Le blog de l'entreprise Supply Intel Ethernet 800 Series Controllers:E835,E830,E810

Supply Intel Ethernet 800 Series Controllers:E835,E830,E810

Shenzhen Mingjiada Electronics Co., Ltd. specialises in the sale of electronic components. Through consistent quality, timely delivery and professional service, we provide our customers with an efficient, convenient and high-quality procurement experience.

Core strengths in electronic component supply:

1. Comprehensive coverage of brands and product categories, offering a one-stop ordering service

We collaborate with over 500 leading global original manufacturers, covering the full range of product categories including AI chips, power semiconductors, optical communications, MCUs, automotive-grade sensors, memory, and wireless IoT devices.

Catering to multiple sectors such as consumer electronics, industrial electronics, automotive electronics, new energy, data centres and 5G communications, we can fully fulfil customers’ BOMs and source even obscure, discontinued or hard-to-find components.

2. Strict Authenticity Controls and Comprehensive Quality Management System

Direct supply via authorised channels, 100% original packaging, full batch traceability, and a strict ban on refurbished or loose new components.

Holds dual ISO 9001 (Quality) and ISO 14001 (Environment) certifications; automotive-grade components comply with the AEC-Q100 standard, making them suitable for high-reliability industrial and automotive projects.

3. Vast Stock in Dual Warehouses, Efficient Delivery

With two smart warehouses in Shenzhen and Hong Kong, we maintain over 2 million SKUs in stock at all times. We stockpile high-demand chips in large quantities to alleviate industry-wide shortages and supply disruptions.

Rapid fulfilment: standard orders are delivered within 1–3 days; urgent orders are dispatched from the warehouse within 4 hours and shipped within 24 hours.

4. Flexible procurement models to suit the entire production cycle

Low minimum order thresholds, with samples available from as little as one piece, catering to the needs of R&D prototyping (small batches), trial production (medium batches) and factory bulk procurement.

5. Comprehensive support services for peace of mind

Rapid quotation response, with formal quotations issued within 24 hours via standardised processes; diverse logistics solutions supporting multiple delivery options in Hong Kong and Shenzhen; integrated pre-sales selection, in-sales follow-up and post-sales warranty services, reducing the cost to customers of liaising with multiple suppliers.

Differentiated core advantages of the E810, E830 and E835

1. Intel E810: High-Performance Entry-Level 100 Mbit/s Workhorse (10G–100GbE)

As the flagship model of the 800 series, the E810 is the standard network controller for large-scale cloud servers, edge computing nodes and small-to-medium-sized data centres. It utilises a mature 16nm process, supports up to 100GbE bandwidth and features high-speed PCIe 4.0/3.0 buses.

Core Technologies: Native support for both RDMA RoCEv2 and iWARP protocols, SR-IOV hardware-accelerated virtualisation offload, and DDP dynamic device personalisation, combined with DPDK packet acceleration, significantly frees up CPU computing power;

Flexible Port Configuration: Available in multiple configurations including single/dual 100G ports, quad 25G ports and dual 50G ports, compatible with SFP28/QSFP28 optical modules;

Suitable Applications: Public cloud inference servers, industrial machine vision gateways, 5G edge base stations, small and medium-sized storage clusters, and enterprise virtualisation platforms.

2. Intel E830: Mid-range 200G all-rounder (10G–200GbE)

The E830 is the flagship upgrade to the 800 series, offering seamless compatibility with the E810 software ecosystem. Equipped with a PCIe 5.0 x8 bus, it delivers up to 200GbE line-rate throughput on a single chip, balancing high performance with cost-effectiveness, making it the preferred solution for medium-to-large-scale AI training clusters and telecoms core networks.

Key technical highlights: EPCT port visualisation configuration tool, enabling a single chip to switch between 8 port configurations (1×200G/2×100G/4×50G/8×25G); system-wide power consumption reduced by 30% compared to the previous generation; support for IEEE 1588v2 precision clock synchronisation; port latency below 1μs; Built-in hardware root of trust and 256-bit MACsec encryption, compliant with the CNSA national security algorithm standard;

Key Advantages: Cross-generation driver compatibility; upgrading existing E810 equipment requires no software architecture re-engineering, reducing the TCO of data centre refurbishment; native compatibility with 6th and 7th generation Xeon server platforms;

Suitable scenarios: medium-sized AI training GPU clusters, telecoms operators’ mobile core networks, high-frequency trading financial servers, distributed storage, and large-scale government and enterprise data centres.

3. Intel E835 Flagship 200G Ultra-High-Efficiency Controller (10G–200GbE)

The E835, the latest flagship controller in the 800 series, reengineers the data path for hyperscale, high-density computing scenarios. At 200G full line-rate, its energy efficiency is up to 47% higher than that of competing products, with a performance-to-power ratio 1.9 times that of the previous generation. It is specifically designed for high-density AI supercomputing, hyperscale cloud data centres and Fixed Wireless Access (FWA).

Flagship Features: End-to-end power consumption optimisation, significantly reducing cooling and electricity costs in high-density racks; full PCIe 5.0 bandwidth utilisation, supporting massive concurrent virtualised vPorts; enhanced hardware security with firmware signing and secure boot; comprehensive upgrades to timing accuracy and network offload capabilities;

Core Competitive Advantages: Doubled single-node bandwidth density in high-density rack scenarios, suitable for AI training clusters with tens of thousands of cards, supercomputing centres, and national-level telecommunications backbone networks;

Suitable Scenarios: Hyperscale generative AI computing clusters, hyperscale data centres operated by cloud providers, 5G/6G core networks, and high-speed, low-latency financial trading data centres.