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Edge servers: BullSequana EXR

Break frontiers in IT infrastructure with powerful AI inference and streaming analytics capabilities at the edge

Modern applications require massive data processing and compute power. Remote data centres introduce latency, inefficiency, and security risks.  

BullSequana EXR servers bring real-time processing to the edge, delivering low latency, robust security, and high performance in harsh environments, ideal for immediate insights without compromising reliability or safety. 

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The BullSequana EXR is designed to meet all your requirements and ready for next-generation AI solutions.

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High density edge data centre server with powerful AI inference, training and streaming analytics capabilities 

  • Highest density for ai inference: 1U Rack (640mm depth)

  • Flexible disk options 

  • Powerful GPU options (L40S, A16, L4, A2)

  • Up to 10 high speed NVMe disks 

  • SATA disk options 

  • Raid options 

Ideal for: industrial edge data centres where extended temperature range is required, telco edge data centres.

Key features

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Powerful inference performance 

Unprecedented edge inference capacity with powerful AI accelerators to build and deploy high-performance, latency-sensitive applications like computer vision and LLMs. 

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Efficient carbon footprint 

Efficient carbon footprint with Titanium-grade power, energy-saving modes, and flexible configurations to reduce cooling and oversizing 

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Endless configuration options 

Multiple installation choices, and flexible components let you tailor compute, acceleration, and storage to any edge need. 

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Holistic security-by-design approach 

Combining full supply chain transparency, advanced hardware protection, and trusted execution technologies without compromising performance 

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Engineered for demanding environments 

Extended temperature range (0–45°C) and humidity tolerance (5–95%) ensure reliable operation under industrial shopfloor conditions.

Certifications & compatibilities

Data processing at the edge

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On-site video processing 

Processes visual data directly where it’s captured, reducing latency, cutting bandwidth costs, and enabling faster, autonomous decisions-ideal for inspection, monitoring, and safety 

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LLM inference at the edge 

Delivers fast, secure, and scalable inference for Large Language Models without relying on cloud connectivity, ensuring data privacy and responsiveness in customer service, automation, and field operations

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Edge data centre deployment

Operates reliably in extended temperature ranges, high humidity, and space-constrained environments, ensuring continuous performance for real-time analytics, industrial automation, 5G networks, retail operations, and remote or harsh-site deployments.

Technical specifications

Form factor

1U – Depth 593mm

Installation option 

Rack

CPU options 

Intel Xeon 5 with 8 / 12 / 16 / 24 / 28 cores 

GPU options

2x Nvidia A2, L4  or 1x Nvidia A16, L40, L40S 

Memory

Up to 8 slots of DDR5 memory 

Max Power 

1200W

Optional redundancy

Yes

Efficiency rating

Titanium 

Operating temperature 

0 to +45° C

Operating humidity 

5% to 95% 

Security certifications

IEC 62368
IEC 61010

Related resources

Technical specifications
Recommended products and solutions

FAQ

Edge computing involves processing data closer to where it’s generated, at the “edge” of the network, rather than relying on centralized data centers. This reduces latency, minimizes bandwidth usage, and ensures faster decision-making. For your business, edge computing enhances operational efficiency, supports real-time analytics, and improves data security, especially in remote or industrial environments where reliable connectivity may be limited. It’s ideal for applications requiring immediate insights, like IoT, AI, and real-time monitoring. 

Edge servers are particularly beneficial for industries that require real-time data processing, low-latency decision-making, and resilience in harsh environments. Key sectors include manufacturing, automotive, healthcare, telecommunications, energy, and defense. These industries leverage edge computing to enhance operational efficiency, improve automation, enable remote monitoring, and ensure data security, all while withstanding extreme conditions like temperature fluctuations, dust, and vibrations. 

OEM Escala and Bull R&D began collaborating with IBM research centers, notably in Austin, Texas, in 1992 to work on AIX, SMT technology, the kernel debugger (kdb), etc. 

Get in touch

Talk to our experts to explore edge server options that maximise efficiency, reduce latency, and meet your organisation’s specific IT and operational needs.