Enterprise AI & GPUCloud Hosting.
Deploy open-source LLMs, inference APIs, PyTorch workloads, and intelligent applications on dedicated compute with NVMe Gen4 speeds and zero throttling.
NVIDIA runtime pre-installed
Up to 7,000 MB/s read speed
Single-command model deployment
Root access & DDoS mitigation
Compute & Inference Plans
Predictable pricing.No per-token billing surprises.
Run unlimited inference queries 24/7 on your dedicated hardware with flat monthly pricing.
AI Starter
Inference NodeHigh-frequency CPU compute tailored for lightweight model serving and inference APIs.
Flat pricing · Unmetered inference tokens
- Optimized for Ollama & Llama 3 8B (Q4)
- Dedicated High-Frequency vCPUs
- Full Root SSH & Docker Access
- Pre-configured Python 3.11 & FastAPI
- Dedicated Static IPv4 Address
- Cloudflare DDoS Mitigation
- Automatic Daily Snapshot Backups
AI Pro
GPU AcceleratedDedicated Tensor GPU power for real-time LLM inference, Whisper transcription, and embeddings.
Flat pricing · Unmetered inference tokens
- 16GB Dedicated High-Bandwidth VRAM
- Pre-installed CUDA 12+ & PyTorch
- vLLM & Hugging Face Engine Ready
- Sub-20ms Token Time-to-First-Token
- Full Root & Container Control
- Dedicated Static IPv4 & IPv6
- Priority 24/7 Technical Support
AI Cluster
Multi-GPU WorkstationDual Tensor GPUs and massive memory bandwidth for model fine-tuning and high-volume workloads.
Flat pricing · Unmetered inference tokens
- 32GB Combined Tensor Core VRAM
- Distributed Inference & LoRA Fine-Tuning
- 10Gbps Low-Latency Private Network
- Triton / vLLM Distributed Serving
- Automated Health & Thermal Monitoring
- 99.99% Hardware Uptime SLA
- Dedicated Infrastructure Engineer Support
Pre-Configured Environments
Ready for your favoriteAI and machine learning tools.
Skip days of CUDA driver errors, kernel conflicts, and library mismatches. Deploy with one command.
vLLM
LLM Serving EnginePagedAttention memory management for ultra-high throughput LLM token generation.
Ollama
Local Model RunnerSingle-command deployment for Llama 3, Mistral, DeepSeek, and Gemma models.
PyTorch & CUDA
Core AI FrameworkPre-installed NVIDIA CUDA drivers, cuDNN, and optimized PyTorch binaries.
FastAPI & Python
API MicroservicesProduction async ASGI server ready to expose secure model endpoints.
Docker & Compose
ContainerizationNVIDIA Container Toolkit pre-configured for GPU pass-through inside Docker.
Hugging Face
Transformers & HubPre-authenticated CLI and caching for instant model checkpoint pulling.
Architectural Advantages
Engineered specifically forsustained neural compute.
Standard virtual private servers are optimized for web requests with idle periods. AI workloads demand consistent memory bandwidth, sustained GPU clock speeds, and zero memory paging.
Zero-Latency Model Weight Loading
NVMe Gen4 drives allow loading 16GB Llama 3 models into RAM in under 3 seconds.
Guaranteed Resource Isolation
Dedicated memory and CPU pinning ensure other tenants on the node cannot throttle your tokens per second.
Cloudflare Protected API Endpoints
Shield your model endpoints from malicious scraping and DDoS attacks with automated edge SSL.
# 1. Connect to your AI Node
ssh root@your-instance-ip
# 2. Check NVIDIA GPU & CUDA Status
nvidia-smi
# 3. Pull and run Llama 3 or DeepSeek with Ollama
ollama run llama3:8b
# 4. Expose high-speed inference API endpoint
curl http://localhost:11434/api/generate -d '{
"model": "llama3:8b",
"prompt": "Hello from SidiHost AI Cloud"
}'Frequently Asked Questions
Everything you need to knowabout our AI Hosting.
Can I run open-source models like Llama 3, Mistral, and DeepSeek?
Yes. Our AI instances come with pre-configured Ollama, vLLM, and Docker environments. You can run quantized or full-precision weights with zero configuration lock-in.
Do I get full root access and GPU control?
Yes. Every instance includes full root SSH access. You can install custom Linux kernels, proprietary CUDA drivers, Python packages, and custom container images.
How fast is model loading from disk?
All AI nodes utilize Enterprise NVMe Gen4 solid-state drives delivering up to 7,000 MB/s sequential read throughput, meaning multi-gigabyte safetensors load into memory in seconds.
What payment currencies and frequencies do you support?
You can pay in Nigerian Naira (NGN) via card or bank transfer powered by KoraPay, or switch to USD/EUR/GBP. We support monthly, quarterly, and annual billing with multi-month discounts.
How does AI Hosting differ from standard VPS hosting?
AI Hosting instances are provisioned on dedicated high-performance clusters with high memory-to-vCPU ratios, optional dedicated Tensor Core GPUs, unmetered internal network throughput, and pre-baked machine learning environments.