AMD launches EPYC Embedded 9005 processors with Zen 5C architecture

AMD has officialized its new series of processors EPYC Embedded 9005bringing the architecture Was 5cwhich delivers greater energy efficiency and improved performance to storage and networking workloads. The new line focuses on edge computing applications (edge computing), where nuclei density and thermal efficiency are needs.

The new chips deliver 30% more energy efficiency compared to six -generation Intel Xeon competitors and up to 60% more data processing In specific tasks, according to AMD.

One of the main highlights of Zen 5C architecture is the compatibility with ddr5 memories of 6 tb per socket and support for 160 PCIE 5.0 tracks e CXL 2.0allowing high speed storage expansion.

AMD EPYC processor specifications 9005

Differentials and target market

New processors maintain compatibility with the socket SP5facilitating the updating of existing systems of the line EPYC Embedded 9004. According to AMD, the series warranty was expanded from five to seven yearsensuring greater reliability for industrial and business applications.

The extension of the warranty is an AMD commitment to the provision of long -term solutions for embedded systems, minimizing unplanned stops and hardware replacement costs

With these improvements, AMD reinforces its presence in the edge computing sector, offering high performance solutions for compact data centers, networks and applications that require efficient and sustainable processing.

What is border computing?

A border computing (edge computing) is a data processing model that occurs near the data source rather than a central server or a distant data center.

The concept has gained popularity due to the increasing need for faster and more efficient processing, reducing latency and network congestion.

How does edge computing work?

In traditional systems, data collected by sensors, IoT devices or other equipment is sent to a cloud server or a data center to be processed.

With border computing, this processing happens closer to the user or the origin device. This means that decisions can be made locally without the need to send large data volumes for remote processing.

Where is border computing used?

Border computing has a wide range of applications, including:

• Smart cities: Traffic and public lighting sensors can process locally to adjust traffic signals or real -time power consumption.
• Autonomous vehicles: autonomous cars depend on quick responses to avoid accidents. Border computing allows processing to occur directly on the vehicle without depending on a cloud connection.
• Industry 4.0: Industrial machines and robots use edge computing for predictive monitoring and maintenance, optimizing production and reducing failures.
• Health: Connected medical devices can process patient data in real time, helping to diagnose and alert doctors about critical problems immediately.
• Games and Entertainment: EDGE COMPUTER USE Improves players experience, reducing latency in online games and improving the quality of video streaming.

Border computing benefits

• Lower latency: As processing happens near the origin device, the answers are faster.
• Network load reduction: Less data need to be sent to central servers, relieving network traffic and reducing broadband costs.
• Greater security: With less data traveling over the internet, there is less risk of exposure to cyber attacks.
• Enhanced reliability: Even in places with unstable connection, devices can continue to work without depending on the cloud.

Border computing is a growing trend, and AMD, with its new line of EPYC Embedded 9005 processors, is betting on this technology to boost the performance and efficiency of systems that need high processing power where data is generated.

Source: AMD

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