Enterprise AI/ML
Internal chatbots, knowledge assistants, summarization tools—run entirely behind the firewall.
All‑In‑One LLM Hosting Solution
Unlock the power of enterprise-grade AI with DatabaseMart – your ultimate platform for LLM hosting, On‑Premise LLM, Local LLM, and Private LLM deployments. Whether you're deploying in the cloud, self-hosting, or running locally, our Self‑Hosted LLM services offer unparalleled control, performance, and customization.
Choose Your LLM Server Hosting Plans
Database Mart offers best dedicated GPU servers for LLM. Cost-effective GPU hosting is ideal to deploy your own AI Chatbot.
Basic GPU Dedicated Server - GTX 1660
- 64GB RAM
- Dual 10-Core Xeon E5-2660v2
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia GeForce GTX 1660
- Microarchitecture: Turing
- CUDA Cores: 1408
- GPU Memory: 6GB GDDR6
- FP32 Performance: 5.0 TFLOPS
Flash sale to June 25
Professional GPU VPS - A4000
- 32GB RAM
- 24 CPU Cores
- 320GB SSD
- 300Mbps Unmetered Bandwidth
- Once per 2 Weeks Backup
- OS: Linux / Windows 10/ Windows 11
- Dedicated GPU: Quadro RTX A4000
- CUDA Cores: 6,144
- Tensor Cores: 192
- GPU Memory: 16GB GDDR6
- FP32 Performance: 19.2 TFLOPS
Advanced GPU Dedicated Server - V100
- 128GB RAM
- Dual 12-Core E5-2690v3
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia V100
- Microarchitecture: Volta
- CUDA Cores: 5,120
- Tensor Cores: 640
- GPU Memory: 16GB HBM2
- FP32 Performance: 14 TFLOPS
Multi-GPU Dedicated Server - 3xV100
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 1Gbps
- OS: Windows / Linux
- GPU: 3 x Nvidia V100
- Microarchitecture: Volta
- CUDA Cores: 5,120
- Tensor Cores: 640
- GPU Memory: 16GB HBM2
- FP32 Performance: 14 TFLOPS
Flash sale to June 25
Advanced GPU Dedicated Server - A5000
- 128GB RAM
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro RTX A5000
- Microarchitecture: Ampere
- CUDA Cores: 8192
- Tensor Cores: 256
- GPU Memory: 24GB GDDR6
- FP32 Performance: 27.8 TFLOPS
Enterprise GPU Dedicated Server - RTX A6000
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro RTX A6000
- Microarchitecture: Ampere
- CUDA Cores: 10,752
- Tensor Cores: 336
- GPU Memory: 48GB GDDR6
- FP32 Performance: 38.71 TFLOPS
Enterprise GPU Dedicated Server - RTX 4090
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: GeForce RTX 4090
- Microarchitecture: Ada Lovelace
- CUDA Cores: 16,384
- Tensor Cores: 512
- GPU Memory: 24 GB GDDR6X
- FP32 Performance: 82.6 TFLOPS
New Arrival
Multi-GPU Dedicated Server- 2xRTX 5090
- 256GB RAM
- Dual Gold 6148
- 240GB SSD + 2TB NVMe + 8TB SATA
- 1Gbps
- OS: Windows / Linux
- GPU: 2 x GeForce RTX 5090
- Microarchitecture: Ada Lovelace
- CUDA Cores: 20,480
- Tensor Cores: 680
- GPU Memory: 32 GB GDDR7
- FP32 Performance: 109.7 TFLOPS
Enterprise GPU Dedicated Server - A100
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia A100
- Microarchitecture: Ampere
- CUDA Cores: 6912
- Tensor Cores: 432
- GPU Memory: 40GB HBM2
- FP32 Performance: 19.5 TFLOPS
Multi-GPU Dedicated Server - 2xA100
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 1Gbps
- OS: Windows / Linux
- GPU: Nvidia A100
- Microarchitecture: Ampere
- CUDA Cores: 6912
- Tensor Cores: 432
- GPU Memory: 40GB HBM2
- FP32 Performance: 19.5 TFLOPS
- Free NVLink Included
Flash sale to June 25
Multi-GPU Dedicated Server - 4xA100
- 512GB RAM
- Dual 22-Core E5-2699v4
- 240GB SSD + 4TB NVMe + 16TB SATA
- 1Gbps
- OS: Windows / Linux
- GPU: 4 x Nvidia A100
- Microarchitecture: Ampere
- CUDA Cores: 6912
- Tensor Cores: 432
- GPU Memory: 40GB HBM2
- FP32 Performance: 19.5 TFLOPS
Flash sale to June 25
Enterprise GPU Dedicated Server - A100(80GB)
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia A100
- Microarchitecture: Ampere
- CUDA Cores: 6912
- Tensor Cores: 432
- GPU Memory: 80GB HBM2e
- FP32 Performance: 19.5 TFLOPS
Enterprise GPU Dedicated Server - H100
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia H100
- Microarchitecture: Hopper
- CUDA Cores: 14,592
- Tensor Cores: 456
- GPU Memory: 80GB HBM2e
- FP32 Performance: 183TFLOPS
Choose your Serverless LLM API Plan
Serverless LLM is Databasemart's first pay-as-you-go GPU Cloud product. It is currently in trial operation and more GPU instances will be available soon.
3xV100 48GB VRAM
- Entry-level Plan, Support 14b, 8b, 7b and below models, such as DeepSeek-R1-Distill-Qwen-14B, DeepSeek-R1-Distill-Llama-8B, DeepSeek-R1-Distill-Qwen-7B on Hugging Face.
- OS: Linux
- GPU: Nvidia V100
- Architecture: Volta
- CUDA Cores: 5,120
- GPU Memory: 16GB HBM2
- GPU Count: 3
Popular LLMs and GPU Recommendations
If you're running models on the Ollama platform, selecting the right NVIDIA GPU is crucial for performance and cost-effectiveness.>>Click here for more model recommendations
DeepSeek
| Model Name | Params | Model Size | Recommended GPU cards |
| DeepSeek R1 | 7B | 4.7GB | GTX 1660 6GB or higher |
| DeepSeek R1 | 8B | 4.9GB | GTX 1660 6GB or higher |
| DeepSeek R1 | 14B | 9.0GB | RTX A4000 16GB or higher |
| DeepSeek R1 | 32B | 20GB | RTX 4090, RTX A5000 24GB, A100 40GB |
| DeepSeek R1 | 70B | 43GB | RTX A6000, A40 48GB |
| DeepSeek R1 | 671B | 404GB | Not supported yet |
| Deepseek-coder-v2 | 16B | 8.9GB | RTX A4000 16GB or higher |
| Deepseek-coder-v2 | 236B | 133GB | 2xA100 80GB, 4xA100 40GB |
Qwen
Llama
Gemma
Phi
Use Cases
Empower your team with the freedom, privacy, and performance of Self‑Hosted, On‑Premise, and Private LLM deployments—all backed by powerful GPU infrastructure and expert support.
R&D and Custom Model Tuning
Experiment with, fine-tune, or benchmark open-source LLMs under your control.
Data-Sensitive Applications
Compliance-focused sectors like healthcare, finance, government—no data leaves your environment.
Edge Deployments & On‑Prem AI
For remote, disconnected, or private deployments where cloud inference isn’t viable.
Why Choose Our Customized LLM Hosting?
Choose hardware configurations from single GPU to multi‑GPU server farms. Support models from 1B up to 110B+ parameters
On‑Premise & Local LLM
Run models within your infrastructure or office, ensuring data never leaves your network. Perfect for industries where privacy and compliance are critical.
Private & Self‑Hosted LLM
Fully isolated environments give you secure, private inference and training pipelines—not shared, public APIs.
Customized LLM
Tailor models (e.g. DeepSeek‑R1, Qwen 2.5, LLaMA, Gemma, Mistral) to your specific data, industries, and application flows
All‑In‑One LLM Platform
From GPU infrastructure (A100, V100, A40, RTX4090) to frameworks (Ollama, vLLM), we provide a seamless 1-stop environment.
FAQs of LLM Hosting
The most commonly asked questions about LLM inference hosting service below.
What is LLM hosting?
LLM hosting refers to running and maintaining large language models (like GPT, LLaMA, Mistral, etc.) on dedicated or cloud-based infrastructure. It allows you to serve these models via APIs or integrate them into your applications without depending on third-party platforms like OpenAI or Anthropic.
Who needs LLM hosting?
LLM hosting is ideal for:
• AI startups and developers building custom NLP applications
• Enterprises needing private, on-premise language models
• Researchers experimenting with fine-tuning or inference
• Agencies offering AI-as-a-service (AIaaS) products
• Businesses prioritizing data privacy or lower latency
• AI startups and developers building custom NLP applications
• Enterprises needing private, on-premise language models
• Researchers experimenting with fine-tuning or inference
• Agencies offering AI-as-a-service (AIaaS) products
• Businesses prioritizing data privacy or lower latency
Do I need a GPU to host an LLM?
Yes, for real-time inference or fine-tuning. CPUs are too slow for practical use. High-memory GPUs (A100, H100, 4090, 5090, etc.) are preferred. For offline testing or small workloads, quantized models may run on lower-tier GPUs.
Can I fine-tune models on your servers?
Yes, if your hosting plan includes GPUs with sufficient memory and access rights. Many LLM hosts offer fine-tuning environments using tools like Hugging Face, LoRA, or QLoRA.
Is my data secure and private?
Absolutely. We isolate all customer workloads and offer encryption at rest and in transit. Dedicated GPU instances are available for sensitive use cases.
Do you offer GPU acceleration?
Yes, we provide GPU-powered instances using NVIDIA A100, H100, A6000, or RTX-class GPUs depending on your needs. This ensures high-speed inference and training.
Can I try the service for free?
We offer free trials or credits for first-time users. Contact support to get started with a test deployment.
Can I host multiple models at once?
Yes. You can run multiple models per project, with options to isolate them in separate containers or share resources to save costs.
What's an LLM inference server?
An LLM inference server is a dedicated server or service designed to run large language models (LLMs) in "inference mode"—meaning it's optimized to take user input (like a prompt or question), process it with the model, and return a response, without training or fine-tuning the model further.
What's an LLM server?
An LLM server refers to a server environment specifically designed to host and run a Large Language Model (LLM), such as GPT, DeepSeek, LLaMA, Gemma, etc. These servers provide the necessary hardware and software infrastructure to perform tasks like inference (running the model to generate output), fine-tuning, or even full training of these models.
Launch your LLM today with DatabaseMart
We’re excited to offer a free trial for new clients to test our servers. Once we receive your trial request, we’ll send you the login details within 30 minutes to 2 hours. To request a trial, please follow these steps:
Register an account, no credit card required.
Choose a plan and click "Order Now".
Enter "Request a 3-day free trial for new users" in the notes section and click "Check Out".
Click "Submit Trial Request" and complete your personal information as instructed; no payment is required.