LLM APIs
Deploy Llama, Mistral and DeepSeek models as private APIs on dedicated GPU servers with low latency, stable performance and predictable monthly costs
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Why CWCS
Run AI models, LLMs and APIs on private GPU server hosting built for production. Our dedicated GPU servers deliver secure AI server hosting with fixed monthly pricing and full UK data control.
Running AI models on shared cloud GPU infrastructure often leads to inconsistent performance, rising costs and limited control. As workloads move into production, these issues impact reliability and user experience.
Shared GPU environments are designed for flexibility, not consistency. Performance varies depending on other users, costs increase with usage and support is often limited to reactive ticket systems.
For businesses relying on AI server hosting, this creates unnecessary risk. You need GPU server hosting built for production, with dedicated GPU servers that deliver consistent performance, predictable costs and full control.
From AI model hosting to LLM hosting and inference APIs, our GPU server hosting is built for businesses running production AI workloads at scale.
Deploy Llama, Mistral and DeepSeek models as private APIs on dedicated GPU servers with low latency, stable performance and predictable monthly costs
Power customer facing chatbots and internal assistants that require consistent performance, fast responses and reliable uptime across all usage scenarios.
Run classification, summarisation, extraction and RAG pipelines on documents without sending sensitive data to external third party APIs.
Run Whisper and similar models at scale for transcription, meeting notes, call analysis and voice driven applications across your business.
Serve image generation, classification, object detection and computer vision models with dedicated GPU resources and consistent processing performance.
Host AI workloads that cannot be deployed on US cloud platforms due to data sensitivity, compliance requirements or internal governance policies.
Choose a GPU dedicated server built for AI workloads. Our GPU server hosting is designed for production use, with fully managed infrastructure and fixed monthly pricing.
Ideal for LLM hosting, chatbots and APIs on a dedicated GPU server with efficient performance, low power usage and predictable monthly costs
Designed for production AI workloads on a dedicated GPU server, supporting higher throughput, larger models and consistent performance across multiple users
Built for large language models and complex AI workloads on a GPU dedicated server, delivering high memory capacity and powerful processing performance
A cost effective dedicated GPU server for lighter AI workloads, smaller models and teams needing reliable performance with controlled monthly infrastructure spend
Our GPU server hosting is billed monthly in GBP with no hourly charges, no egress fees and no dollar exchange rate surprises. Our entry-level L4 inference server starts from £650 per month. For all other configurations, speak to our team and we will be in touch within 24 hours to discuss your requirements.
Our UK based engineers manage your GPU infrastructure from day one, helping you deploy, monitor and maintain AI workloads without internal overhead.
Your AI workloads stay in the UK on Dedicated Dervers, hosted in ISO certified Data Centres with confirmed UK data residency.
UK based engineers monitor your server 24/7 and respond quickly, giving you direct access to people who understand your setup.
No hourly billing, no egress fees and no currency surprises, just a clear monthly cost in GBP for your infrastructure.
We help you deploy your AI models and get them running correctly from day one, without needing internal infrastructure expertise.
AWS, Azure and Google Cloud are powerful platforms, but they introduce trade offs that impact performance, cost and control. For teams using GPU server hosting, these limitations become clear as workloads move into production.
GPU resources are shared across multiple users, which can lead to contention, inconsistent performance and unpredictable behaviour under varying workload demand.
Hourly billing and data transfer fees create variable costs, making it difficult to predict spending for ongoing AI workloads and infrastructure usage.
Support is typically ticket based and reactive, leaving your team responsible for managing infrastructure, troubleshooting issues and maintaining performance reliability.
Data and workloads may be stored across regions, reducing visibility and control, and introducing challenges around compliance and data sovereignty requirements.
GPU resources are fully allocated to your workloads, ensuring consistent performance, predictable behaviour and reliable inference for production AI applications.
Your AI models and data remain private on dedicated GPU servers, avoiding shared environments and supporting secure, compliant AI deployments.
All GPU servers are hosted in UK data centres, keeping your data under UK jurisdiction and supporting compliance with internal policies and regulations.
Our UK Data Centres are designed for energy efficiency, supporting sustainable AI workloads without compromising performance or reliability.
If your business operates in finance, healthcare, legal or the public sector, data sovereignty may be a compliance requirement. Our UK GPU servers keep your AI workloads within the UK, and we confirm data residency in writing to support audits and procurement processes.
Green hosting by CWCS
All CWCS services are delivered from renewable powered UK data centres with a PUE of 1.15, reducing energy waste while maintaining the performance, reliability, and security your business depends on.
Find out more about our Green HostingFind answers to common questions about GPU server Hosting, pricing, management and how Dedicated infrastructure compares to Cloud platforms for AI workloads.
GPU server hosting uses dedicated graphics processing units to run AI models, machine learning workloads and high performance applications more efficiently than standard servers.
A dedicated GPU server gives you full access to GPU hardware without sharing resources, ensuring consistent performance for AI inference, training and compute workloads.
Managed dedicated hosting means your server is maintained by experts, including monitoring, updates and support, so you do not need to manage infrastructure yourself.
Cloud hosting uses shared infrastructure with variable performance and pricing, while dedicated servers provide fixed resources, predictable costs and consistent performance.
UK dedicated server hosting keeps your data local, improves compliance, reduces latency and gives you full control over infrastructure and performance.
Managed server hosting includes setup, monitoring and ongoing support, allowing businesses to run workloads without needing in house infrastructure expertise.
A data centre is a secure facility where servers are hosted, providing power, cooling, connectivity and security to keep infrastructure running reliably.
GPU hosting on dedicated servers offers more consistent performance, predictable costs and better control compared to shared cloud environments for AI workloads
Cloud hosting UK provides flexible infrastructure, but often includes shared resources, variable pricing and less control compared to dedicated hosting.
Managed hosting is recommended for GPU servers, as it ensures monitoring, optimisation and support are handled by experts, reducing risk and internal workload.
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