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Quantum computing is gaining significant attention as one of the biggest trends in tech. Many proponents are promising its potential to revolutionise processes across industries. So, what exactly is quantum computing, and will it really be the future of tech? 
Quantum computing allows for rapid processing, and complex problem solving that classical computers are not capable of, bringing developments to fields including cryptography, simulation, and optimisation. In this insight, we will explain the basics of quantum computing, use cases, and its current and future place in the wider tech landscape.
<h2>What is quantum computing and how does it work?</h2>
At a basic level, the difference between classical and quantum computing is the use of bits vs qubits. Classical computers use bits as their basic unit of information &#8211; binary units which can only represent a single value, 0 or 1. Quantum computing uses qubits as its fundamental units, which can represent 0, 1, or a combination of both simultaneously. 
Due to this difference, classical computers process information sequentially, while quantum computers can process many calculations simultaneously.
The nature of quantum calculations is probabilistic, meaning there are multiple possible outcomes to the same input, as opposed to the deterministic nature of calculations in classical computing, where repeating the same input will always result in the same output. 
There are several key concepts to understand in quantum computing.
<h3>Superposition</h3>
Superposition refers to the ability to exist in multiple states at the same time until measured. This can be illustrated with the analogy of a coin flip &#8211; while in the air, it is representing all possible outcomes, both heads and tails, at once, and is in a state of superposition. When it lands, the outcome is determined. 
In the same way, a qubit in quantum computing represents all possible values until it is measured, at which point it collapses to a single value. This principle is called superposition, and allows quantum computers to explore multiple solutions to a problem at once. 
<h3>Entanglement</h3>
Entanglement is a fundamental concept in quantum mechanics, and occurs when two or more particles are related in a way that makes it impossible to describe each particle independently. This is the case even if the particles are separated by distance. 
Entanglement allows quantum computers to manipulate many qubits at once and perform calculations that are not possible with classical computers. Entanglement also theoretically allows for quantum error correction. Although the methods have not yet been perfected for real-world systems, quantum computers in future should have the ability to detect and correct errors by creating and manipulating entangled states. 
<h3>Quantum interference</h3>
Quantum interference is the process of particles interacting with and influencing other particles while in a state of superposition. In a quantum system, the particles exist as a probability wave of possible positions, which can interact in an interference pattern. By determining whether the waves reinforce each other (constructive interference) or cancel each other out (destructive interference), quantum interference can help guide systems towards the most likely correct solution.
<h2>Quantum computing and the cloud</h2>
Quantum computers themselves are far from accessible to businesses and researchers. The technology is still experimental, and quantum hardware is prohibitively expensive. However, with the integration of quantum computing and cloud computing, the potential accessibility of quantum technology is improving. 
There are several ways quantum and cloud technologies can be integrated. Quantum workloads can be run as simulations on classical computers hosted on the cloud, which, while not giving the same capabilities as using actual quantum hardware, can be a useful tool for developing algorithms, or debugging code for example. If quantum simulation is not sufficient for the workload, processes can be executed on quantum processors hosted remotely.
A hybrid approach can also be taken, where quantum processors are used for complex, resource-intensive computations, and classical processors are used for the areas not yet able to be handled through quantum technology. The multiple elements of the hybrid infrastructure can be managed through a cloud-based interface for a seamless transition between classical and quantum computing. 
It is important to note however, that at this stage, that all of these technologies and implementations are also still in their infancy.
<h2>Applications of quantum computing</h2>
While quantum computing could bring advances across industries, there are several  particularly promising use-cases.
<h3>Cryptography and security</h3>
Traditional cryptography methods are based on mathematics, whereas quantum cryptography is built on the principles of quantum physics, opening up new, more secure, possibilities for security. An example is quantum key distribution (QKD), which transmits a unique key to ensure secure communication. As it is impossible to copy data encoded in a quantum state, quantum cryptography, including QKD, promises to offer near-unhackable security once practical deployment is possible.
<h3>Healthcare and medical research</h3>
Quantum computing is particularly effective at simulation, due to its ability to process vast numbers of calculations at once. The ability to speed up drug discovery and research by simulating molecules and chemical reactions could have a profound impact on the healthcare industry’s ability to cure illnesses and diseases. A <a href="https://www.sciencedirect.com/science/article/pii/S0959440X24000976#abs0010">recent article</a> in the journal ‘Current Opinion in Structural Biology’ demonstrated this, concluding that ‘We will witness an exciting evolution of quantum chemistry in drug discovery’.
<h3>Logistics and optimisation</h3>
With the increased calculation speed and capacity of quantum computing, it is ideal for solving complex optimisation problems. For logistics and supply chain management, this could mean quantum computing being used to find optimal delivery routes for example. Research on using quantum technology for optimisation is already underway &#8211; <a href="https://www.volkswagen-group.com/en/press-releases/research-project-successful-volkswagen-it-experts-use-quantum-computing-for-traffic-flow-optimization-16498">Volkswagen for example</a> successfully conducted research into traffic-flow optimisation using an algorithm on a quantum computer, stating ‘The results give us confidence for further applications on the quantum computer’. 
<h2>The present and future states of quantum computing</h2>
Quantum technology has significant potential to advance computing, but it is still in the early stages. Current large-scale quantum computing projects are mostly experimental, with commercially viable systems that outperform classical computers still in development. 
Some of the challenges facing a widespread adoption of quantum computing include achieving qubit stability/coherence, error rates, and the costs of the hardware. Although these challenges are substantial, many organisations are working on the solutions, and there have been significant developments in technology and funding. 
A <a href="https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/steady-progress-in-approaching-the-quantum-advantage">report from McKinsey</a> noted an increase of more than 50% in public funding for quantum technologies in 2023 compared to 2022. Based on their research, they are predicting the market size for quantum computing could reach up to USD 72 billion by 2035. 
It is realistic to predict that as these technological developments continue, while it is currently still in its infancy, we will start to see more elements of quantum computing used in conjunction with traditional computing and existing infrastructure. This hybrid approach of quantum and classical workloads, managed in the cloud, can bring wider accessibility and practicality to quantum technology.

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Quantum computing is gaining significant attention as one of the biggest trends in tech. So, what exactly is quantum computing, and will it really be the future of tech?

Quantum Computing - The Future of Tech?

Is Quantum Computing the Future of Tech? | Hyve Managed Hosting

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Alternatively, a managed service provider (MSP) can take over the heavy lifting of optimising your infrastructure, freeing up your time and budget. 
<h2>What is optimisation?</h2>
Optimisation covers many techniques that can be used to streamline your IT infrastructure. This can include reducing the physical and virtual resources used for your workloads, identifying and removing waste, and streamlining processes. The aim of optimisation is to improve the performance and cost efficiency of your IT infrastructure. 
<h2>What are the benefits of optimising your IT infrastructure?</h2>
<h3>Cost savings</h3>
Many cloud environments are over-provisioned &#8211; they are allocated more resources than needed. This could include idle instances, unattached storage, or redundant architecture. As these unneeded resources are still paid for even if they aren’t used, optimising your infrastructure and ‘right-sizing’ your resources to fit your workloads will lead to cost savings. 
<h3>Improved performance</h3>
It is a common misconception that optimising your infrastructure means reducing resources at the cost of performance. In reality, properly managed optimisation will actually improve performance. You can tailor your resources to the needs of specific workloads, meaning you can improve performance, avoid bottlenecks, and enhance speed and reliability. 
<h3>Improved environmental impact</h3>
Resource optimisation is an effective method of controlling power consumption &#8211; the less resources you can use, the lower your consumption. Unused resources still consume power, so by removing this element of waste, you can lower the carbon footprint of your infrastructure. 
<h3>Streamline your infrastructure</h3>
Many organisations suffer from ‘cloud sprawl’ &#8211; the uncontrolled growth and spread of cloud resources, services and instances. While the ability to scale up your infrastructure is a significant benefit of cloud, without the correct planning and management this can quickly get out of hand. The risks of cloud sprawl include security vulnerabilities, performance issues, spiralling costs, and operational complexities. Optimisation allows you to assess and streamline your infrastructure as a whole, preventing the issue of cloud sprawl. 
<h2>What are the benefits of partnering with an MSP for optimisation?</h2>
While the benefits of optimisation are clear, the complexity of the process, and time and expertise it requires mean that it is often neglected. Partnering with an MSP brings you the benefits of optimisation, without placing the burden on your in-house teams. There are a number of ways partnering with an MSP adds value over managing optimisation in house.
<h3>Expertise and experience</h3>
Our research found that 84% of UK businesses are facing the issue of the IT and tech skills shortage, reporting high competition for talent and a lack of trained professionals (<a href="https://www.hyve.com/insights/downloads/it-and-tech-skills-gap-report/">IT and Tech Skills Gap Report 2024</a>). In this environment, your businesses may struggle to find staff with the expertise required for effective optimisation, hindering your efforts. By outsourcing your infrastructure management to an MSP, you can take advantage of their experience and specialised knowledge, without needing to hire in-house.
<h3>Free up your staff resources</h3>
Utilising an MSP for optimisation means this ongoing management task is taken away from you and your in-house teams, freeing up your time. This can increase your organisation’s productivity, as you can use this additional staff resource to invest in growth and innovation, and increase your profitability.
<h3>Proactive and continuous optimisation</h3>
Often when a business undertakes optimisation efforts, this will be a one-off process, either managed in-house or using a consultant. However, while this can be a helpful initial step, the technological landscape and your business needs change quickly. An MSP can proactively monitor your infrastructure, recommending improvements to reduce your costs and improve performance on an ongoing basis. 
<h2>How can an MSP optimise your IT infrastructure?</h2>
There are several techniques an MSP can employ to optimise your infrastructure.
<h3>Right-sizing resources</h3>
By analysing your workload patterns and resource utilisation, and planning for any predicted traffic spikes, your provider can establish the actual resource needs of your infrastructure. They can then allocate resources based on your exact needs, and remove any unneeded resources.
<h3>Server consolidation</h3>
Server consolidation is a method of reducing the number of servers needed to run your workloads, without compromising performance. The process can include combining workloads to a smaller number of servers, replacing servers with higher capacity devices, or replacing some physical servers with virtual machines. 
<h3>Refactoring applications</h3>
Refactoring is the process of restructuring the code of an application to improve its operation. When initially migrating a workload from on-premise to the cloud, or when optimising workloads already running on the cloud, refactoring can be used to optimise the workload to run more efficiently.
<h3>Monitoring and auditing</h3>
By monitoring and auditing your infrastructure, an MSP can identify underused resources, performance bottlenecks and wastage. Using the information these processes provide, cloud architects and engineers can then streamline your environment.
<h2>Why choose Hyve for your IT infrastructure optimisation?</h2>
Not all MSPs will offer the same level of service, so to fully optimise your infrastructure it is vital to choose the right provider. 
As we offer tailored, rather than off-the-shelf solutions, we can fully customise your infrastructure to make the best use of your resources. When you initially migrate with Hyve, we undertake a full consultation, reviewing your current infrastructure, and designing an optimised platform to meet your specific needs. 
We don’t stop at offering an initially optimised platform &#8211; we offer fully managed services, with our expert engineers proactively monitoring your infrastructure for inefficiencies, and implementing optimisations whenever needed. When you choose Hyve, you will be allocated a dedicated account manager, who will regularly check in with you to ensure you are getting the most from your platform. 
<h2>What next?</h2>
We provide a truly consultative approach, taking the time to understand your specific optimisation needs, before planning and implementing a seamless migration. Find out more – <a href="https://www.hyve.com/contact-us/">fill out our contact form</a> and we will be in touch.

Optimisation is crucial to cloud infrastructure, but can be complex. An MSP can take over the heavy lifting of optimising your infrastructure, freeing up your time and budget.

How a Managed Service Provider Optimises your Infrastructure for Maximum Efficiency and Performance

How an MSP Optimises your Infrastructure for Maximum Efficiency and Performance | Hyve Managed Hosting

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AI is predicted to be integrated into almost all aspects of our lives over the coming years, from our homes to the workplace, and entertainment to healthcare. While it has its controversies, it is clear AI is here to stay, with far-reaching potential across industries. But in order for AI technology to meet this potential, the correct foundations must be in place. 
When we talk about hosting for AI, it is often described as a singular service or product, but in reality it is a broader category. AI workloads can range from training LLMs, to image recognition, to data processing &#8211; each with specific infrastructure requirements. Just as there is huge diversity in the application of AI, there needs to be diversity in the hosting of AI workloads &#8211; a one-size-fits-all solution does not meet the majority of use cases. In this insight, we will discuss how bespoke infrastructure allows you to run your AI workloads in the most effective way, and outline the benefits of this optimisation of your platform.
<h2>The unique demands of hosting for AI workloads</h2>
McKinsey reported that 65% of respondents stated that their organisations are regularly using gen AI, and that organisations are already seeing material benefits from incorporating AI (<a href="https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai">McKinsey Global Survey</a>). The use cases for AI in businesses are widely varied &#8211; in some instances, AI models may be a business’s primary output, while in others, AI may only be used internally to streamline processes. The infrastructure requirements for these varied use cases differ. There are several elements to consider when it comes to hosting for your AI workloads.
AI computing is resource-intensive, and requires powerful servers to provide the significant power and performance needed. Additionally, these servers will need to be hosted in data centres that are equipped to meet the increased power and cooling requirements. 
To meet these needs, a <a href="https://www.hyve.com/high-performance-computing/">high-performance computing (HPC) solution</a>, which provides powerful performance for high-compute workloads, is often used. Industry analysts have also observed an increase in <a href="https://www.hyve.com/cloud-hosting/managed-vmware-private-cloud-hosting/">private cloud</a> infrastructure, and a shift away from public cloud, due to the increase in AI use (<a href="https://www.cio.com/article/2104613/private-cloud-makes-its-comeback-thanks-to-ai.html">CIO</a>). This diversification in infrastructure requirements has also led many businesses to adopt a hybrid model, combining HPC, private cloud, public cloud, and on-premise environments, assigning workloads to the environment best suited to handling them. 
The majority of AI models use GPU servers. Graphic processing units (GPUs) are specifically designed to handle intensive graphics rendering tasks, and analyse large amounts of data faster than computers reliant on central processing units (CPUs). However, CPU-based servers, when configured correctly, can also be effectively utilised for AI development, testing and training.
<h2>The issue with off-the-shelf hosting for AI</h2>
We have previously explored how off-the-shelf cloud hosting  can present challenges for businesses due to their generic nature, as opposed to <a href="https://www.hyve.com/insights/how-our-consultative-approach-delivers-bespoke-solutions/">a consultative approach that delivers bespoke solutions</a> that work more effectively. This is exacerbated when it comes to hosting for AI. 
Off-the-shelf solutions generally offer either a fixed amount of resources, or ‘levels’ of resources, with specific configurations, such as GPU-only models. This can lead to significant inefficiencies. 
Without the option for customisation, you may end up with either significantly more resources than you need, costing you unnecessary budget, or insufficient resources, causing performance issues for your project. 
For more complex projects where you may need a mixed or hybrid infrastructure, this may either not be possible, or come at a significantly higher cost than you initially expected.
You may also run into issues when it comes to scaling your platform. As the technology continues to be developed, and integration into workplaces increases, it is likely that your AI hosting needs will grow. With standard solutions that have a low level of flexibility, scaling your resources can be slow, and come with potentially hidden costs.
<h2>The benefits of bespoke solutions for AI workloads</h2>
There are a significant number of benefits to using a bespoke solution for your AI workloads. 
Bespoke infrastructure can be entirely customised, meaning you can choose the environments and components that best suit your workloads. Rather than fitting your workloads to a pre-configured environment, you fit the environment to your workloads. This optimisation means you can maximise the performance and benefits of your AI workloads, while saving money and reducing your power consumption by removing spending on unnecessary resources.
This customisation also allows you to allocate resources exactly where they are needed. Every component, whether GPU, CPU, or storage, matches the requirements of your workloads, meaning no over-provisioning and waste. 
Unlike off-the-shelf solutions, bespoke AI solutions can be designed to seamlessly integrate with your existing IT infrastructure. Particularly when you use a hybrid cloud model, this reduces the complexity of your systems, providing a smoother user experience. 
<h2>Case study: Designing a bespoke CPU server for Symbolic Mind</h2>
Symbolic Mind, a global company developing generative AI and artificial general intelligence architecture, required a hosting provider for training their EVA model. Their requirements were unique &#8211; unlike many AI models which only run on GPUs, EVA can use either CPU, GPU or both. For this development and testing project, they needed a CPU powered server. 
Other providers Symbolic Mind approached offered off-the-shelf GPU-based solutions which did not meet their requirements. Where different providers did offer a bespoke solution, the costs were prohibitive. 
They found our proposal for a bespoke 56-core CPU server was the only solution that met their needs and budget, providing the power, memory and scalability required. Following the custom build, Symbolic Mind trained their EVA LLM on the server, achieving record-breaking 3Gb per hour speeds. Hear from Symbolic Mind on how our bespoke solution met their needs in the <a href="https://www.hyve.com/case-studies/symbolic-mind/">full case study</a>. 
<h2>Why choose bespoke hosting for AI with Hyve?</h2>
The example of Symbolic Mind demonstrates the need for affordable, bespoke hosting for AI workloads. The development of AI technology is an evolving field, with new innovations requiring dynamic, flexible infrastructure. The set configurations offered by other providers cannot be flexible to meet unique and developing needs. 
We offer a truly consultative approach, taking the time to understand your needs before designing your tailor-made platform. Our fully bespoke HPC and Private Cloud solutions are ideally suited to hosting AI workloads, with the capacity for fully customised architecture incorporating GPUs and CPUs as needed. With our management services, our experts design and continuously manage your infrastructure for maximum efficiency and performance. 
Speak to one of our cloud experts today &#8211; <a href="https://www.hyve.com/contact-us/">fill out our contact form</a> and we will be in touch.

AI is predicted to be integrated into almost all aspects of our lives over the coming years, from our homes to the workplace, and entertainment to healthcare.

AI is predicted to be integrated into almost all aspects of our lives over the coming years, from our homes to the workplace, and entertainment to healthcare. While it has its controversies, it is clear AI is here to stay, with far-reaching potential across industries.

Optimising AI Workloads: How Bespoke Hosting Solutions Maximise Performance

Optimising AI Workloads: How Bespoke Hosting Solutions Maximise Performance | Hyve Managed Hosting

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