RTX 5090 GPU Servers

GPU servers are equipped with enterprise-grade graphics cards such as RTX 4090, H100, and H200, delivering significant parallel processing power. With thousands of CUDA cores, GPUs can process massive datasets simultaneously, making deep learning training 10–300x faster than CPUs and dramatically reducing AI project timelines. We also provide free LLM deployment to help you launch your AI workloads instantly.

RTX 4090 is ideal for prototyping and training small to medium models, with 24GB GDDR6X VRAM. H100 targets enterprise-grade workloads with 80GB HBM3 memory. H200 is designed for cutting-edge research, offering 141GB HBM3e memory. Select based on model size, dataset scale, and budget: choose RTX 4090 for entry-level, H100 for business-critical applications, and H200 for large-scale or next-gen research.

All servers come preinstalled with Ubuntu 22.04 LTS, the latest NVIDIA drivers, and CUDA Toolkit 12.x. We fully support PyTorch, TensorFlow, JAX, and other major frameworks, plus Docker for containerized workloads. You also get prebuilt AI environment images, one-click deployment scripts, and free LLM setup to jumpstart your development.

Standard configurations are delivered within 4–24 hours. In-demand models may take 3–4 weeks. Our team offers 24/7 technical support (English & Chinese), staffed by GPU/AI experts with average response time under 10 minutes. We help with CUDA environments, performance tuning, and free LLM deployment. SLA guaranteed: 99.9% uptime.

We support monthly and annual billing, with discounts for yearly plans. New users can apply for a trial quota, and LLM deployment is always free. For best ROI: select the right hardware (avoid overprovisioning), use hybrid deployment (H100/H200 for training, RTX 4090 for inference), and batch jobs for higher GPU utilization. Compared to building your own cluster, you save 60–80% up-front and ongoing costs.

Yes—our servers support 2–8 GPUs per node and full distributed training. We support data parallelism (PyTorch DDP, TensorFlow MirroredStrategy), model parallelism (DeepSpeed, FairScale), and 3D parallelism. NVLink high-speed interconnect is included for fast GPU-to-GPU communication. We also support multi-node distributed training, including Kubernetes cluster management, and can advise on parallel strategies for your use case.

All servers feature dedicated 10Gbps ports (upgradable). We provide basic DDoS protection by default, with options for advanced protection. Enterprise security: hardware firewalls, IP whitelisting, geo-blocking, SOC 2 and ISO 27001 certified data centers, RAID redundancy, and automated backups for data safety and business continuity.

We accept PayPal, credit cards, Alipay, and WeChat Pay. Flexible plans: monthly, quarterly, or annual (annual plans offer bigger discounts). New users get a 72-hour unconditional refund—if you’re not satisfied, you get your money back. Long-term clients enjoy credit terms and invoicing support.