flexera, nearly half of all workloads and data are now in the public cloud. In fact, 72% of IT decision-makers (ITDMs) are prioritising cloud optimisation as a key organisational initiative to drive cost savings.
These trends highlight the importance of right-sizing cloud solutions. Enterprises must ensure that their infrastructure is optimised for their specific business needs and workload requirements. The right cloud strategy delivers flexibility, security, performance, and cost efficiency, all of which are fundamental to maintaining a competitive edge.
Cloud computing has long been the backbone of modern digital infrastructure, primarily built around general-purpose computing. However, the era of one-size-fits-all solutions is rapidly fading in a business environment increasingly dominated by AI and high-performance computing (HPC) workloads.
Legacy solutions struggle to meet the computational intensity of deep learning models, preventing organisations from fully realising the benefits of their investments. At the same time, cloud-native architectures have become the standard, as businesses face mounting pressure to innovate, reduce time-to-market, and optimise costs.
Without such infrastructure, organisations risk losing key operational advantages — such as maximising performance efficiency and minimising security risks in a multi-cloud environment — ultimately negating the benefits of cloud-native adoption.
Moreover, running AI workloads at scale without an optimised cloud infrastructure leads to unnecessary energy consumption, increasing both operational costs and environmental impact. This inefficiency strains financial resources and undermines corporate sustainability goals, which are now under greater scrutiny from stakeholders who prioritise green initiatives.
Beyond performance gains, security is yet another critical consideration when selecting cloud-optimised hardware that often goes underappreciated. Cloud-optimised hardware often provide a strong suite of advanced security features, such as confidential computing.
These technologies ensure that sensitive data remains encrypted while in use, reducing the risk of physical DIMM (Dual In-line Memory Module) attacks or virtual threats in hyperconverged infrastructure environments.
Why the time is now
As the risks of data breaches continue to escalate – both in terms of financial and reputational terms – organisations must recognise that leaving your remote storage environments unprotected is no longer an option. The rise of sophisticated cyber threats, from rogue hackers to nation-state-sponsored actors, makes enhanced remote storage security a non-negotiable priority.
Furthermore, as industries push forward with the adoption and deployment of AI technologies, IT leaders must ensure that their cloud infrastructure can support compute-intensive workloads while balancing cost, security, and efficiency considerations.
While each organisation’s computing needs are unique, IT teams embarking on hardware modernisation should consider the following:
Your 2025 cloud optimisation playbook
- PERFORMANCE – Are your cloud instances equipped for the level of compute performance your business requires? Your infrastructure must support a range of workloads, from web front-end applications to in-memory analytics and heavy transactional processing.
- COST AND EFFICIENCY – Can you reduce your cloud footprint by running the same workloads on fewer servers? Prioritising instances with high compute density allows businesses to run more VMs or containers per server, achieving significant cost and energy efficiency benefits.
- SECURITY – Does your instance provide the level of data protection you require? Confidential computing helps mitigate security risks by protecting data in use, reducing vulnerabilities in virtualised environments.
- ECOSYSTEM – Opting for processors powered by industry-standard x86 architecture simplifies such remote storage environments, making it easier to develop, maintain, and migrate applications with minimal disruption.
Unseen optimisation, tangible impact
For IT decision-makers, understanding the cost implications of each ‘unit of work’ is crucial when selecting remote storage instances. Traditional infrastructure forces enterprises to choose between overprovisioning resources – leading to unnecessary expenses – or under provisioning, which can cause performance bottlenecks.
Cloud-optimised hardware changes this equation by enabling businesses to achieve more with fewer resources while maintaining high levels of performance, security, and efficiency.
Ultimately, cloud optimisation should not be regarded as a destination, but an ongoing journey. As an example, Oracle and Google both announced new remote storage offerings powered by the latest 5th Gen AMD EPYC™ Processors.
Oracle has reported that their latest E6 standard bare metal instances deliver up to 33% more compute and memory and 2X the network bandwidth compared to E5 Standard, delivering up to 2X the performance on industry standard benchmarks. At the same time, Google’s testing revealed that its new C4D virtual machines deliver up to 80% higher throughput/vCPU compared to previous generations by leveraging the advancements of the AMD “Zen 5” architecture.
As remote storage technologies continue to evolve, enterprises that prioritise modernisation will reap the benefits of seamless scalability, improved sustainability, and a resilient digital foundation for future innovation. In a world where agility is critical, cloud optimisation is no longer a luxury — it is a business imperative for staying competitive in 2025 and beyond.
