Full NUMA Scheduling Coverage
Optimizes CPU scheduling across entire NUMA nodes to minimize cross-node access latency, enhancing cloud smartphone performance for high-concurrency scenarios.
ARM Servers
ARM cloud servers leverage high-performance ARM architecture processors, delivering exceptional power efficiency as a core advantage. They provide optimized solutions for cloud computing, edge computing, and big data workloads. Compared to traditional x86 servers, ARM servers feature a multi-core design that efficiently handles high-concurrency tasks while significantly reducing operational costs. In scenarios like video encoding/decoding and cloud mobile deployments, ARM servers achieve 50%+ higher energy efficiency than x86 alternatives.
With an open ecosystem, scalable architecture, and high integration, ARM servers are ideal for mobile applications, IoT, and network infrastructure deployments—helping businesses achieve greener computing and seamless scalability.
Technical Specifications
Native Support for Cloud Gaming, Cloud Smartphones & Video Encoding
Optional Ampere®Altra® 128C*1 or Ampere®Altra® 128C*2
Ampere® Altra®-Based 2U2S Rack Server
Up to 256 ARM* N1 physical cores (3.0 GHz fixed frequency)
Support 16-channel 32*3200MT/s DDR4 DIMMs, 2TB max capacity (Superior memory access compared to x86 platforms)
Optional Ampere®Altra® 128C*1 or Ampere®Altra® 128C*2
Storage: Max 16× 3.5"/2.5" hard disk (SAS/SATA/NVMe), 256TB SSD capacity
Expansion: supports 8× T4 GPUs or 4× VG1000 accelerators)
OCP 3.0 mezzanine slot (optional)
Advantages
Intelligent Task Queue Scheduling
Implements dynamic CPU task queue algorithm adjustments to reduce task wait times, boost multi-core utilization, and prioritize real-time task execution.
Interrupt Response Acceleration
Optimizes IO/GPU/network interrupt handling processes to mitigate interrupt latency, significantly improving cloud device graphics rendering and network transmission efficiency.
High-Latency Function Optimization
Optimizes compute-intensive kernel functions via CPU instruction sets or algorithmic refactoring to elevate critical operation performance.
High-Efficiency Memory Reuse
Expands memory reuse scopes to reduce redundant allocation overhead, shortening cloud device startup times and lowering memory fragmentation rates.
Dynamic Watermark-Based Reclamation
Employs adaptive memory watermark algorithms to accelerate idle memory recovery while ensuring rapid response to new demands under heavy workloads.
Advantages in Bitstream Processing Capability
At 2Mbps bitrate, Og demonstrates superior encoding quality with enhanced text legibility and edge rendering compared to conventional solutions.
Image Quality Enhancement
Pre-configured Three-tier Static Encoding Presets:Basic Fluency Mode / Balanced SD Mode / Ultra HD Mode
Intelligent Encoding Resource Allocation:Supports local/pooled encoding configurations, delivering 2-3dB quality gains through hybrid encoding strategies.
Fluency Optimization
Computational Resource Optimization:Implements encoding task offloading to substantially reduce end-device CPU load.
Hardware Acceleration Solution:Leverages dedicated encoding chips to minimize encoding latency.
End-to-End Touch Data Optimization:Redesigned acquisition-processing-rendering pipeline achieves comprehensive fluency improvements.
Frame Rate Control Technology:Employs dynamic frame compensation algorithms to ensure visual stability.
Image Quality and Smoothness Optimization Comparison
Before Optimization
After Optimization
Optimization of Screen Smoothness
Advantages of Android OS images
Case Studies