# Accelerate LLMs at the Edge

Maximize Savings in TCO, Time, Space, Risk

# LLM

![The image displays the logo for the brand 'AXE' in bold, white, stylized capital letters against a dark background. The letters are thick and geometric. A small, solid red square is positioned near the top left portion of the letter 'A.'](.adlink-axe-series-brochure-20250918/7957d82a5d79ad969d130a8a1761a97bb7598b7014531bc17a721681b059c874.jpg)

![Exterior view of multiple server racks with network ports and connectors, set against a circuit board background (no visible text or labels)](.adlink-axe-series-brochure-20250918/cd2e79357e66f1c0e1f99ee85d7ec77740792c648fb66c56876d9c12f077b7c5.jpg)

# Full Edge Data Processing, Zero Cloud Dependency

As enterprise AI moves from centralized cloud to on-premises edge computing, the demand for powerful, flexible, and secure GPU servers grows. ADLINK AXE Series fulfills this need by enabling full AI processing at the edge, delivering real-time insights with maximum privacy—without cloud dependency.

Most AXE Series servers are NVIDIACertified, guaranteeing reliable, compatible, and optimized performance for AI workloads, having passed rigorous testing for seamless operation, fast deployment, and stability.

AXE Series also accelerates edge deployment of LLMs—such as DeepSeek and Llama—for low-latency, secure AI services. Additionally, it significantly reduces total cost of ownership (TCO), development time, space, and data leak risks, empowering efficient AI applications in medtech, smart manufacturing, and on-premises agentic AI.

![The image features a large white circle centered on a blue background. Inside the circle is a black dollar sign (\$) surrounded by a black circular arrow that curves clockwise around the symbol and ends with an arrowhead pointing downwards on the right side.](.adlink-axe-series-brochure-20250918/e23e6b58f071a4b2b854f246353a0757916705523f97e4e465f8dec795786807.jpg)

# Flexible Expansion

Supports up to 4 full-length,dual-slot PCIe x16 GPUs — scale without chassis swaps, reducing upgrade costs

![A white circle sits against a dark blue background. Inside the circle is a black outline resembling a clock face. An 'L' shape represents the clock hands. To the right of the hands, dashed lines and arrows curve in a clockwise direction, indicating a cycle or refresh action.](.adlink-axe-series-brochure-20250918/7f5c7d90c85c0ca95a1e8ff8cda004422fc406015526e7a0c33ec86bb7a62ac4.jpg)

# Superior Performance

High tokens/s, low latency on mainstream LLMs, shortening tuning and rollouts time

![The image displays a white circular icon set against a blue background. Inside the white circle is a black line drawing of a horizontal rectangle. Four black arrows point inward toward the rectangle's sides: one from the top pointing down, one from the bottom pointing up, one from the left pointing right, and one from the right pointing left.](.adlink-axe-series-brochure-20250918/ffef13aa819c570f31d04b82bbdf70d738f2c9573ffd9c3c586a1e725f09f527.jpg)

# Short Chassis

Short-depth chassis design saves up to 50% of space, comparing to conventional servers

![The image displays a white circular icon set against a dark blue background. Inside the white circle is a black outline illustration of a database, depicted as stacked horizontal cylinders, with a shield overlapping the bottom right corner. A checkmark is visible inside the shield.](.adlink-axe-series-brochure-20250918/fe3daaaca53e03d2fa66ce2d4b03b16cce6c43db07abfae6e1e8d7ccad8a1fdb.jpg)

# 100% On-Prem

Keeps data on-site—no cloud dependency, minimizing risk of leaks

# Applications

MedTech
![Medical professional operating a surgical robot in an operating room with CT scans and medical imaging screens (no visible text or symbols)](.adlink-axe-series-brochure-20250918/2fd2e4555bfd73ec376b70f6060c6ce419059cf4f50e8e43afd34f4529135607.jpg)

Protects patient data on-site for HIPAA compliance
Enables real-time AI diagnostics without cloud delays

Smart Manufacturing
![Close-up of a semiconductor wafer in a cleanroom lab with a technician in the background (no visible text or symbols)](.adlink-axe-series-brochure-20250918/f4cb47fef3048b32c34b310573be80909b758259d9c62da2b7878e352a222608.jpg)

Cuts downtime and IT costs with on-site AI
Delivers fast, precise defect detection for higher yield

On-Premises Agentic AI
![ON-PREM AGENTIC AI Planning Scheduling Risk Analysis Reporting AI SUGGESTIONS • Optimize timeline • Flag critical risks AI AI SUGGESTIONS](.adlink-axe-series-brochure-20250918/8f8117cb3698b8a8bbcf7051385f8a790a622808aa9e5ee54f02ed9037ddf4f8.jpg)

Enables instant updates of on-prem models (e.g., DeepSeek, Llama) for agile workflows
Keeps proprietary data secure, avoiding cloud exposure

![Industrial robotic arm operating on a factory production line with a red circular component (no visible text or symbols)](.adlink-axe-series-brochure-20250918/eb7324b18e4495007090128e9ddfc800603d9a8bb3a4c982d5eee03e97d90a0a.jpg)

![The image displays a white icon set against a blue gradient background. The icon depicts a mechanical assembly featuring a central hub connected by thick white arms to three components: a hexagon positioned at the top right, and two gears located at the bottom left and bottom right.](.adlink-axe-series-brochure-20250918/9a104af340591701cfef43a356254c2b235ae20fd33cfdef89bbba7feeab4667.jpg)

# Micro LED AI AOI

# Challenges

Micro LED sizes are typically <100μm, with mainstream dimensions ranging between 30μm and 85μm, and the potential to shrink below 10μm. For an 8K display (7680x4320x3 RGB), around 100 million LEDs are needed, making precision and efficiency in mass transfer a major challenge.

If the mass transfer yield rate of Micro LED is 99.5%, the number of defective wafers on an 8K display will be as high as 497,664. Inspecting such a large number of wafers in a short period of time is a difficult task.

# Solution

ADLINK data forwarding technology integrates the ADLINK AXE server, frame grabber card, and GPU cards to provide a high-speed AI AOI solution, solving the bottleck in image processing speed.

This solution is flexible, with the AXE server supporting up to 3x PCIe x16 FHFL double-deck GPU cards and 2x PCIe x8 frame grabber cards. Depending on the project scales, it can extend the GPU processing capability by adding compactly designed AXE servers.

# High Speed AI AOI

AI AOI enhances traditional AOI by using machine learning and deep learning algorithms to improve the accuracy, speed, and adaptability of defect detection processes in manufacturing, particularly in semiconductors. It reduces false positives and negatives, increases inspection speed, and enhances overall production efficiency. Take Micro LED as an example: as the size gets smaller and the quantity increases, the inspection process becomes more complicated and is time consuming.

Diagram
![This diagram illustrates a data processing setup divided into two mirrored sections connected by a link.  **Left Section:** *   On the far left, there is an icon labeled **'25M 120FPS Camera'**. *   Lines connect the camera to a pair of cards labeled **'Frame Grabber Cards'**. *   Below the frame grabbers are three cards labeled **'GPU Cards'**. *   Above the frame grabbers is a server rack with a blue arrow pointing down towards the first frame grabber card.  **Right Section:** *   This section mirrors the left setup. It features a server rack at the top with a blue arrow pointing down to a pair of cards labeled **'Frame Grabber Cards'**. *   Below these are three cards labeled **'GPU Cards'**.  **Connections:** *   A dashed line labeled **'Data Forwarding'** connects the rightmost **'Frame Grabber Cards'** of the left section to the leftmost **'Frame Grabber Cards'** of the right section.](.adlink-axe-series-brochure-20250918/921318309cf3a3d8860648d09262b5c87c22b7f0fb714b1db52aa4d9d021093a.jpg)

![CHAT AI](.adlink-axe-series-brochure-20250918/a165e56cef3e6e0f4f2c60812e26a91a4b0e85b58e4adada4ccb3a25ce606670.jpg)

![The image displays white graphical icons against a dark blue gradient background. On the left, there is a schematic diagram resembling a flowchart or network connection, featuring a central node with lines branching out to a hexagon shape at the top and another circular node at the bottom. To the right of the diagram are two interlocking gears. There is no text present in the image.](.adlink-axe-series-brochure-20250918/c34e66a9dc6411431a68e2c276c384ea16d78034c3aa953eff5b0aed1b06d873.jpg)

# Factory AI Knowledge Base

# Challenges

In manufacturing project management, all sensitive cost and product data must stay inside the plant. Yet supplier capability surveys remain highly manual: managers sift through multiple document versions, compare revisions, and contact different departments for confirmation. This makes the process slow, error-prone, and fragmented. Meanwhile, legacy racks and tangled cabling undermine system stability, adding risk to already complex workflows.

# Solution

We deploy short-depth edge servers to boost flexibility and airflow, reducing instability from cluttered cabling. Running 100% on-prem preserves network segmentation and ensures audit compliance. Benchmarks on mainstream LLMs show excellent performance—high tokens per second and low latency—so sales and product teams receive a reliable SLA that supports fast, stable operations.

# On-Premise AI Solution

On-premise AI applications run AI models locally, ensuring high data privacy, security, and low latency. They allow enterprises to protect sensitive data while benefiting from fast AI inference, suitable for real-time image processing and natural language tasks.

Diagram
![The image displays a system architecture diagram divided into three horizontal sections:  **1. AI Chatbot App** *   **Blocks:** 'AI Chatbot App' (header) and 'Web Interface'. *   **Connections:**     *   An arrow labeled 'User Query' flows from 'Web Interface' down to the middle section.     *   An arrow labeled 'AI Response' flows from the middle section back up to 'Web Interface'.  **2. On-Premise AI Hardware** *   **Blocks:** 'On-Premise AI Hardware' (header), 'GPU Cards', and four GPU icons. *   **Processing Flow (Light Blue Box):**     *   A linear sequence connects: 'Embeddings model' → 'Vector DB' → 'Relevant docs' → 'Al model'.     *   Below the 'Embeddings model' and 'Vector DB', there are four document icons. Arrows point down from the model/DB to these documents, and an arrow points up from the documents to the 'Vector DB'.     *   The label 'On-Premise RAG' is positioned next to these four document icons.  **3. Data** *   **Blocks:** 'Data' (header), 'KMS' (labeled 'Internal Knowledge Base'), and a group of three server racks. *   **Connections:**     *   Bidirectional arrows connect the four document icons from the 'On-Premise RAG' section to the 'KMS' block (arrows pointing down and up).](.adlink-axe-series-brochure-20250918/715f0ce393c437683374d0afb9b9e1483e7d7cae4ce1225dea0cabbe408b1c48.jpg)

![Medical professional attending to an elderly patient on a CT scanner in a clinical setting (no visible text or symbols)](.adlink-axe-series-brochure-20250918/c74edab6e876a2be0c76434b9a16ab59d36b7edee2581e4298e66c5e1f72afab.jpg)

![The image features a white line-art icon of a microscope centered on a solid blue background. The illustration is stylized and simplified, depicting the angled eyepiece, body tube, stage, and base of the instrument.](.adlink-axe-series-brochure-20250918/0a13cdc09d1ca5582ff93bd367106381eec944adac353aa2c54e0a5ef481914c.jpg)

# CT / MRI

# Challenges

In MedTech, a key challenge is the need for compact edge AI servers that can be deployed in constrained clinical environments.

Since applications often involve surgery or diagnostics, image recognition must be both highly accurate and real-time to support critical decisions.

Modalities such as CT and MRI particularly demand precise, timely image processing to ensure clinical reliability and patient safety.

# Solution

The ADLINK AXE server, with up to 4 GPUs, provides an efficient solution by enabling rapid processing of complex medical images. It handles large datasets effectively, supports the alignment of multiple scans for 3D reconstruction, and enhances model interpretability, addressing key computational challenges in medical image analysis and reconstruction. The compact design can also be embedded into healthcare equipment.

# Medical Image Processing, Reconstruction & Analysis

Medical image processing, reconstruction and analysis play a vital role in healthcare by enhancing diagnosis and treatment through advanced imaging techniques. Image processing improves image quality, while reconstruction transforms 2D images into 3D views, enabling clearer anatomical visualization. Analysis algorithms detect and measure features like tumor size, supporting clinical decisions in systems such as CT, MRI, and C-ARM, ultimately improving accuracy and delivering personalized patient care.

Diagram
![The image is an isometric diagram illustrating a system architecture with three distinct sections labeled at the bottom.  On the left, a black server rack is depicted at the top, with a blue arrow pointing downward to four graphics cards arranged in a grid, labeled **'GPU Cards'**.  In the center stands a tall, light blue cabinet labeled **'Server Room'**. It features a vertical digital interface on its front panel displaying colorful blocks and icons.  On the right is a medical setting labeled **'Surgery Room'**. It shows a large teal medical imaging scanner (resembling an MRI or CT machine) with a patient lying on the bed. A medical professional stands near the scanner, while another person sits at a desk in the foreground working on a computer that displays a medical scan.  Connectivity is shown through arrows: a dashed arrow points from the server rack toward the Server Room cabinet, and a blue arrow points from the Surgery Room toward the Server Room.](.adlink-axe-series-brochure-20250918/fdea1f623ee09e7c1246d8d0727bd72c1648e2afd336dd72b884edd512fe9916.jpg)

# LAI GPU Servers INK AI GPU Ser

![The image displays a silver and black rack-mounted server chassis viewed from a slightly high, three-quarter angle. The unit features a dark front panel containing a grid of drive bays arranged in multiple rows, each equipped with small blue latches. A black handle is visible on the far left side of the chassis, while the right side shows ventilation slots. Small white labels are attached to the top of the drive bays, but the text is illegible.](.adlink-axe-series-brochure-20250918/ccddfb781f09565a7e2e22287d57a1e22fd282ede64e17b1a1ced2b8c5899daa.jpg)
AXE-7400SR

![The image displays a front view of a silver, rack-mounted server chassis. Across the front face, there are four identical vertical bays. Each bay features a dark grey faceplate with a small silver handle at the top. Inside the bays, light blue internal components, resembling fans or drive caddies, are visible. A thin black vertical line runs along the left edge of the device against a plain white background.](.adlink-axe-series-brochure-20250918/ea4912ed3d06b08d7c19fca8107d8847d733575d643999d88f25ec450d3c73da.jpg)
AXE-7220SR

![A silver, rectangular computer hard drive featuring the text 'Seagate ST9500420SS 500GB 7200RPM SATA II' on its front face, with a small label reading 'FDD' on the far left edge.](.adlink-axe-series-brochure-20250918/3dd85f4373ab37a1584765cd8f7b259e586be1a1bbbfe6f60edccdc9334cc33f.jpg)
AXE-7120SR

![The image displays a silver server chassis, specifically a Dell PowerEdge server, viewed from a front-left angle. The front panel is populated with multiple drive bays. On the far right side of the chassis face, the text 'DELL' is visible above the text 'POWEREDGE'. A handle is attached to the left side of the unit. The server rests on a plain white surface.](.adlink-axe-series-brochure-20250918/9327eea181880ef33c2914dd584d59c0bd72058341b7375ecf8e548b5119e088.jpg)
AXE-6120IL

![The image displays a silver Dell PowerEdge T160 server viewed from the front-left angle. The front panel features a black rack handle on the far left, followed by a cluster of I/O ports including USB and serial connections. Next to the ports are eight drive bays. To the right of the drives is a power button and a status indicator light. A white label on the far right side of the front panel contains barcodes and the text 'Dell' and 'PowerEdge T160'. The 'Dell' logo is also visible in the bottom right corner of the chassis.](.adlink-axe-series-brochure-20250918/25620a23b8ee800d75f2505425fb7c4543596d50f9f021e86b1e4939fcd89275.jpg)

AXE-5100R7

&lt;table&gt;<tr><td>U/Depth (mm)</td><td>4U / 650</td><td>2U / 450</td><td>1U / 420</td><td>1U / 420</td><td>1U / 440</td></tr><tr><td>CPU Type</td><td>4th/5th Gen Intel® Xeon® Scalable</td><td>4th/5th Gen Intel® Xeon® Scalable</td><td>4th Gen Intel® Xeon® Scalable</td><td>Intel® Xeon® D-1700 Series Processors</td><td>AMD Ryzen 7000 Processors</td></tr><tr><td>Max GPU Support</td><td>4× double-deck GPUs</td><td>2× FHFLDW Gen4 GPUs</td><td>2× FHFL GPUs Gen4 ×16</td><td>1× FHFL GPU Gen3 ×16</td><td>1× FH, 3/4LSW GPU Gen5 ×8</td></tr><tr><td>Max Memory</td><td>2TB DDR5</td><td>768GB DDR5</td><td>384GB DDR5</td><td>192GB DDR4</td><td>128GB DDR5</td></tr><tr><td>Storage</td><td>6x 2.5&quot;/3.5&quot; SATA HDD1x M.2 NVMe SSD</td><td>4x 2.5&quot; SATA SSD2x M.2 SATA/NVMe SSD</td><td>2× M.2 SATA/NVMe SSD</td><td>2x 2.5&quot; SATA SSD2x M.2 NVMe</td><td>2x 2.5&quot; SATA SSD2x M.2 NVMe/SATA</td></tr><tr><td>Networking</td><td>2× 10G, 2× GbE, 1× IPMI</td><td>2× 25G SFP28, 2× GbE</td><td>2× 25G SFP28, 2× GbE</td><td>8× 10G SFP+, 2× GbE</td><td>8× GbE, 1× GbE (IPMI)</td></tr><tr><td>Redundant Power</td><td>Yes (2× 1600–2000W, 1+1)</td><td>Yes (2× 800–1600W, 1+1)</td><td>Yes (2× 550W, 1+1)</td><td>Yes (2× 450W, 1+1)</td><td>Yes (2× 300W, 1+1)</td></tr><tr><td>Target Use Case</td><td>• MedTech:CT/MRI• Manufacturing:Micro LED</td><td>• MedTech:Ophthalmology instant image diagnose• Manufacturing:SMT for PCB components</td><td>• MedTech:Bone X-rays for orthopedics• Manufacturing:Real-time detection of scratches</td><td>• MedTech:Batch scanning of slides and detection of cancer cells• Manufacturing:Individual inspection stations for contamination</td><td>• MedTech:Portable diagnostic devices• Manufacturing:PCB connectors or small electronic parts detection</td></tr></table>
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