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Lightlayer Singapore High-Performance GPU Server Review: 8×RTX4090 Power for AI Training and Rendering

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Lightlayer’s newly launched Singapore GPU server delivers extreme computing performance with 8× NVIDIA RTX 4090 GPUs, dual AMD EPYC 7763 processors, massive memory capacity, and high-speed SSD storage. It is designed specifically for high-performance workloads such as AI model training, deep learning, and advanced image rendering. The server configuration includes two AMD EPYC 7763 CPUs, totaling 128 cores and 256 threads, paired with 2TB of RAM. Storage consists of 400GB NVMe SSD plus four 7TB SSD drives, supporting multiple RAID modes (0/1/5/10), allowing flexible balance between data redundancy and performance. By default, it offers 1Gbps unlimited bandwidth on international routes, making it suitable for global access scenarios. The bandwidth can also be upgraded to 10Gbps to meet more demanding workloads.
Lightlayer Singapore High-Performance GPU Server Review: 8×RTX4090 Power for AI Training and Rendering
Lightlayer official website: Home || Lightlayer – Light Cloud Easy Computing On the GPU side, the server is equipped with 8× NVIDIA RTX 4090 graphics cards, making it ideal for large-scale neural network training, 3D rendering, and compute-intensive workloads. It supports both Windows 11 and Ubuntu 22.04, ensuring compatibility with a wide range of development frameworks and software environments. The server includes 1 default IPv4 address, with support for up to 10 additional IPs. For payment, PayPal and Alipay are supported, allowing both international and domestic users to complete purchases easily. However, please note that this GPU server does not support refunds, so configuration and requirements should be confirmed carefully before purchasing.
  • Singapore GPU Server
  • CPU: 2 × AMD EPYC 7763
  • Memory: 2TB
  • Storage: 400GB NVMe + 4 × 7TB SSD
  • Bandwidth: 1Gbps / Unlimited traffic
  • Price: $3180/month
  • Purchase Link
FAQ Q1: What scenarios is this GPU server suitable for? A: It is ideal for AI training, large model inference, 3D rendering, scientific computing, and other GPU-accelerated parallel workloads. Q2: Can I upgrade the bandwidth? A: Yes. The default is 1Gbps unlimited bandwidth, and it can be upgraded up to 10Gbps depending on workload requirements. Q3: Can I add or change IP addresses? A: Yes. Up to 10 IPv4 addresses can be added, making it suitable for multi-service deployment scenarios. Q4: What payment methods are supported? Is refund available? A: PayPal and Alipay are supported. Please confirm your configuration before purchase, as this product does not support refunds.
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