AI Data Center Turnkey Solutions AI数据中心交钥匙解决方案
HICHIP integrates GPU clusters, high-speed PCIe 5.0 storage, and ultra-low-latency networking into complete Neo Cloud AIDC solutions. From design to deployment, we deliver AI-ready infrastructure. 海芯利华将GPU集群、高速PCIe 5.0存储和超低延迟网络集成到完整的智算云AIDC解决方案中。从设计到部署，我们提供AI就绪的基础设施。
The Rise of Neo Cloud 智算云的崛起
GPU-centric cloud infrastructure is the fastest-growing segment in computing. 以GPU为核心的云基础设施是计算领域增长最快的细分市场。
Neo Cloud providers like CoreWeave, Lambda Labs, and Crusoe deliver bare-metal GPU access optimized for LLM training, inference, and scientific computing. CoreWeave、Lambda Labs和Crusoe等智算云提供商提供针对LLM训练、推理和科学计算优化的裸金属GPU访问。
GPU Cluster Architecture GPU集群架构
Our GPU clusters integrate NVIDIA H100/H200 and AMD MI300X accelerators with high-bandwidth interconnects. Each node is optimized for distributed training with NVLink and InfiniBand networking. 我们的GPU集群集成了NVIDIA H100/H200和AMD MI300X加速器，配备高带宽互联。每个节点都针对分布式训练进行了优化，采用NVLink和InfiniBand网络。
- NVIDIA H100/H200 & AMD MI300XNVIDIA H100/H200与AMD MI300X
- NVLink 4.0 GPU-to-GPU 900 GB/sNVLink 4.0 GPU间互联900GB/s
- InfiniBand NDR 400 GbpsInfiniBand NDR 400Gbps
- Scalable from 64 to 10,000+ GPUs可扩展至64到10000+ GPU
AI-Optimized Storage Layer AI优化存储层
Storage is the bottleneck in AI training. We deploy Solidigm D7-PS1010 PCIe 5.0 SSDs as the primary storage tier, delivering 14 GB/s sequential read and 3.1M IOPS — eliminating data starvation during checkpoint saves and dataset loads. 存储是AI训练中的瓶颈。我们部署Solidigm D7-PS1010 PCIe 5.0 SSD作为主存储层，提供14GB/s顺序读取和310万IOPS——消除检查点保存和数据集加载期间的数据饥饿。
- Solidigm D7-PS1010 PCIe 5.0 NVMeSolidigm D7-PS1010 PCIe 5.0 NVMe
- 14 GB/s Read, 8.2 GB/s Write14GB/s读取，8.2GB/s写入
- D5-P5336 61.44TB for warm storageD5-P5336 61.44TB温存储
- Parallel filesystem (Lustre/WEKA)并行文件系统（Lustre/WEKA）
Ultra-Low-Latency Fabric 超低延迟网络架构
AI training requires microsecond-scale communication between thousands of GPUs. Our network fabric delivers sub-microsecond latency with RDMA over converged Ethernet (RoCE) and InfiniBand. AI训练需要数千个GPU之间微秒级通信。我们的网络架构通过RoCE和InfiniBand提供亚微秒级延迟。
- 400 Gbps NDR InfiniBand400Gbps NDR InfiniBand
- GPUDirect RDMA zero-copyGPUDirect RDMA零拷贝
- Spine-leaf topologySpine-Leaf拓扑
- DCB/PFC for lossless EthernetDCB/PFC无损以太网
AI Workloads We Enable 我们赋能的AI工作负载
LLM Training 大语言模型训练
Pre-training and fine-tuning of GPT-class models with thousands of GPUs and exabyte-scale storage. 使用数千GPU和EB级存储进行GPT级别模型的预训练和微调。
Real-Time Inference 实时推理
Low-latency inference serving with optimized batch sizes and KV-cache management. 通过优化批次大小和KV缓存管理实现低延迟推理服务。
Scientific Computing 科学计算
Climate modeling, molecular dynamics, and CFD simulations at scale. 大规模气候建模、分子动力学和CFD仿真。
Financial Quant 金融量化
Risk modeling, Monte Carlo simulations, and real-time market data processing. 风险建模、蒙特卡洛模拟和实时市场数据处理。
Autonomous Driving 自动驾驶
Sensor data processing and neural network training for self-driving perception. 传感器数据处理和自动驾驶感知的神经网络训练。
Media Rendering 媒体渲染
GPU-accelerated rendering for VFX, animation, and virtual production pipelines. 视觉特效、动画和虚拟制作管道的GPU加速渲染。