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Dell PowerEdge T360 Tower Server

Processing performance, GPU support

The 4.5U, single-socket PowerEdge T360 is a specially designed form factor for customers desiring versatility, affordability, and processing power.

The PowerEdge T360 is an impressive upgrade from the prior-generation, especially considering the performance gains with the latest Intel Xeon E-series CPUs and added GPU support. These highly cost-effective servers empower businesses to accelerate their traditional use cases while exploring the realm of emerging AI workloads.
Feature Specification
Processor One Intel Xeon E-2400 series processor with up to eight cores or one Intel Pentium G7400/ G7400T processor with up to two cores
Memory 4 DDR5 DIMM slots, supports UDIMM up to 32 GB per DIMM, speeds up to 4400 MT/s. Supports unregistered ECC DDR5 DIMMs only
Storage controllers Internal: HBA355i Adapter, PERC H355 Adapter, PERC H755 Adapter Internal Boot: Boot Optimized Storage Subsystem (BOSS-N1): HWRAID 2 x M.2 NVMe SSDs drives, or USB External HBA (non-RAID): HBA355e Adpt Software RAID: S160
Drive Bays Front bays Up to 4 x 3.5-inch SATA HDD/SSD, max 64 TB Up to 8 x 3.5-inch SAS/SATA HDD/SSD, max 128 TB Up to 8 x 2.5-inch SAS/SATA HDD/SSD with 3.5-inch to 2.5-inch adapter, max 61.44 TB
Power Supplies 450 W Platinum 100-240 V AC, cabled 600 W Platinum 100-240 V AC or 600 W 240 V DC, hot swap redundant 700 W Titanium 200-240 V AC or 700 W 240 V DC, hot swap redundant
Cooling Options Air cooling
Fans One Standard (STD) fan and one optional High performance (HPR) fan Up to two cabled fans
Dimensions Height - 382.5 mm (15.06 inches) Width - 175 mm (6.89 inches) Depth - 579.72 mm (22.82 inches) with bezel
Form Factor 4.5U tower server
Embedded Management iDRAC9 iDRAC Direct iDRAC RESTful API with Redfish iDRAC Service Manual
Bezel Security bezel
OpenManage Software OpenManage Enterprise OpenManage Power Manager plugin OpenManage Service plugin OpenManage Update Manager plugin CloudIQ for PowerEdge plugin OpenManage Enterprise Integration for VMware vCenter OpenManage Integration for Microsoft System Center OpenManage Integration with Windows Admin Center
Mobility OpenManage Mobile
OpenManage Integrations BMC Truesight Microsoft System Center OpenManage Integration with ServiceNow Red Hat Ansible Modules Terraform Providers VMware vCenter and vRealize Operations Manager
Security Cryptographically signed firmware Data at Rest Encryption (SEDs with local or external key mgmt) Secure Boot Secured Component Verification (Hardware integrity check) Secure Erase Secured-core server Silicon Root of Trust System Lockdown (requires iDRAC9 Enterprise or Datacenter) TPM 2.0 FIPS, CC-TCG certified, TPM 2.0 China NationZ
Embedded NIC 2 x 1 GbE LOM
GPU Options 1 x 60 W SW GPU
Ports Front Ports 1 x iDRAC Direct (Micro-AB USB) port 1 x USB 3.2 Gen1
Ports Rear Ports 3 x USB 2.0 3 x USB 3.2 Gen1 1 x Dedicated iDRAC Ethernet port 1 x Serial 1 x VGA 2 x Ethernet ports
Ports Internal Ports 1 x USB 3.2 Gen1
PCIe Up to four PCIe slots Slot 1: x8 Gen4 Full height, half length Slot 2: x16 Gen5 Full height, half length Slot 3: x1 Gen4 Full height, half length Slot 4: x8 Gen4 Full height, half length
Operating System and Hypervisors Canonical Ubuntu Server LTS Microsoft Windows Server with Hyper-V Red Hat Enterprise Linux SUSE Linux Enterprise Server VMware ESXi
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Ideal Use Cases

These servers can process vast amounts of meteorological data in real-time to predict weather patterns, climate changes, and extreme weather events with higher accuracy.

AI servers facilitate the processing and analysis of genomic sequences, enabling rapid gene mapping, variant calling, and genetic disorder research. This is crucial for personalized medicine and understanding genetic predispositions to diseases.

They are capable of handling high-resolution, high-volume image data for applications like satellite imagery analysis, medical imaging (MRI, CT scans), and facial recognition systems, improving accuracy and processing speed.

AI servers can be the backbone of private or hybrid cloud infrastructures, offering scalable computing resources for AI workloads, data analytics, and machine learning models while ensuring data privacy and security.

These servers are ideal for deploying and scaling containerized applications, including self-contained deployable/scalable scientific workloads. They provide the necessary infrastructure to manage container orchestration efficiently, enabling seamless scalability and flexibility in resource allocation.

AI servers are used in processing and analyzing audio streams in real-time for applications such as voice assistants, real-time translation, speech recognition, and noise cancellation, ensuring low latency and high accuracy.

They can process vast datasets to predict market trends, perform risk analysis, and automate trading strategies, helping financial institutions make informed decisions quickly.

AI servers are utilized in the development and testing of autonomous vehicles, processing data from sensors and simulations to improve algorithms for navigation, obstacle detection, and decision-making.

They accelerate the drug discovery process by analyzing chemical compounds, predicting molecular interactions, and simulating drug effects, significantly reducing the time and cost of bringing new drugs to market.

Ideal for training complex deep learning models and neural networks, AI servers provide the computational power and memory capacity necessary for handling large datasets and performing extensive computations.

These servers are used in analyzing video content in real-time for security surveillance, crowd management, and content analysis, enabling rapid identification of events, behaviors, and patterns.

Relevant Industries

AI servers in healthcare enable advanced patient diagnostics, personalized medicine, genomic sequencing analysis, and drug discovery, processing large volumes of medical data for insights into patient care and treatment outcomes.

In the financial sector, AI servers are used for fraud detection, risk management, algorithmic trading, and customer service automation, analyzing patterns in large datasets to identify anomalies and assess risk.

Autonomous vehicle development relies on AI servers for processing data from sensors and simulations, improving algorithms for navigation, obstacle detection, and decision-making.

AI servers facilitate predictive maintenance, quality control, supply chain optimization, and automation of manufacturing processes, analyzing sensor data and operational parameters to predict equipment failures.

In this sector, AI servers are utilized for predictive maintenance of infrastructure, energy demand forecasting, and optimization of energy distribution, analyzing consumption data and operational conditions.

AI servers power recommendation engines, customer behavior analysis, inventory management, and personalized marketing, processing customer data to provide personalized shopping experiences.

AI servers in telecommunications are used for network optimization, predictive maintenance, fraud detection, and customer service automation, analyzing network traffic and operational data.

Try before you Buy

We understand that investing in the right server solution is a crucial decision for your business. That's why we offer an exclusive "Test Drive" program, giving you the opportunity to experience our state-of-the-art server hardware and software solutions in your own environment before making a purchase.

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Make your server uniquely yours. We offer personalization options including custom stickers, colored brackets, and BIOS logo customization. Enhance the aesthetic of your server to match your style and branding.

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