GPU Cloud Server
A wide selection of GPU models with stable supply, delivering massive compute power for high-load scenarios such as AI inference & training, graphics rendering, AI tools, and digital humans — the solid foundation for enterprise-grade applications.
Key Capabilities of Enterprise GPUs
Compute Solutions for Industries & Developers
GPU Core Spec Comparison
Related Documents
Key Capabilities of Enterprise GPUs
High-Speed Network Architecture800 Gbps RDMA high-speed interconnect; supports GPUDirect RDMA and InfiniBand; inter-card bandwidth up to 22 GB/s+, cluster latency at microsecond level.
Ecosystem CompatibilityPre-installed images with CUDA drivers, TensorFlow, PyTorch, and other mainstream frameworks; also provides application images including ComfyUI, LLaMA-Factory, Qwen3, and more.
High Cost-Performance RatioFully domestic background ensuring data security and compliance; dedicated 1-on-1 technical team with instant response; East-West computing deployment for low-carbon, stable resource supply.
Enterprise-Grade AssuranceFlexible billing (hourly / monthly / yearly) to reduce upfront costs; try before committing to long-term rental with diverse discount options; 20+ GPU models covering the full inference and training workflow.
Compute Solutions for Industries & Developers
GPU Core Spec Comparison
| Model | VRAM | Memory Bandwidth | Core Performance (FP16) | Interconnect | Key Advantage |
|---|---|---|---|---|---|
| RTX 40 Series | 24G | 1.0 TB/s | 83 TFLOPS | PCIe 4.0 x16 | Best inference value, broadly adaptable scenarios |
| RTX 40 Series (48G) | 48GB | ~1.2 TB/s (est.) | 83 TFLOPS | PCIe 4.0 x16 | Massive VRAM for professional creation and mid-scale training |
| RTX 50 Series | 32GB | 1.79 TB/s | 105 TFLOPS | PCIe 5.0 x16 | Peak gaming & AI performance, next-gen architecture |
| RTX 3080 Ti | 12GB | 912 GB/s | 34 TFLOPS | PCIe 4.0 x16 | Cost-effective mainstream AI compute and graphics |
| RTX 30 Series | 24GB | 936 GB/s | 36 TFLOPS | PCIe 4.0 x16 | Large VRAM multi-tasking, ideal for algorithm dev and rendering |
| Tesla P40 | 24GB | 347 GB/s | 12 TFLOPS | PCIe 3.0 x16 | Large VRAM low-cost inference, high-density deployment |
| Tesla T4 | 16GB | 320 GB/s | 8.1 TFLOPS | PCIe 3.0 x16 | High efficiency inference, edge computing preferred |
| Tesla V100 | 16GB | 897 GB/s | 15 TFLOPS | PCIe 3.0 x16 | Strong double-precision compute, NVLink support, traditional HPC |
| A100 | 40GB / 80GB | 1.56 TB/s / 1.94 TB/s | 19 TFLOPS | PCIe 4.0 x16 | Top choice for large model training, absolute AI compute performance |
| A800 | 80GB | 1.94 TB/s | 19 TFLOPS | PCIe 4.0 x16 | A100 alternative, China-market exclusive |