Do you need an intelligent AI orchestration platform that is backed by the top GPUs to deploy LLMs? ServerBasket’s LLM hosting server offers powerful NVIDIA/AMD GPU acceleration to deploy large language models, ensuring inference, fine-tuning, RAG, etc., is your go-to solution.
Our LLM GPU hosting incorporates high-VRAM GPUs, NVMe storage, and other latest hardware dedicated to your workloads, coupled with highly performant networking. This makes a very efficient infrastructure for deploying and developing LLMs for production. We engineer GPU platforms optimised to your compute engines on a high-speed, ultra-low-latency network. Call for a trial!
LLM VPS Hosting Plans – Linux & Windows VPS
Run Llama, Mistral, Gemma, Qwen, and DeepSeek LLM models with scalable VPS resources, fast NVMe storage, and high-speed networking
Popular Linux OS Options (Ubuntu, CentOS, Debian, AlmaLinux)
High-Performance LLM Server Hosting Plans
Run the Llama, Mistral, Gemma, Qwen, and DeepSeek large language models using a dedicated CPU, a GPU, high VRAM, NVMe storage, and secure high-performance infrastructure.
Our high-VRAM GPUs allow deployments of large language models, AI training jobs, AI model fine-tuning, and inference at scale. Our high-VRAM GPUs are designed to handle the memory-intensive nature of LLMs and serve more users, offering faster speeds.
Ultra-Fast NVMe SSD Storage
We use NVMe SSDs to minimize latency and optimize IOPS while maximizing model load times. NVMe SSDs are ideal for large models and AI operations because they also allow quick, easy data transfers, improve response times, and are consistently available.
Powerful Multi-Core CPUs and DDR4/DDR5 RAM
Large, fast memory coupled with leading multi-core CPUs from Intel and AMD supports large and efficient data processing, high-concurrency, model serving, AI application pre-processing, and real-time orchestration. As a result, our users can achieve a lower time to first token (TTFT) and cost optimization.
High-Bandwidth Network Connectivity
High-bandwidth networks allow for fast model downloads, efficient dataset loads, and API responses. Such networks also support distributed computational tasks and reliable communication between AI applications and infrastructure.
Linux and Windows Support
We support both Linux and Windows operating systems, providing deployment options for various AI frameworks, development tools, and enterprise software.
Docker & Container Support
We provide Docker and container support that integrates and simplifies LLM deployments by isolating applications, providing dependencies, consistent monitoring, management, and quick movement between development and production.
AI Framework Deployment
LLM Bare-metal server hosting offers a framework for deployment of AI workloads using PyTorch, ONNX, or TensorFlow/Keras. These integrations and orchestration engines automate and provide advanced capabilities to support development, inference, experimentation, and deployment of AI services and applications, etc
Tier IV DC Infrastructure
Our Tier IV data center infrastructure provides highly resilient power, cooling, networking, and redundancy, supporting dependable operation of GPU-intensive Large language model hosting and workloads.
Why opt for ServerBasket’s LLM hosting?
Assurance of 99.995% Uptime
Sign up for ServerBasket’s servers to run your LLM operations with the specialised hardware, redundant resources, and low-latency data transfers that keep you online and accessible all the time.
Dedicated GPU Resources
Get access to specifically engineered exclusive and unshared GPU resources. Our hosting with 100% dedicated resources improves inference significantly and makes training on large datasets noticeably more efficient.
Customized Configurations
We tailor the platform to fit your exact project needs. Choose the suitable hardware, network, security, and scaling rules, and manage them through our easy and user-friendly dashboards to get reliable outputs.
Free Server Setup
Shift the tedious task of setting up the servers to our experts. We do initial deployment, optimization, and installation of the hardware and software layers at no extra cost.
AI-Ready Infrastructure
Set an optimized foundation for your projects based on LLMs with our highly computational and high-throughput stack. Optimize your compute and latency, and leverage high-performance tools to meet the demands of your growing LLM workload needs.
24/7 Technical Help
Receive specialized support 24/7. Our technicians are available around the clock to fix any issues immediately and reduce downtime.
Who Needs LLM Hosting?
AI Startups: for building generative AI products
Leverage pre-trained LLMs offered by our AI-assisted hosting without having to maintain your own GPU infrastructure. Get a clear path from ServerBasket with dedicated GPU instances, guaranteed throughput, expert backup, and sub-millisecond latency to move past the text boxes.
Developers: for deploying LLM-based applications
Good LLM GPU hosting offers premium enterprise support, ensuring reliable SLAs, powerful GPUs, NVMe storage, root-level access, and LLM frameworks. At ServerBasket, there is an uptime commitment of 99.995%, dedicated resources, and an expert team to support you, providing a cost-effective, developer-friendly platform.
Enterprises: for running private AI solutions
Keep your intellectual data entirely under your own administrative control with our highly tailored LLM hosting packages and obtain direct engineering support, advanced GPU setups, and comprehensive audits to ensure compliance always.
Researchers: for experimenting with language models
Power up your model experimentation, inference, fine-tuning, and evaluation work with an advanced, researcher-centric platform built with a powerful GPU-based LLM infrastructure tailored for complex inference without maintaining any on-premises AI.
LLM hosting is a computing platform designed to run in the cloud to serve Large Language Models (LLMs) and AI applications. LLM workloads are different because they need substantial GPU memory, processing power, high-speed storage, and a fast network.
Using LLM hosting, deploy AI models and use them for:
LLM inference,
Model training,
Fine-tuning,
RAG applications,
AI-based chatbots,
AI-powered search
Code generation
Document analysis
Gen AI,
NLP
Private AI applications Select the most suitable GPU, CPU, RAM, storage, and operating system for your AI models.
GPU VRAM: Amount of the model size and its data determine GPU memory.
Model size: Larger parameter counts generally require more VRAM.
Quantization: Quantizing to lower precision can reduce VRAM needs and the consequent costs.
Context length: We understand your average prompt size and decide the resources according to the context length, because a larger context length increases KV-cache memory needs.
Concurrency: More concurrent users increase GPU memory needs.
Training vs inference: Training and fine-tuning can be far more demanding than inference, increasing the resource demand.
Storage: Large models need massive disk space and IOPS; therefore, our NVMe storage caters to these performance needs of models and datasets.
Our LLM inference hosting offers you an efficient platform to run LLM workloads without the need to have a server or manage them. We set up the infrastructure, giving you complete control over your data and predictable costs, and provide an infrastructure stack consisting of a GPU computing layer, inference engines, and an API layer.
ServerBasket can host all the major and popular open-source LLMs like Llama, Mistral, Gemma, Qwen, and DeepSeek as options. This is powered by high-performance dedicated CPUs, GPUs, high VRAM, and NVMe storage from prominent brands.
Yes, ServerBasket provides LLM dedicated server infrastructure with dedicated CPU, GPU, VRAM, and NVMe according to your needs. Users get full root administrative access to configure and set up various custom drivers and operating systems.
You need roughly 0.5 GB per billion parameters, which means 2 GB of VRAM per billion parameters with 16-bit precision, plus an extra 20% headroom. VRAM needs depend on model size, precision, quantization, context length, concurrency, etc.
Yes, open-source models like Llama, Mistral, Gemma, Qwen, and DeepSeek can be hosted on ServerBasket infrastructure, depending on specific requirements. We have powerful frameworks and flexible deployment options.
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