Professional Cloud Computing & Big Data Service Provider · Serving 10,000+ Clients

AI Model Services

Software-hardware co-design with unified training & inference, offering LLM services, AI all-in-one appliances and token-based compute.

AI Stack All-in-One Appliance

Software-hardware synergy with unified training & inference to build AI services fast.

Huge Capacity
  • 1.5TB+ VRAM
  • 16-card single node, 1.5TB+ VRAM
  • 700GB/s inter-card interconnect
Huge Bandwidth
  • 1.6T bandwidth
  • 1.6T inter-node communication
  • Low-latency congestion-free networking
Top Performance
  • Single node runs full DeepSeek BF16 at high concurrency
  • 3000+ Tokens/s throughput
Benchmark Results
ModelPrecisionVRAMThroughput (tokens/s)Concurrency
DeepSeek-R1/V3BF161536 GB3708256
DeepSeek-R1/V3INT81536 GB5872512

Note: data from lab tests; actual performance depends on delivery environment.

Data Sensitivity

On-premise private deployment keeps sensitive data (government, finance) off the cloud, meeting data-sovereignty and privacy requirements.

Private Scalability

Pre-installed optimized models and full-stack toolchain (data processing, distillation fine-tuning, agent building) enable out-of-the-box use, cutting deployment from weeks to hours.

High-concurrency Inference

16-card node at 16/8/4-bit supports high-concurrency full-power DeepSeek-R1/V3; BF16 8K+ tokens input latency within 50ms; in-house engine boosts throughput 50% and cuts latency 50% vs vLLM.

Pay-per-Token Elastic Compute

No self-built clusters; pay for actual usage and call LLM inference instantly.

Pay-as-you-go
Pay-as-you-go

Token-based metering; transparent and controllable cost.

Elastic Scaling
Elastic Scaling

Scale compute on demand to handle peaks.

Multi-model Access
Multi-model Access

Unified access to DeepSeek and mainstream LLMs.

High Concurrency
High Concurrency

Optimized inference pipeline for stable low latency.

Start Your AI Transformation

Whether private all-in-one or elastic token compute, we match the best AI landing path for you.

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