Australia GPU Dedicated Hosting & Bare Metal A2 16GB

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¥6800Starting At
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Australia Enterprise Dedicated GPU Servers · Engineered for AI Inference & Edge Computing

We deploy premium GPU bare-metal clusters in Australia, catering to localized and APAC demands for AI inference, intelligent video analytics, and high-concurrency deep learning. Every server features 100% dedicated hardware with professional NVIDIA graphics, ensuring raw performance without virtualized overhead or overselling. To streamline your development workflow, we offer complimentary OS installation with pre-configured AI runtime environments (including CUDA and cuDNN), fully compatible with PyTorch and TensorFlow out of the box. Coupled with local Australian BGP high-bandwidth networking, it guarantees fast ingestion and export of massive datasets. Overall computing costs are over 30% lower than equivalent GPU instances on AWS or Google Cloud, supported by flexible monthly billing and 24/7 bilingual support.

Australia Network Testing · Looking Glass

Native BGP Network 1:119.82.146.1  |  Native BGP Network 2:114.31.192.3

Australia Server Configurations & Pricing

Brisbane1 Options
CPUGPURAMStorageBandwidthIPPricingActions
2xGold-5515 32 Cores 64 Threads Flagship Nvidia A2 16GB256GB1TB SSD 1Gbps@10TB1 IP ¥6800 Deploy Now

Brisbane Data Center · Premium NVIDIA A2 GPU Configuration Recommended

For AI inference, computer vision, and lightweight model development, the synergy between the GPU and host hardware is critical. Our featured setup at the Brisbane data center features: Dual Intel Xeon Gold-5515 (32 Cores/64 Threads) + NVIDIA A2 16G GPU + 256GB RAM + 1TB SSD + 1Gbps @ 10TB Bandwidth, priced at just ¥6800/month. Built on the Ampere architecture, the NVIDIA A2 delivers exceptional performance-per-watt and hardware-accelerated transcoding, making it highly suitable for intelligent video analytics and real-time inference. Accompanied by 256GB of high-density RAM, it allows large model weights to reside entirely in system memory to eliminate I/O latency. Our Brisbane data center provides redundant cooling and high-density power paths to prevent thermal throttling under sustained heavy loads. Servers are in stock with deployment in as fast as 1 hour. View Brisbane Data Center GPU Configurations →

Australia GPU Server FAQ

How much does a Australia dedicated server cost?

Bare metal servers in our Brisbane data center start at just ¥6800/month. This all-inclusive pricing covers dedicated hardware, native IP allocation, network bandwidth, and standard technical support—with absolutely zero setup fees or hidden charges. We offer flexible billing cycles (monthly, quarterly, semi-annual, and annual), with attractive tiered discounts for long-term commitments. All server configurations and real-time pricing are fully transparent and listed on our product page.

Payment methods & Refund policy?

1. We accept Alipay, WeChat Pay, PayPal, and USDT (TRC20).
2. We do not support unconditional refunds. However, in the rare event of hardware failure or unresolvable network issues, we guarantee a prorated refund based on the remaining service days.

How soon can I start using the server after payment?

After payment confirmation, in-stock standard configurations are typically delivered within 1-4 hours, and custom configured servers are generally delivered within 24 hours. For special requirements such as hardware customization, OS pre-installation, or additional configurations, it may take 1-3 business days. For urgent needs, please contact our support team to request expedited processing.

What can GPU servers do? What uses are prohibited?

Suitable for: AI training/inference, deep learning, cloud gaming, 3D rendering, video transcoding, scientific computing. PROHIBITED: Cryptocurrency mining is strictly forbidden - violations result in immediate termination without refund. Other illegal uses also prohibited.

Does GPU server support CUDA? Is deep learning environment pre-installed?

Full CUDA support. Pre-installation available: CUDA 11.8/12.0, cuDNN 8.9, TensorRT 8.6; Python/Anaconda environment; TensorFlow, PyTorch, JAX frameworks; Docker GPU support (nvidia-docker). Custom versions available - ready to use out of the box.