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    vLLM hosting: GPU server comparison

    Are you looking for vLLM hosting on a powerful GPU server? Here you will find GPU server offerings for scalable LLM serving, high-performance inference, OpenAI-compatible APIs and the production deployment of large language models.

    4 from 4 Offers* Last Updated: 11/11/2026

    Back to the GPU Servers comparison

    AP1-10 GPU

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    97% Recommendation

    Server location

    Diamond
    • NVIDIA® T4 GPU GPU
    • 16 GB (v)GPU Memory
    • 128 GB RAM
    GPU Server
    DDoS protection
    1 GPU
    16 GB (v)GPU RAM
    1 TB NVMe SSD
    AMD EPYC™ 7302P
    DDoS Protection
    Firewall
    Hourly Billing

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    £703.08

    Average price per month

    £649.00/Month plus setup £649.00

    Price details
    Monthly price £649.00
    Setup fee £649.00
    Contract term n/a
    Avg. price/month £703.08
    Cost 12 months £8,437.00
    Cost 24 months £16,225.00
    AP2-10 GPU

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    97% Recommendation

    Server location

    Diamond
    • NVIDIA® A10 GPU GPU
    • 24 GB (v)GPU Memory
    • 128 GB RAM
    GPU Server
    DDoS protection
    1 GPU
    24 GB (v)GPU RAM
    960 GB NVMe SSD
    AMD EPYC™ 7313P
    DDoS Protection
    Firewall
    Hourly Billing

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    £893.75

    Average price per month

    £825.00/Month plus setup £825.00

    Price details
    Monthly price £825.00
    Setup fee £825.00
    Contract term n/a
    Avg. price/month £893.75
    Cost 12 months £10,725.00
    Cost 24 months £20,625.00
    IP3-10 GPU

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    97% Recommendation

    Server location

    Diamond
    • INTEL® Flex 170 GPU
    • 16 GB (v)GPU Memory
    • 256 GB RAM
    GPU Server
    DDoS protection
    1 GPU
    16 GB (v)GPU RAM
    2 TB NVMe SSD
    Intel Xeon Gold 5412U
    DDoS Protection
    Firewall
    Hourly Billing

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    £941.42

    Average price per month

    £869.00/Month plus setup £869.00

    Price details
    Monthly price £869.00
    Setup fee £869.00
    Contract term n/a
    Avg. price/month £941.42
    Cost 12 months £11,297.00
    Cost 24 months £21,725.00

    Tip: Choose up to 3 offers and compare them with each other.

    IP4-60 GPU

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    97% Recommendation

    Server location

    Diamond
    • NVIDIA® RTX PRO 6000 Blackwell GPU
    • 96 GB (v)GPU Memory
    • 256 GB RAM
    GPU Server
    DDoS protection
    1 GPU
    96 GB (v)GPU RAM
    3.200 GB NVMe SSD
    Intel Xeon 6517P
    DDoS Protection
    Firewall
    Hourly Billing

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    £2,979.17

    Average price per month

    £2,750.00/Month plus setup £2,750.00

    Price details
    Monthly price £2,750.00
    Setup fee £2,750.00
    Contract term n/a
    Avg. price/month £2,979.17
    Cost 12 months £35,750.00
    Cost 24 months £68,750.00

    * At hosttest, only a selection of providers can be found. Offers marked with an asterisk have additional conditions on the offer detail page. More information about our ranking and sorting details.

    * All prices on this page are net prices and are subject to the applicable VAT.

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    vLLM GPU server for production model serving

    vLLM is designed for the efficient delivery of large language models. A GPU server provides the compute and graphics memory required for low latency, high throughput and multiple concurrent requests.

    What matters for a vLLM server?

    The right hardware depends on model size, quantisation, context length and parallelism. Especially important are sufficient VRAM, high memory bandwidth, fast NVMe storage and reliable network connectivity. For models that do not fit on a single GPU, multi-GPU systems and distributed serving may be required.

    Typical use cases

    • OpenAI-compatible inference APIs
    • RAG applications and internal AI assistants
    • scalable serving for multiple users
    • batch inference and automated processing
    • deployment of various open-source LLMs

    Comparing vLLM with other serving frameworks

    vLLM is particularly well suited for production inference and high utilisation. Alternatives include SGLang GPU server or a general LLM GPU server. Compare GPU, VRAM, billing, scaling and operating system support appropriate to your model.