Quantix Quantix

OEM/ODM Content Delivery Network Manufacturers & Suppliers

Next-Generation Edge AI Infrastructure & Custom High-Throughput CDN Hardware Solutions

High-Performance Edge CDN & Server Nodes

xFusion Fusionserver 2488H V6
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FusionServer G5200 V5
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XP270-M2 RAID Card
XP270-M2- (SAS3808 BootCard) - M2 RAID Standard Card-RAID0,1,JBOD No Cache - Supports Edge Band Management Adapted to Servers
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NL SAS HDD
Servers NL SAS HDD Universal Hard Drive Disk 4000GB/ 6000GB/8000GB/10000GB/12000GB SAS 12Gb/s-7200rpm (Includes 3.5-inch Tray)
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Dell PowerEdge R760
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xFusion 2258 V7
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xFusion FusionServer 1288H V7
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Global Procurement Trends: The Next-Gen Edge CDN Revolution

The global landscape of digital content delivery has transitioned from standard static asset caching to real-time, dynamic Edge Computing. Modern hyperscalers, global Content Delivery Network (CDN) providers, and Tier-1 telecommunications companies are facing unprecedented I/O pressure. The integration of Generative AI, Large Language Models (LLMs) like DeepSeek, and ultra-high-definition video streaming (4K/8K) requires edge nodes to execute heavy computing workloads locally. Rather than relying purely on centralized cloud facilities, modern infrastructure demands high-performance local execution capacity.

Information Gain: Standard CDN servers configured with traditional SATA SSDs and dual-port gigabit NICs fail under contemporary traffic loads. Modern deployments demand PCIe Gen 5 NVMe drive arrays, SmartNICs featuring hardware-offloaded cryptographic termination, and dedicated low-latency hardware architectures capable of processing hundreds of gigabits per second per rack unit.

Global procurement teams are shifting away from off-the-shelf server configurations in favor of tailored OEM/ODM hardware alignments. The criteria for edge nodes have evolved. Today's hardware must exhibit optimized thermal profiles to operate continuously in remote Point of Presence (PoP) datacenters, robust out-of-band management modules to ensure headless operational continuity, and custom chassis depths suitable for various telecom and network rack environments.

Quantix Intelligent Computing: Industrial Excellence at Scale

Founded in 2017, Quantix Intelligent Computing Co., Ltd. has established itself as an authoritative leader in high-performance computing design and AI infrastructure orchestration. Our operational scale is optimized to build, validate, and ship next-generation server topologies for enterprise applications.

14+
Years of Industry Expertise
Deep technical foundation in computing and platform architectures.
9+
Years Export Experience
Serving global buyers in North America, Europe, and APAC.
$18M+
Annual Export Revenue
Indicating strong global demand and commercial scalability.
850+
Supply Chain Partners
Guaranteeing raw component availability and cost optimization.
78
R&D Engineers
Specialists in firmware, thermal dynamics, and circuit layouts.
46
QC Professionals
Managing rigorous component burn-in and validation protocols.
126
New Solutions Annually
Ensuring our designs remain at the cutting edge of AI advancements.
420㎡
Production Center
High-precision testing, staging, and assembly facilities.

Macro-Level Industry Solutions

Our customized computing hardware addresses critical infrastructure challenges across multiple industries. By designing bespoke chassis layout schemes and choosing specific components, we fulfill the architectural needs of diverse operating environments:

Ultra-Low Latency CDN Caching

Our hardware platforms are engineered for extreme read IOPS. Integrating PCIe Gen 4/5 NVMe storage channels with dual-port 100GbE configurations removes storage access bottlenecks, allowing data packets to bypass traditional OS overhead for direct routing to the network interface.

Smart City & AI Video Analytics

Utilizing GPU-accelerated computing nodes like the G5200 V5, city operators run real-time video stream ingestion and analytical modeling directly at the edge. This significantly reduces backhaul bandwidth expenses by processing and filtering raw security footage locally.

Localized LLM & DeepSeek Nodes

We manufacture specialized short-depth servers designed to accommodate high-wattage GPU accelerator cards. This enables enterprises to deploy local AI inference engines safely within their private networks, maximizing data privacy while maintaining low latency.

Technical Roadmap & Customization Architecture

Quantix provides flexible OEM and ODM services that cover the entire product development lifecycle. From designing custom PCB layouts and optimizing thermal performance to customizing system firmware and modifying chassis brackets, our engineering team tailors every detail to your requirements.

Architecture Component Standard Enterprise Server Quantix Custom CDN/Edge Node Solutions
Chassis Configurations Standard depth (800mm+), requires standard data center racks. Short-depth chassis profiles (450mm - 600mm) for edge enclosures and telecom infrastructure.
Network Interface Cards Basic 10G/25G SFP28 network adapters. Integrated SmartNICs/DPUs (100G/200G) with hardware-level TLS offload, BGP Anycast, and DPDK support.
Storage Subsystems Mixed SATA SSDs and mechanical HDDs with high latency. All-NVMe configuration with PCIe Gen 5 lanes, yielding read throughput speeds up to 14,000 MB/s.
Thermal Solutions Standard fan assemblies with fixed cooling curves. Dynamic counter-rotating fans, optimized copper heat sinks, and liquid cooling options for high-density GPU nodes.
Firmware & BMC Proprietary closed-source firmware with restricted features. Custom BIOS/UEFI profiles, OpenBMC integrations, and remote telemetry API support.

System Integration & OEM/ODM Capability

Our engineers focus on providing flexible solutions from Level 6 (L6) component assembly to Level 10 (L10) fully integrated system deployment. We handle electrical layout modifications, high-density PCIe layout designs, custom chassis branding, and target-specific packaging designs. Whether you need configurations optimized for high-capacity edge caching or GPU-dense inference nodes, our global supply chain ensures quick delivery.

Strict Quality Engineering & Regulatory Compliance

Operating a robust global network infrastructure requires reliable hardware. At Quantix, every manufactured system undergoes a series of rigorous testing phases to ensure operational stability:

  • Incoming Material Quality Control (IQC): Thorough screening of silicon components, storage media, and power units prior to assembly.
  • System Staging & Burn-In Testing: Minimum 72-hour continuous thermal chamber cycling at 40°C to verify chip reliability.
  • I/O Performance Analysis: Automated benchmark execution to verify NVMe read/write metrics and packet transmission rates.
  • Regulatory & Compliance Auditing: Verification of international compliance certifications, including CE, FCC, RoHS, and WEEE, to ensure simple custom clearance.

Our quality assurance protocols help secure data integrity and align with global privacy requirements, such as GDPR and HIPAA, by enabling hardware-level encryption (TPM 2.0 and secure boot capabilities).

Quantix Staging Area Quantix Assembly Floor Quantix Testing Chamber Quantix Shipping Racks Quantix R&D Lab Quantix Final QC

Inside the Quantix Production & Testing Facilities: Strict compliance verification and hardware diagnostics.

AI Acceleration & Advanced Network Storage Nodes

AI Inference G5200 V5
AI Inference G5200 V5 GPU Server for Deep Learning Training and Smart City Video Analysis
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FusionServer 5288 V7
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Dell PowerEdge R660
DEll PowerEdge R660 1U 2-Socket Network Server Intel Xeon 4410Y 64GB DDR5 4800mhz Server D Ell R660 Rack Server
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xFusion Fusionserver 2288H V6
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Fusionserver Pro 1288H V7
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FusionServer 2288H V7
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High Performance Ai Gpu Server
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Dell Poweredge 2U Rack Servers
Hot Selling DEll Poweredge 2U 2-socket Network Series Servers R730 R740 R750 R760XS XD Computer Rack Epyc Nas Storage Server
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Frequently Asked Questions (FAQ)

Explore detailed responses to common technical questions about our CDN infrastructure and customized hardware capabilities:

What specific OEM/ODM customization options do you offer for Edge CDN hardware?
We provide comprehensive hardware engineering solutions, including custom chassis layouts (such as short-depth chassis for standard telecom configurations), bespoke power supply configurations (AC/DC redundancy), specialized PCIe placement for high-bandwidth SmartNICs and DPUs, tailored BIOS/UEFI settings, OpenBMC management integration, and custom branding options.
How do your servers support high-density NVMe storage for data caching?
Our edge servers are engineered with direct-attach PCIe Gen 4 and Gen 5 NVMe drive bays. This architecture eliminates intermediate controller bottlenecks, delivering read speeds up to 14,000 MB/s per drive. This design is optimized to handle concurrent reads during high-volume caching spikes.
Do your systems support hardware-based TLS decryption?
Yes, our motherboard platforms are compatible with Intel QuickAssist Technology (QAT) and advanced SmartNICs. This allows the system to offload TLS/SSL cryptographic handshakes from the main CPU, preserving computing power for application-level operations and caching.
What is the standard production and shipping lead time for custom configurations?
Standard ODM prototype systems are generally developed and validated within 4 to 6 weeks. Following design sign-off, bulk production orders typically ship within 15 to 30 business days, depending on configuration complexity and volume, leveraging our network of over 850 supply chain partners.
How do you guarantee quality control during high-volume production?
Our team of 46 quality control professionals manages a multi-stage validation process. Every server undergoes component-level verification, automatic electrical path validation, 72-hour thermal stress testing in specialized chambers, and a final configuration audit before secure packaging.
Are your systems optimized for local deployment of AI models like DeepSeek?
Yes. Our GPU-dense platforms, including the G5200 V5, are configured to accommodate multi-GPU layouts with high-speed PCIe switches. This high-bandwidth design is optimized for deep learning models and large language model (LLM) processing directly at the network edge.