If you are a business owner, an IT manager, or an R&D lead, you are likely no stranger to the growing pains of scaling your digital infrastructure. For companies pushing the boundaries of AI, machine learning, and high-performance computing, the challenges are even greater: long model training times, escalating power costs, and infrastructure that simply cannot keep up. These are not just technical hurdles; they are major barriers to innovation and your competitive advantage.
The world’s most powerful workloads require a foundational technology designed for this new era of computing. Enter the NVIDIA A100 Tensor Core GPU. The NVIDIA A100 is not just a piece of hardware; it is a meticulously engineered solution built to solve the very problems holding your business back.
This article will explore five key business problems the NVIDIA A100 was specifically designed to overcome.
The Bottleneck of Inadequate Processing for AI Workloads
For modern businesses, data is a goldmine, but without the right processing power, that data remains untapped. Traditional CPUs and even older GPUs can no longer handle the massive parallel processing demands of today’s AI training and data science. This leads to frustratingly slow model training times, delayed insights, and lost opportunities.
The problem? A direct bottleneck that chokes innovation and slows down your entire R&D pipeline.
For a biotech company, for example, slow processing means a longer time to discover new drugs. For a financial services firm, it means delayed risk analysis and slower algorithmic trading. The NVIDIA A100 directly addresses this with its powerful Tensor Cores, which are built to accelerate the most complex and computationally intensive workloads. It delivers up to 20X Tensor FLOPS for deep learning training over previous generations and is 7.8x faster than the V100 for ResNet-50 training.
With both 40GB and 80GB versions available, businesses can get the exact level of power they need to handle massive datasets and run their models at unprecedented speeds. This capability helps businesses like the BEN Group, a leading influencer marketing company, analyse terabytes of video content 4x faster, allowing them to accelerate AI research and develop breakthroughs.
The Challenge of Managing Power & Overheating
Powerful hardware comes with a cost, not just in terms of purchase price, but in energy consumption and heat generation. For IT managers, the logistical and financial headaches of powering and cooling high-density server racks can be a major source of stress. Overheating can lead to system instability, downtime, and expensive repairs.
This is a problem that requires an infrastructure-level solution. At CWCS, our energy-efficient Tier 3-aligned Data Centres are specifically designed to meet this challenge. Our Nottingham facility operates with a low PUE (Power Usage Effectiveness) of 1.15, a tangible metric that demonstrates our commitment to efficiency, and all of our Data Centres are powered by 100% renewable energy. This not only protects your investment but also reduces your operational costs and environmental footprint. We use high power density racks with advanced cooling to ensure your A100 GPUs operate at peak performance without the risk of overheating.
The Need for Dynamic Scalability & Multi-Instance GPU (MIG)
Traditional GPU servers are a fixed resource. You either get a whole GPU or you get nothing. For a business with multiple teams or projects, this can be incredibly inefficient. Some workloads may need only a fraction of a GPU’s power, while others require the full capacity. This often leads to underutilised hardware and increased costs.
The NVIDIA A100 solves this with its innovative Multi-Instance GPU (MIG) technology. The multi-instance GPU feature allows a single A100 GPU to be partitioned into up to seven separate, isolated instances, each with its own high-bandwidth memory, cache, and cuda cores. The A100’s high-bandwidth HBM2e memory, with its over 2 TB/s memory bandwidth, ensures that even the largest datasets are processed efficiently. This enables IT administrators to offer “right-sized GPU acceleration for every job,” maximising the utility of every A100 GPU and mitigating the challenges of increased IT complexity and skill shortages (Source: NVIDIA.cn).
With CWCS, this advanced feature is seamlessly integrated into our fully managed hosting options, which remove the burden of managing resource allocation and complex infrastructure from your team. We handle the heavy lifting so you can focus on your core business goals.
Accelerating Rendering & Simulation Times
In industries like media production, game development, and scientific research, long rendering and simulation times can directly impact project deadlines and time-to-market. Whether you are creating high-resolution video for a commercial or running complex scientific models, a slow system can be a critical choke point.
The NVIDIA A100’s architecture is engineered to provide unparalleled acceleration for these kinds of tasks. Its raw processing power drastically reduces rendering times, allowing creative and R&D teams to iterate faster and deliver projects on schedule. For high performance computing simulations, the NVIDIA A100 delivers up to 2X more HPC performance than the V100, reducing a 10-hour simulation to less than four hours (Source: sva.de).
The A100 PCIe form factor with NVIDIA NVLink provides a powerful interconnect for scaling multi-GPU workloads. This is a game-changer for a game development studio or a media production company that needs to stay ahead of the curve. With our 1Gbps network connectivity and a 100% network uptime guarantee, you can be confident that your projects will be completed without interruption or delay.
The Burden of In-House Infrastructure Management
Setting up and maintaining a high-performance GPU server environment is not just a technical task, it’s a full-time job. From security patching and vulnerability monitoring to hardware troubleshooting and disaster recovery, the burden of in-house management can drain valuable time and resources from your core team.
At CWCS, we offer a tangible solution to this problem with our fully managed hosting plans. We provide 24/7/365 UK-based expert support from certified engineers, so you can always reach a real person who understands your system. We also maintain a high-security culture with ISO 27001, ISO 9001, and Cyber Essentials certifications, ensuring your data is always protected. Our plans include free data migration and a streamlined onboarding process, removing the risk and complexity of moving your data, so you can get up and running smoothly from day one.
The Ultimate GPU Comparison: Choosing the Right Hardware
Choosing the right GPU is a critical decision. To help you make an informed choice, here is a quick comparison of the NVIDIA GPUs offered by CWCS.
| Feature | NVIDIA T4 | NVIDIA A2 | NVIDIA A10 | NVIDIA V100S | NVIDIA A100 (40GB) | NVIDIA A100 (80GB) |
| VRAM | 16GB | 16GB | 24GB | 32GB | 40GB | 80GB |
| Ideal Workloads | AI Inference, VDI | AI Inference, Video | AI Training, VDI, Rendering | AI Training, HPC | AI training, HPC, Data Science | AI training, HPC, Data Science |
| Key Advantage | Versatile, Cost-Effective | Efficiency, Low Power | All-in-one | High-Performance Legacy | Next-Gen, High Performance | Ultimate Performance, Max. Data |
For support in identifying which GPU is best for your company, speak with a member of our team, here.
Conclusion & Next Steps
The NVIDIA A100 was built to solve the most pressing problems in modern computing: slow processing, inefficient power usage, poor scalability, delayed project delivery, and complex management. By choosing a dedicated A100 GPU server powered by the NVIDIA A100, you are not just getting a piece of hardware; you are investing in a comprehensive solution that removes these obstacles and empowers your business to achieve more.
If you are considering a GPU server, use this checklist to guide your search:
- Does the provider offer a range of powerful GPUs, including the NVIDIA A100?
- Is the support truly 24/7/365 and UK-based?
- Do they operate ISO-certified Data Centres with a focus on efficiency?
- Are there flexible management plans that suit your technical needs?
- Is data migration and a seamless onboarding process included?
Ready to power your AI workloads and overcome your biggest infrastructure challenges?
FAQs About GPUs
What is GPU Server Hosting?
GPU server hosting provides access to powerful servers equipped with dedicated graphics processing units (GPUs). These servers are ideal for tasks such as AI model training, 3D rendering, video processing and data simulation. With CWCS, you can choose between fully managed or unmanaged options, depending on your level of control and support needs.
How quickly can my GPU server be provisioned?
Most standard GPU Servers can be provisioned within 48 to 120 hours, depending on availability and custom requirements. We will always confirm estimated delivery times during your consultation.
Can I scale or change GPU models later?
Yes. If your needs change, we can help you upgrade or switch GPU models. Depending on your contract and availability, we can assist with scaling your infrastructure to match your evolving workload.
Can I run AI or ML tools like TensorFlow, PyTorch or Jupyter?
Absolutely. Our GPU Servers are compatible with TensorFlow, PyTorch, Jupyter, Keras and many other machine learning and data science tools. You can run training jobs, inference pipelines or notebooks at scale.
Why choose CWCS over other Providers?
CWCS offers UK-based hosting, GDPR compliance, 24/7 support, and fully managed services to help businesses grow seamlessly.
