Dell PowerEdge XE9785L Liquid Cooled AI Rack Server in Dubai, UAE
A purpose-built, accelerator-dense compute node for organisations planning advanced artificial intelligence, machine learning and high-performance computing environments. The platform combines dual AMD EPYC processing, eight high-power GPU accelerators, direct-to-chip liquid cooling, modern DDR5 memory and enterprise management in a 3OU Open Rack compute design.
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Quick Product Information
Dell Technologies
PowerEdge XE9785L
Liquid-cooled AI rack compute node
Dual AMD EPYC 9005 Series
8 × AMD Instinct MI355X or 8 × NVIDIA HGX B300
Direct-to-chip liquid cooling for CPUs and GPUs
3OU compute node for Dell IR7000 Open Rack
Confirm workload, rack, power, cooling and fabric requirements
Buyer Snapshot: Is This the Right Platform?
Large AI training, scaled inference, foundation-model development, accelerated analytics and HPC clusters.
Eight tightly integrated accelerators in a liquid-cooled, high-density architecture designed for serious data-centre deployments.
GPU ecosystem, rack compatibility, coolant loop, power shelf, high-speed network and software stack.
Enterprise AI factories, sovereign compute programmes, research labs, service providers and specialist HPC facilities.
This is not a conventional rack server that can be evaluated only by processor count and installed memory. A successful purchase requires coordinated planning across compute, accelerators, cooling, rack power, network fabric, storage throughput, operating system, orchestration and ongoing support. FourTeck.com can help structure that discussion so procurement teams receive a configuration aligned with the actual workload rather than a generic bill of materials.
Product Overview
The PowerEdge XE9785L belongs to a new generation of infrastructure designed around the extraordinary power and thermal demands of modern accelerator computing. Traditional air-cooled systems can remain suitable for many GPU workloads, but the highest-density AI platforms now require a more engineered approach. This model removes heat directly from key components through a liquid-cooling architecture, enabling a compact compute node to host eight high-wattage accelerators alongside two server-class AMD processors and substantial memory capacity.
Dell offers two accelerator paths for the platform. Organisations standardising on the AMD software ecosystem can select eight AMD Instinct MI355X 288 GB OAM accelerators connected through AMD Infinity Fabric. Projects based on NVIDIA technologies can use eight HGX B300 SXM7 GPUs linked by NVIDIA NVLink. The correct option depends on framework compatibility, model architecture, developer skills, existing clusters, workload benchmarks, licensing, support strategy and the wider data-centre roadmap. The model name alone therefore does not define the final system.
Dual 5th Generation AMD EPYC 9005 Series processors provide host compute, memory control and I/O resources. Dell specifies support for up to 192 cores per processor, twenty-four DDR5 RDIMM slots, memory speeds up to 6400 MT/s and a maximum system memory capacity of 6 TB. These resources support data preparation, orchestration, inference services, preprocessing, CPU-heavy simulation stages and the constant movement of information between storage, networking and accelerators.
The server is designed as a 3OU compute node for the Dell Integrated Rack 7000 architecture rather than a normal 19-inch rack appliance. That distinction matters. Buyers must assess the full Open Rack environment, including mechanical fit, rails, 33 kW power shelf, power feeds, coolant distribution, facility water conditions, leak monitoring, service clearances and operational procedures. The result can be a highly efficient, dense AI platform, but only when the supporting facility is prepared correctly.
For UAE organisations, FourTeck.com supports early-stage selection, quotation and deployment planning. We can help procurement, infrastructure and data-science teams define accelerator choice, CPU and memory requirements, network adapters, boot media, support coverage and delivery requirements. This collaborative process is particularly valuable for high-value AI systems where a missing rack, power or cooling dependency can delay commissioning even after the compute hardware arrives.
Key Business Benefits
◆ Accelerator Density
Eight enterprise AI accelerators in one compute node help organisations concentrate training and inference capacity while reducing the number of independent servers that must be cabled, managed and monitored.
◆ Thermal Control
Direct-to-chip liquid cooling removes heat close to the CPUs and GPUs. This supports high-power components in dense environments and can simplify the challenge of handling extreme thermal loads at rack level.
◆ Platform Choice
AMD Instinct and NVIDIA HGX options allow architects to align the server with software frameworks, model requirements, developer ecosystems and existing accelerator investments.
◆ Memory Headroom
Up to 6 TB of DDR5 memory gives data-intensive projects room for preprocessing, caching, simulation data, large host-memory datasets and multi-service consolidation.
◆ High-Bandwidth Expansion
Multiple PCIe Gen5 slots can support high-speed east-west and north-south networking, helping the node participate in scaled AI fabrics and data-intensive clusters.
◆ Enterprise Management
iDRAC10, Redfish APIs, RACADM and OpenManage tools help infrastructure teams standardise monitoring, configuration, automation and lifecycle operations.
The business value of the platform is strongest when it is treated as part of a complete AI system. Accelerator performance must be fed by fast storage, low-latency network fabrics, resilient power and a correctly engineered cooling loop. When those elements are aligned, the architecture can help reduce training windows, serve more inference requests, support larger models and improve the utilisation of expensive accelerator resources. It can also provide a more controlled path for organisations that need AI capacity inside their own facility for data sovereignty, regulatory, latency or intellectual-property reasons.
Product Highlights
- Dual AMD EPYC host architecture: two 5th Generation AMD EPYC 9005 Series processors, with supported choices reaching up to 192 cores per processor.
- Eight-accelerator design: choose AMD Instinct MI355X 288 GB OAM modules or NVIDIA HGX B300 SXM7 GPUs, according to the selected validated configuration.
- Large DDR5 capacity: twenty-four RDIMM slots, up to 6400 MT/s and a maximum of 6 TB support demanding host-memory workloads.
- Direct liquid cooling: CPUs and GPUs are cooled directly, supporting high component power in a compact Open Rack node.
- Dedicated boot subsystem: embedded BOSS hardware RAID 0/1 with two M.2 NVMe SSDs provides resilient boot-media options.
- Gen5 I/O flexibility: up to eight x16 slots for east-west traffic and up to four x16 slots for north-south traffic, subject to configuration.
- Modern security controls: signed firmware, Secure Boot, Silicon Root of Trust, TPM, Secure Erase, System Lockdown and AMD memory-encryption capabilities.
- Lifecycle tooling: iDRAC10 and Dell OpenManage integration support remote administration, automation and infrastructure observability.
Buyers should confirm the exact accelerator option, network topology, supported adapters, boot design, software stack and rack bill of materials before placing an order. Some capabilities vary by final validated configuration, and specialised components may carry different lead times. FourTeck.com can coordinate a requirement review before quotation so technical and commercial teams work from the same specification.
Technical Specifications
| Specification | Dell PowerEdge XE9785L |
|---|---|
| System type | 3OU direct-liquid-cooled compute node for Dell IR7000 Open Rack |
| Processors | Two 5th Generation AMD EPYC 9005 Series processors, up to 192 cores per processor |
| AMD accelerator option | 8 × AMD Instinct MI355X, 288 GB, 1400 W OAM, with AMD Infinity Fabric connectivity |
| NVIDIA accelerator option | 8 × NVIDIA HGX B300, 1200 W SXM7, interconnected through NVIDIA NVLink |
| Memory | 24 DDR5 RDIMM slots; up to 6400 MT/s; maximum 6 TB |
| Boot storage | Embedded BOSS, hardware RAID 0/1, 2 × M.2 NVMe SSDs |
| Network option | 1 × OCP NIC 3.0 card using x16 PCIe lanes |
| PCIe expansion | Up to 8 × x16 Gen5 slots for east-west traffic and up to 4 × x16 Gen5 slots for north-south traffic |
| Power shelf | 33 kW shelf comprising 6 × 5500 W AC power supplies |
| Cooling | Direct-to-chip liquid cooling for CPUs and GPUs |
| Management | iDRAC10, iDRAC Direct, Redfish API, RACADM, iDRAC Service Module and OpenManage Enterprise ecosystem |
| Supported operating systems | Canonical Ubuntu Server LTS, Red Hat Enterprise Linux and SUSE Linux Enterprise Server |
| Dimensions | 140.5 mm high × 537 mm wide × 1047.95 mm deep with fan; 889.65 mm deep without fan |
| Maximum listed weight | 95 kg |
| Rack support | Static rail for ORv3 rack |
| Warranty and support | Service level and duration depend on selected Dell support agreement and regional availability |
Selecting the right configuration starts with the application. Training large language models may prioritise accelerator memory, interconnect bandwidth, scale-out fabric and checkpoint storage. Inference projects may place greater emphasis on latency, model concurrency, power efficiency and service availability. HPC users may require a balanced blend of CPU cores, memory bandwidth, accelerator compute and specialised networking. Once the workload profile is clear, the architect can size host memory, boot redundancy, adapter count and rack capacity. Buyers should also decide whether the deployment will start as one node or grow into a multi-node cluster, because that affects network switches, cable routes, storage architecture, orchestration and power planning from day one.
Configuration and Buyer Guidance
1. Define the workload
Share model size, framework, dataset volume, training or inference objective, expected concurrency and performance target.
2. Choose the accelerator ecosystem
Confirm whether the environment is based on AMD ROCm, NVIDIA CUDA or another validated software path.
3. Plan rack power
Review utility feeds, busbar architecture, redundancy, breaker capacity, power shelf and monitoring requirements.
4. Engineer liquid cooling
Validate coolant distribution, facility-water specifications, heat rejection, leak detection and service processes.
5. Size the fabric
Determine east-west scale-out bandwidth, north-south data access, adapter type, switch ports, optics and cabling.
6. Confirm services
Choose deployment assistance, support duration, response level, firmware governance and spare strategy.
Before requesting a formal quote, provide FourTeck.com with the planned accelerator platform, number of nodes, desired deployment date, destination, preferred support period and any existing rack, cooling, storage or network standards. A simple topology diagram and power/cooling summary can prevent expensive misunderstandings. For a new facility, include the data-centre consultant or MEP team early. For an existing facility, confirm that the rack and cooling system can support the target heat load and that maintenance access is practical.
Ideal Business Use Cases
Foundation-Model Training
Research and enterprise teams can use the eight-accelerator architecture for training and fine-tuning large language, vision and multimodal models. Cluster design must account for checkpoint storage, fabric bandwidth and software compatibility.
High-Volume Inference
Service providers and digital platforms can consolidate demanding inference workloads where accelerator memory, throughput and low-latency communication are essential to serving many requests.
Scientific Computing
Universities, laboratories and engineering groups can apply the system to simulation, computational science, weather modelling, molecular research and other accelerated HPC workloads.
Sovereign AI Infrastructure
Government and regulated organisations may deploy dedicated compute to keep sensitive information, model weights and intellectual property under defined operational control.
Enterprise AI Factory
Large businesses can build a shared platform for data science, model development, fine-tuning, retrieval-augmented generation and internal inference services.
Cloud and Managed Compute
Hosting providers can integrate dense accelerator nodes into managed AI services, private cloud offerings or project-specific compute environments, subject to software and capacity planning.
A single node can deliver substantial compute, but many high-end use cases require several nodes operating as one system. In that scenario, buyers should evaluate scheduling, container orchestration, job isolation, telemetry, storage bandwidth, backup, cybersecurity and chargeback. They should also consider how users will access the platform, how models and datasets will be governed, and how utilisation will be measured. The server is a foundation for the service; operational design determines whether the investment remains productive.
Dell PowerEdge XE9785L Accelerator Performance
The defining capability of this platform is its eight-accelerator architecture. GPU-based AI workloads perform best when compute, memory and interconnect resources are considered together. An accelerator with strong arithmetic performance can still be underused if model parameters do not fit efficiently in memory, if data arrives too slowly, or if communication between accelerators becomes a bottleneck. The XE9785L addresses these concerns with integrated accelerator platforms designed for high-bandwidth communication.
The AMD configuration uses eight Instinct MI355X accelerators, each with 288 GB of accelerator memory, connected by AMD Infinity Fabric. This option suits organisations adopting AMD’s accelerator stack or seeking a platform aligned with their existing ROCm development and operations. The NVIDIA option uses eight HGX B300 SXM7 GPUs connected through NVLink, fitting environments built around CUDA, NVIDIA libraries and validated enterprise AI software. The software ecosystem should be treated as a first-order design decision, not an afterthought.
For training, buyers should estimate model parameter count, numerical precision, batch size, activation memory, optimiser state and checkpoint behaviour. For inference, they should consider model size, context length, concurrent requests, latency objectives and quantisation strategy. These details influence whether the workload stays within one node or needs distributed execution across a larger cluster. FourTeck.com can help convert the application profile into a practical infrastructure discussion, including accelerator choice, node count, fabric requirements and surrounding storage.
Dell PowerEdge XE9785L Liquid Cooling and Rack Design
Direct liquid cooling is central to the server’s design. Coolant removes heat from the processors and accelerators at the component level, reducing dependence on moving very large volumes of air through a compact chassis. This enables the high power density required by eight advanced accelerators, but it also shifts attention from the individual server to the complete rack and facility cooling system.
The compute node is built for the Dell IR7000 Open Rack environment and uses the ORv3 mechanical format. Buyers need to evaluate the power shelf, busbar, manifolds, coolant distribution unit, facility water temperatures, pressure, flow, water quality, redundancy, monitoring and maintenance procedures. The engineering team should also assess how heat is rejected from the building, what happens during pump or power failures, and how leaks are detected and isolated. These are infrastructure questions that normally involve IT, facilities, MEP consultants and the data-centre operator.
A liquid-cooled design can provide excellent density and may reduce the challenge of hot-aisle heat removal, but it is not a drop-in replacement for a normal rack server. Projects should include commissioning, flushing, validation, monitoring and documented operating procedures. Service access and spare parts must be planned around the rack layout. FourTeck.com can help buyers identify the information required for quotation and coordinate discussions around the compute node, rack integration and deployment scope.
Dell PowerEdge XE9785L Management, Security and Operations
High-value AI infrastructure requires the same operational discipline as any other mission-critical platform. Dell’s iDRAC10 provides embedded server management, while Redfish APIs, RACADM and OpenManage tools allow administrators to monitor systems, automate routine tasks and integrate lifecycle processes with broader data-centre operations. These capabilities can help teams standardise configuration, firmware updates, inventory, alerting and remote troubleshooting across multiple nodes.
The security architecture includes cryptographically signed firmware, Secure Boot, Silicon Root of Trust, System Lockdown, Secure Erase, TPM, chassis-intrusion detection and component verification. AMD Secure Memory Encryption and Secure Encrypted Virtualization add processor-platform protections that may be relevant for multi-tenant or sensitive environments. Security still depends on correct configuration: management interfaces should be isolated, credentials protected, firmware governed, logs centralised and network access restricted.
Operational planning should include who owns the platform, who approves updates, how changes are tested, how jobs are scheduled, and how faults are escalated. Teams should also establish a process for monitoring coolant, power, temperature, accelerator health, fabric errors and storage performance. A support agreement should reflect the business impact of downtime and the skills available on site. FourTeck.com can assist with warranty guidance and help buyers request an appropriate service level for the destination and deployment model.
What Buyers Should Check Before Purchase
A high-density AI server should never be ordered from a model number alone. Before requesting a quote, buyers should confirm the workload, accelerator ecosystem, node count, rack architecture, liquid-cooling design, power availability, network topology, storage path, software stack, support level and commissioning responsibilities. FourTeck.com can review these details so the selected solution matches the project rather than simply appearing powerful on paper.
Configuration Fit
Confirm CPU SKUs, memory capacity, accelerator platform, boot drives, adapters and supported operating system.
Compatibility Check
Validate frameworks, libraries, containers, orchestration, storage protocols, switch speeds, optics and cable types.
Facility Readiness
Assess Open Rack compatibility, floor loading, power feeds, busbar, coolant distribution, heat rejection and service clearance.
Support Expectations
Define response time, support duration, deployment assistance, firmware governance and regional service terms.
Buyers should also clarify long-term costs. These include facility power, cooling pumps, heat rejection, network optics, storage capacity, software subscriptions, technical support and specialist operations. If the project will expand, reserve rack, electrical, hydraulic and network capacity in advance. For replacement projects, compare the old and new software ecosystem carefully; changing accelerator platforms may require code validation, container updates and new operational skills. For bulk or phased supply, provide a delivery schedule and site-readiness milestones so hardware arrival aligns with commissioning.
UAE Availability and Service Support
FourTeck.com supports Dell PowerEdge XE9785L inquiries in Dubai and across the UAE with product-selection assistance, configuration review, quotation support, delivery coordination and warranty guidance. Availability can vary according to accelerator type, processor selection, memory quantity, rack requirements, supplier allocation and order volume. For this reason, the commercial offer should be based on a validated project bill of materials rather than a generic base-server description.
Our team can help bring together stakeholders from procurement, IT infrastructure, data science and facilities. This is useful when the purchase includes Open Rack infrastructure, a power shelf, coolant distribution, high-speed networking, storage and professional deployment services. Buyers can also request suitable alternatives if the desired accelerator option, lead time or rack design does not align with the project.
Dubai, Abu Dhabi, Sharjah and Ajman Coverage
Businesses in Dubai, Abu Dhabi, Sharjah, Ajman and other UAE locations can contact FourTeck.com for availability guidance and project quotation. We can help evaluate the destination, delivery restrictions, data-centre access, rack readiness and required documentation. For multi-site organisations, the discussion can include phased delivery, standardised configurations and replacement-model planning. Delivery and service arrangements remain subject to the final supplier, support agreement and project terms.
GCC and Africa Availability
FourTeck.com also supports business technology inquiries for selected projects across the GCC and Africa. Organisations in Saudi Arabia, Qatar, Oman, Kuwait, Bahrain, Kenya, Uganda and other regional markets can request product and configuration guidance. Availability, export documentation, delivery options, warranty handling and deployment scope vary by destination and supplier status.
Regional buyers should provide the delivery country, end-user type, required configuration, quantity, target date and local data-centre conditions. For country-specific inquiries, explore FourTeck Kuwait, FourTeck Kenya, FourTeck Uganda or the FourTeck Africa platform. Complex AI infrastructure may require extra coordination for shipping, installation, local power standards, cooling integration and service coverage.
Other Dell AI Server Options Buyers May Consider
The right alternative depends on accelerator preference, cooling strategy, rack format, workload scale and facility readiness. These related platforms can be useful comparison points during solution design.
Dell PowerEdge XE9785
Consider for AMD Instinct acceleration where an advanced air-cooled architecture is preferable to a liquid-cooled Open Rack deployment.
Dell PowerEdge XE9780L
A liquid-cooled AI platform based on Intel host processors and NVIDIA accelerators for organisations aligned with that architecture.
Dell PowerEdge XE9685L
A direct-liquid-cooled AMD-based rack server that may suit projects needing a conventional rack form factor and different accelerator choices.
Dell PowerEdge XE9680
A widely deployed eight-GPU air-cooled platform that can be relevant where liquid infrastructure is unavailable.
Why Buyers Choose FourTeck.com
Assistance for enterprise, government, research and service-provider procurement requirements.
Help translating workload, rack, power, cooling and network requirements into a quote request.
Alternative Dell platforms and supporting infrastructure can be considered where project constraints change.
Commercial and logistics guidance based on destination, supplier status and final project scope.
Support options can be reviewed according to workload criticality, site and required service level.
Support for phased deployments, multi-node requirements and broader infrastructure bills of materials.
FourTeck.com approaches advanced server procurement as a solution-planning exercise. We do not assume that the highest specification is automatically the best choice. Instead, the objective is to clarify what the system must achieve, identify dependencies and create a commercially useful request. This helps technical teams explain requirements to finance and procurement, while giving suppliers enough detail to propose a valid configuration. For assistance, use the FourTeck.com contact page.
Frequently Asked Questions
What is the Dell PowerEdge XE9785L used for?
It is designed for high-end AI training, large-scale inference, accelerated analytics and HPC. The system combines two AMD EPYC processors with eight powerful GPU accelerators in a direct-liquid-cooled Open Rack node. It is most appropriate for data centres with the power, cooling, networking and operational capability to support dense accelerator infrastructure.
Which accelerators can be configured?
Dell lists configurations with eight AMD Instinct MI355X 288 GB OAM accelerators connected through AMD Infinity Fabric, or eight NVIDIA HGX B300 SXM7 GPUs connected through NVLink. The correct option depends on the required software ecosystem, application validation, model architecture, existing cluster standards and project availability.
Can it fit in a normal 19-inch rack?
The XE9785L is specified as a 3OU compute node for the Dell IR7000 Open Rack architecture. Buyers should not assume compatibility with a standard enterprise rack. The complete rack design, rails, busbar, power shelf, manifolds, coolant distribution and service clearances must be validated before purchase.
Does it require liquid-cooling infrastructure?
Yes. The CPUs and GPUs use direct-to-chip liquid cooling. The site must provide a properly engineered coolant path and heat-rejection system. Requirements may include a coolant distribution unit, manifolds, facility-water integration, monitoring, leak detection and commissioning. Engage facilities or a data-centre consultant early in the project.
How much system memory is supported?
Dell specifies twenty-four DDR5 RDIMM slots, memory speeds up to 6400 MT/s and a maximum capacity of 6 TB. The appropriate amount depends on data preprocessing, host-memory datasets, CPU workloads, caching and the number of services sharing the node. Final supported combinations should be confirmed in the quoted configuration.
Is the server available in Dubai?
FourTeck.com supports product inquiries in Dubai and across the UAE. Availability and delivery timing vary with accelerator platform, processor selection, memory, rack components, support level, supplier allocation and quantity. Request a current project quote rather than relying on a generic online availability indication.
Can FourTeck.com help with configuration?
Yes. Share the workload, software framework, desired accelerator, node count, rack environment, network topology, storage design, destination and support preference. FourTeck.com can help organise these details for quotation and identify related items that may be required for a complete deployment.
What information is needed for a quote?
Provide accelerator preference, CPU and memory target, number of nodes, operating system, network speed, storage connection, support period, delivery country and required schedule. Also state whether Dell IR7000 rack, power shelf, liquid-cooling equipment, switches, optics, cables or deployment services are needed.
Can businesses request multi-node or project supply?
Yes. Multi-node, phased and project-based requirements can be discussed. Cluster projects should include fabric switching, storage, rack capacity, power, cooling, software orchestration, delivery sequencing and commissioning. A shared design document helps align procurement, facilities, infrastructure and data-science teams before orders are placed.
What warranty options are available?
Warranty and service coverage depend on the selected Dell support agreement, destination and current regional terms. Buyers should choose a response level that reflects the operational importance of the AI platform and the expertise available on site. FourTeck.com can include warranty guidance during quotation.
Need Help Planning Your AI Server Deployment?
FourTeck.com can help review accelerator choice, memory, networking, rack power, liquid cooling, support coverage and delivery requirements for your organisation.
