Accelerating Edge Innovation with Supermicro Edge AI Severs

Edge computing is transforming industries. It powers digital assistants, customer service chatbots, and analytics in enterprise settings. Retailers use it for smart checkouts, inventory tracking, and loss prevention. In healthcare, it supports imaging and real-time video processing. Manufacturing benefits from robotics, quality assurance, and predictive maintenance. Telecommunications rely on the edge for 5G RAN, private networks, and Multi-access Edge Computing (MEC ) infrastructure.
Edge-Ready AI Performance with Supermicro Edge AI Servers
Deploying AI at the edge presents challenges like limited space, heat, harsh environments, and cyber threats. Supermicro’s edge AI servers address these needs with rugged, compact designs, advanced thermal controls, and strengthened security. They provide enterprise-grade AI exactly where it is required most, even under extreme conditions.
Supermicro’s edge AI servers offer industry-leading performance, rugged reliability, and GPU-rich configurations across various environments.
With a broad product portfolio and customized technical support, Supermicro enables enterprises to deploy scalable, real-time AI solutions at the edge. As the complexity of AI increases, Supermicro stands at the forefront of edge innovation.
Edge AI Servers: Performance and Efficiency for Distributed AI Applications
AI Inferencing at the Edge
- As AI applications are integrated into business processes and our personal lives, edge inferencing is becoming critical for applications that demand real-time insights. Processing data locally—whether from sensors, cameras, or industrial equipment—dramatically reduces latency, lowers dependence on network bandwidth, and enhances data security.
- Supermicro Edge AI systems enable intelligent decision making where it’s needed most, unlocking faster responses and improving overall system efficiency. Selecting the right infrastructure solution for each deployment scenario is essential. Supermicro offers scalable, AI-optimized solutions to ensure maximum ROI from edge AI initiatives.
Versatile Edge Deployments
- Deployments at the edge often present unique challenges - from limited space and power availability to harsh environmental conditions. Supermicro’s Edge AI portfolio offers extensive configurability to meet diverse customer needs across industries.
- With support for a broad range of processors, accelerators, and form factors, our systems are purpose-built for edge environments. Compact, ruggedized, and thermally optimized, Supermicro Edge AI solutions can be tailored to fit even the most constrained installations—delivering enterprise-grade performance at the edge without compromise
Low Power, High Efficiency
- AI at the edge demands both performance and efficiency. Supermicro’s Edge AI systems are designed to provide optimal performance-per-watt, allowing careful alignment of CPU and GPU resources with the specific needs of the workload.
- Whether deploying lightweight inference models or running complex LLM pipelines, Supermicro systems balance compute power and energy usage to ensure total cost of ownership (TCO) stays within budget. This power-efficient architecture makes Supermicro ideal for remote and distributed environments, where energy constraints are common and reliability is essential.
AI Accelerator Compatibility
- Supermicro Edge AI systems support a broad spectrum of AI accelerators to meet the diverse demands of edge applications.
- From specialized platforms like NVIDIA® Jetson Orin™ NX and low power M.2 AI modules, to servers with high-performance GPUs including NVIDIA RTX™ Pro 6000 Blackwell edition and NVIDIA H200 NVL, Supermicro systems are designed to support the demands of any edge AI scenario.
The table below outlines recommended Supermicro systems for various deployment environments, helping decision-makers select the ideal edge platform for their specific use case.
Deployment Environment: Edge Data Center
High-performance edge AI servers for LLM inference, synthetic data generation, and big data analytics.
Ideal for dense compute with powerful CPU and GPU support.

SYS-322GA-NR
- Dual Intel® Xeon® 6900-series processors
- Up to 6TB DDR5 8800
- 10 PCIe x16 or 20 PCIe x8 slots
- Support up to 4 600W or 8 350W GPUs

SYS-212GB-NR
- Single Intel® Xeon® 6700/6500-series processor
- Up to 2TB DDR5 5200
- 7 PCIe x16 slots
- Support up to 2 600W or 4 350W GPUs

AS -2115HE-FTNR
- Single AMD EPYC™ 9004/9005-series processor
- Up to 9TB DDR5 4400
- 4 PCIe x16 or 8 PCIe x8 slots, 2 AIOMs
- Support up to 4 350W or 2 600W GPUs

SYS-222HE-TN
- Dual Intel® Xeon® 6700/6500-series processors
- Up to 8TB DDR5 5200
- 4 PCIe x16 or 8 PCIe x8 slots, 2 AIOMs
- Support up to 3 350W or 2 600W GPUs
Deployment Environment: Control Room / Edge Node
Short-depth 2U edge AI servers for on-site AI workloads such as video analytics, visualization, and industrial data processing.

SYS-212B-N2T
- Single Intel® Xeon® 6700/6500 series processors
- Up to 2TB DDR5 6400
- Max 4 PCIe 5.0 x16 (3 FHFL+1 HHHL)
- Support Up to 2 double-width or 3 single-width GPUs

SYS-212B-FN2T
- Single Intel® Xeon® 6700/6500-series processor
- Up to 1TB DDR5 6400
- Max 4 PCIe x16, 1 PCIe x8 slots
- Support up to 2 350W GPUs

SYS-212B-FLN2T
- Single Intel® Xeon® 6700/6500-series processor
- Up to 1TB DDR5 6400
- Max 4 PCIe x16, 3 PCIe x8 slots
- Support up to 1 600W or 7 L4 GPUs

SYS-212B-FN4TP
- Single Intel® Xeon® 6700/6500-series processor
- Up to 2TB DDR5 6400
- Max 3 PCIe x16, 2 PCIe x8 slots
- Support up to 3 L4 GPUs
Deployment Environment: Field Cabinet or Enclosure
Compact boxes and 1U front I/O edge AI servers for real-time signal processing, protocol conversion, and edge control near sensors and PLCs.

SYS-E403-14B-FRN2T
- Single Intel® Xeon® 6700/6500-series processor
- Up to 2TB DDR5 6400
- 3 PCIe x16 slots
- Support up to 1 350W or 3 L4 GPUs

SYS-112B-FWT
- Single Intel® Xeon® 6700/6500-series processor
- Up to 1TB DDR5 6400
- 3 PCIe x16 slots
- Support 1 L4 GPU cards

AS-1115S-FWTRT
- Single AMD EPYC™ 8004-series processor
- Up to 768GB DDR5 4800
- 3 PCIe x16 slots
- Support 1 L4 GPU cards
NVIDIA GPU Cards for Edge Computing

NVIDIA RTX PRO™ 6000 Blackwell Server Edition
- Blackwell
- 96 GB GDDR7 with ECC
- 24,064 CUDA Cores
- 752 Tensor Cores
- 188 RT Cores
- Power consumption 400W - 600W

NVIDIA RTX PRO™ 6000 Blackwell Max-Q Workstation Edition
- Blackwell
- 96 GB GDDR7 with ECC
- 24,064 CUDA Cores
- 752 Tensor Cores
- 188 RT Cores
- Power consumption 300W

NVIDIA RTX PRO™ 5000 Blackwell Server Edition
- Blackwell
- 48 GB GDDR7 with ECC
- 14,080 CUDA Cores
- 440 Tensor Cores
- 110 RT Cores
- Power consumption 300W

NVIDIA RTX PRO™ 4500 Blackwell Server Edition
- Blackwell
- 32 GB GDDR7 with ECC
- 10,496 CUDA Cores
- 328 Tensor Cores
- 82 RT Cores
- Power consumption 200W

NVIDIA RTX PRO™ 4000 Blackwell Server Edition
- Blackwell
- 24 GB GDDR7 with ECC
- 8,960 CUDA Cores
- 280 Tensor Cores
- 70 RT Cores
- Power consumption 140W

NVIDIA H200 NVL
- Hopper
- 141GB HBM3e
- 16,896 CUDA Cores
- 528 Tensor Cores
- 2/4-Way NVLink (900 GBps)
- Power consumption up to 600W

NVIDIA L40S
- Ada-Lovelace
- 48 GB GDDR6 with ECC
- 18,176 CUDA Cores
- 568 Tensor Cores
- 142 RT Cores
- Power consumption 350W

NVIDIA L4
- Ada-Lovelace
- 24 GB GDDR6 with ECC
- 7,680 CUDA Cores
- 240 Tensor Cores
- 60 RT Cores
- Power consumption 72W