NVIDIA A16 · A40 · A100 · L40S instances for AI training, LLM inference, and machine learning. CUDA-ready, hourly billing, free DDoS protection.
香港GPU雲端伺服器 — 適合AI訓練、大型語言模型推理及機器學習工作負載
All prices in USD. Billed hourly to the second.
Prices shown are indicative. Exact pricing visible at deploy time. All plans include free DDoS protection and 10 Gbps network.
Built for AI/ML teams who need performance without the enterprise contract.
Local Asia-Pacific infrastructure for ultra-low latency AI inference serving Hong Kong and Greater China.
Enterprise-grade DDoS mitigation included on every GPU instance at no extra cost.
Train a model for 2 hours, pay for 2 hours. No reserved instances, no minimum commitment.
CUDA-ready Ubuntu 22.04 images. SSH in and start training immediately — no driver setup needed.
High-throughput networking for distributed training, large dataset transfers, and model serving.
Deploy GPU workloads in Hong Kong, Tokyo, Singapore, and 29 more regions worldwide.
What Hong Kong teams are building with LightYear GPU Cloud.
Fine-tune Llama, Mistral, or GPT-based models on your proprietary HK/Chinese language datasets.
Host low-latency inference endpoints for Cantonese NLP, OCR, and computer vision applications.
Train PyTorch and TensorFlow models with CUDA acceleration on A40 or A100 GPUs.
Run image generation pipelines for creative agencies and e-commerce product photography.
GPU-accelerated ETL pipelines for financial data, trading analytics, and real-time processing.
Academic and enterprise HPC workloads with NVLink-enabled A100 instances.
GPU Cloud Hong Kong — common questions answered.
LightYear offers NVIDIA A16, A40, A100, and L40S GPU instances deployable across our Asia-Pacific regions including locations near Hong Kong. All instances are billed hourly with no minimum commitment.
GPU instances are provisioned in under 60 seconds. NVIDIA drivers and CUDA are pre-installed on our Ubuntu 22.04 images, so you can start training or running inference immediately after SSH access is available.
No. All GPU instances are billed hourly to the second. You can deploy for a 2-hour training run and pay only for those 2 hours. There are no reserved instance requirements or minimum commitments.
The NVIDIA A40 (24GB VRAM) is ideal for inference, fine-tuning smaller models, and rendering. The A100 (80GB VRAM) is designed for large-scale LLM training, distributed workloads, and research requiring maximum VRAM. For most inference and fine-tuning tasks, the A40 offers the best price-to-performance ratio.
Yes. Free DDoS protection is included on every GPU instance, just like all other LightYear cloud products. There is no additional charge for DDoS mitigation.
Yes. Our CUDA-ready Ubuntu 22.04 images support PyTorch, TensorFlow, Hugging Face Transformers, and Stable Diffusion out of the box. The A40 with 24GB VRAM is particularly well-suited for running 13B-30B parameter models.