
Unleash Infinite AI Power
NVIDIA RTX 5090 / A100 / H100 / H200 GPU clusters — 2,000+ GPUs on InfiniBand, powering LLM training, inference acceleration and HPC.
Flagship GPU Cluster Configurations
Multiple GPU models and cluster sizes for every stage of AI
AI Computing for Every Scenario
From 100B-parameter LLMs to real-time inference, from research computing to content creation
100B-Parameter LLM Training
A100/H100/H200 heterogeneous clusters with FP8/FP16 mixed-precision training. Supports Megatron-LM, DeepSpeed, Colossal-AI. > 85% scaling efficiency at 1,000 GPUs.

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High-Performance Inference
Deeply optimized with TensorRT-LLM, vLLM and Triton Inference Server. Continuous batching, KV-cache optimization and speculative sampling. < 100ms latency for 100B models.

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8K Cinematic Rendering
NVIDIA Omniverse + RTX 5090 / A100 clusters with distributed Blender, Maya and Houdini rendering. 8K frames: from hours to minutes.

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High-Performance Scientific Computing
Molecular dynamics, climate simulation, financial Monte Carlo. Full CUDA ecosystem: GROMACS, LAMMPS, OpenFOAM and more.

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Industry-Leading Benchmarked Performance
Measured comparison between our clusters and same-spec public-cloud GPU instances under identical framework settings; industry averages from public benchmarks, for reference only
Complete Software Stack
Pre-installed mainstream AI frameworks and toolchains, ready out of the box
Customer Success Stories
From zero to large-scale clusters, SUOZHOU helped us complete LLaMA2-70B continued pre-training. Rock-solid stability — 30 days of large-scale training with zero interruption.
Trailer rendering shrank from 2 weeks to 3 days. Elastic GPU scheduling let us scale fast at project peaks.
Monte Carlo simulation for risk models demands massive compute. SUOZHOU GPU clusters let us finish everything before trading hours.
Perception models need massive parallel training. SUOZHOU RTX 5090 clusters gave us a huge edge in iteration cycles — 60% higher training efficiency than the previous generation.
Get GPU Power in Three Steps
Requirements Consultation
Talk to our solution architects about your model size, framework preferences and budget
Solution Design
We design the optimal cluster: GPU model, node count, network topology and storage
Cluster Handover
Software pre-installed, distributed training validated and accepted — ready to run
Experience Top-Tier GPU Computing Now
AI startup, research institute or enterprise IT team — we tailor computing solutions for you