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GPU Bare Metal Cluster

Zero virtualization, single-tenant exclusive, native driver passthrough. Blackwell, Hopper, Ampere, Ada -- four generations of architecture. Linear scaling to thousands of GPUs. Promised performance, guaranteed delivery.

CNY Settlement · Below Market · Pay-as-you-go
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GPU Architectures
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Global Nodes
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Availability SLA
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Ultra-low Latency

Built for Serious Workloads

GPU compute built on bare-metal hardware across multiple global regions. Every instance is single-tenant — your models run directly on the silicon with no virtualization overhead, no shared resources, and no surprise contention. Pre-installed stacks get you training within minutes, not days.

Use Cases

One Platform, Every Workload

From trillion-parameter pre-training to real-time inference.

Model Training & Fine-tuning

Pre-train from scratch or fine-tune Llama/Qwen/custom models. NVLink + RDMA across 8-GPU nodes scales to thousands of cards.

Llama-70B · ~3,500 GPU hours

AI Inference

Deploy vLLM, TensorRT-LLM, or TGI with sub-100ms P99 latency. H100 + H200 deliver 8TB/s memory bandwidth for FP8/FP4 inference.

<100ms P99 latency

Rendering & Simulation

Blender, Unreal Engine, NVIDIA Omniverse. RTX 4090 ships NVENC + NVDEC for hardware ray tracing and video pipelines.

RTX 4090 · NVENC + NVDEC

Scientific Computing

CUDA-accelerated simulation, molecular dynamics, CFD, climate modeling. Pre-installed with cuDNN, NCCL, MPI.

cuDNN · NCCL · MPI ready
GPU Specs

GPU Products · 4-Gen Architecture

Choose by use case. Guaranteed performance delivery.

Pre-training of 100B+ models, SFT/RLHF, distributed training across thousands of GPUs.

Recommended

H100 High-Performance Cluster

Hopper
Interconnect
NVLink 900GB/s
Memory
640GB HBM3 (8x80GB)
Form Factor
8-GPU standard node
Highlights

80GB HBM3 per card · Linear scaling to 1000+ GPUs · Single-tenant isolation

Advantages

RDMA · Full NVLink mesh · Best for distributed training

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Flagship

Blackwell B200 Cluster

Blackwell
Interconnect
NVLink 5th Gen 1.8TB/s
Memory
1536GB HBM3e (8x192GB)
Form Factor
8-GPU standard node
Highlights

192GB HBM3e per card · 8TB/s memory bandwidth · Train + infer flagship

Advantages

Trillion-parameter training · FP4 inference · 4x generation leap

Submit Requirements

Deploy vLLM/TensorRT-LLM/TGI with FP8/FP4 quantization and sub-100ms P99 latency.

Inference Pick

Blackwell B200 Cluster

Blackwell
Interconnect
NVLink 5th Gen 1.8TB/s
Memory
1536GB HBM3e (8x192GB)
Form Factor
8-GPU standard node
Highlights

FP8/FP4 quantized inference · 8TB/s bandwidth · 10k+ QPS

Advantages

Low latency · High throughput · Inference-optimized

Submit Requirements
Best Value

H100 High-Performance Cluster

Hopper
Interconnect
NVLink 900GB/s
Memory
640GB HBM3 (8x80GB)
Form Factor
8-GPU standard node
Highlights

80GB HBM3 · 3TB/s memory bandwidth · Mature ecosystem

Advantages

vLLM/TGI ready-to-use · Flexible scaling

Submit Requirements

Blender/Unreal Engine/NVIDIA Omniverse with NVENC + NVDEC hardware acceleration.

Top Pick

RTX 4090 Developer

Ada Lovelace
Interconnect
PCIe Gen5
Memory
192GB GDDR6X (8x24GB)
Form Factor
8-GPU standard node
Highlights

24GB GDDR6X · NVENC + NVDEC · Hardware ray tracing

Advantages

Cost-effective · Entry-level GPU compute

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CUDA-accelerated simulation, molecular dynamics (GROMACS/NAMD), CFD, climate modeling.

Best Value

A100 Cluster

Ampere
Interconnect
NVLink 600GB/s
Memory
320GB HBM2e (8x40GB)
Form Factor
8-GPU standard node
Highlights

40GB HBM2e · Mature CUDA 12.x ecosystem

Advantages

Stable · Lowest cost per GPU-hour

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Performance

H100 High-Performance Cluster

Hopper
Interconnect
NVLink 900GB/s
Memory
640GB HBM3 (8x80GB)
Form Factor
8-GPU standard node
Highlights

3TB/s memory bandwidth · FP64 double precision

Advantages

Computational chemistry · Large-scale parallel simulation

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Why Choose Us

Lower Cost, More Power, Better Service

Zero Virtualization Overhead

Bare-metal architecture, direct GPU access, 100% compute performance.

Flexible Configuration

Multi-GPU, cluster config, CPU/memory/storage on-demand customization.

Ready in Minutes

Pre-installed CUDA/PyTorch/vLLM, GPU stress-tested before delivery.

Enterprise-grade Security

Physical isolation, data encryption, compliance-ready security framework.

Technical Advantages

Zero-virt, GPU passthrough ✓
NVLink 900GB/s+ interconnect ✓
RDMA · Linear scaling ✓
24/7 technical support ✓

* Bare-metal physical isolation, guaranteed performance

FAQ

Still have questions?

Bare metal instances provide exclusive physical GPU access with zero virtualization overhead, ideal for large-scale training and compute-intensive tasks. Container instances share physical GPUs, suitable for lightweight inference and dev/test.
We support CNY settlement via Alipay, WeChat Pay, and bank transfer. Business users can request VAT invoices.
Standard GPU node configurations are typically deployed within 1-2 business days. Cluster deployment and large-scale custom solutions are evaluated based on specific requirements.
Yes. You can provide custom system images or choose from our pre-installed environments with CUDA/PyTorch/vLLM.

Get Started with AI Computing Today

Submit your requirements and our solutions team will recommend the optimal configuration for your use case.

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