Dell PowerEdge XE9780 AI Rack Server in Dubai, UAE
Build an enterprise platform for generative AI, large-model training, fine-tuning and accelerated inference with a dense eight-GPU architecture designed to fit established air-cooled data centres. FourTeck.com helps buyers evaluate the server together with networking, power, rack, cooling, storage, operating-system and deployment requirements before quotation.
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Quick Product Information
Dell Technologies
PowerEdge XE9780
10U air-cooled AI rack server
8 × NVIDIA HGX B300 or B200
AI training, fine-tuning, inference and HPC
Built to selected project requirements
Ubuntu Server LTS and Red Hat Enterprise Linux
Submit workload and facility details for review
Buyer Snapshot: Is This Platform a Good Fit?
The XE9780 is intended for buyers who need a serious data-centre AI platform rather than a conventional application server. It is most relevant when eight tightly interconnected data-centre GPUs, substantial host memory, high-speed east-west networking and enterprise management are central to the project. A purchase decision should be based on the target models, dataset scale, concurrency, training schedule, inference service levels and facility readiness.
Enterprise AI teams, research labs, service providers and national-scale projects.
Dense eight-GPU compute in an air-cooled architecture for suitable facilities.
GPU generation, power feeds, rack depth, cooling headroom and network fabric.
Configuration review, procurement coordination and related infrastructure guidance.
Product Overview
Modern AI projects can outgrow general-purpose servers quickly. Model size, training data, context length, concurrent inference requests and experimentation speed all place pressure on compute, memory bandwidth, storage throughput and interconnect performance. The Dell PowerEdge XE9780 addresses this class of requirement with a purpose-built 10U rack design that brings eight NVIDIA HGX accelerators, dual Intel Xeon 6 processors, DDR5 memory, direct NVMe storage and enterprise systems management into one integrated platform.
The server can be selected with eight NVIDIA HGX B300 NVL8 270GB SXM6 GPUs or eight NVIDIA HGX B200 180GB SXM6 GPUs. The accelerators are interconnected through NVIDIA NVLink, which is important for distributed computation inside a node. This architecture is particularly relevant to large-language-model training, retrieval-augmented generation, multimodal processing, model adaptation, scientific simulation, advanced analytics and high-throughput inference. A no-GPU configuration is also listed by Dell, although most buyers considering this model will evaluate it as a complete accelerated system.
Unlike direct-liquid-cooled variants, this platform uses air cooling. That can simplify adoption for organisations whose data centres are designed around conventional cooling, but it does not remove the need for detailed facility planning. A fully populated high-power AI system demands careful review of rack loading, aisle airflow, inlet temperature, power distribution, cable routing and service clearance. Its depth exceeds one metre and its maximum listed weight reaches 156 kg, so mechanical handling and rack suitability must be confirmed before delivery.
For UAE organisations, the buying process should connect the hardware specification to the intended business outcome. FourTeck.com can help translate workload information into a quotation brief covering accelerator choice, CPU tier, memory population, NVMe layout, boot resilience, network adapters, support options and deployment dependencies. This avoids treating a sophisticated AI platform as a simple part-number purchase and gives technical, procurement and finance stakeholders a clearer basis for approval.
Key Business Benefits
◆ Dense Accelerated Compute
Eight HGX GPUs provide a concentrated platform for workloads that would otherwise require several smaller GPU servers. Consolidation can simplify job scheduling, reduce inter-node communication for suitable tasks and give AI teams a consistent environment for model development and production services.
◆ Faster Model Iteration
High-capacity accelerators, NVLink communication and fast host memory help technical teams process larger experiments and shorten the cycle between data preparation, training, evaluation and deployment. The business benefit is not merely benchmark speed; it is the ability to test more ideas within a fixed project window.
◆ Air-Cooled Integration
The air-cooled design may suit data centres that cannot immediately adopt direct-to-chip liquid infrastructure. Facility suitability must still be validated, but buyers can evaluate high-density Blackwell acceleration without automatically redesigning around a liquid loop.
◆ Scalable Host Memory
Thirty-two DDR5 DIMM slots support large host-memory footprints for data staging, preprocessing, CPU-side services and memory-intensive pipelines. Correct population is especially important because GPU configurations have minimum system-memory guidance and memory speed changes with DIMMs per channel.
◆ Flexible NVMe Capacity
Direct-attached NVMe options support fast local datasets, checkpoints, caches and scratch space. Buyers can choose between E3.S and U.2 layouts according to the validated configuration, serviceability goals and application I/O profile.
◆ Enterprise Control
iDRAC10, Redfish APIs and Dell OpenManage tools support remote monitoring, lifecycle operations, automation and power visibility. This matters when expensive accelerator systems must be administered consistently across a growing AI estate.
Product Highlights
Choose B300 NVL8 or B200 HGX configurations based on workload, software validation, memory demand and project budget.
Two 6th Generation Intel Xeon Scalable processors, with options reaching 86 cores per processor, support orchestration, preprocessing and CPU-bound services.
Up to 32 DIMM slots with published speeds up to 6400 MT/s; final capacity and speed depend on selected modules and population pattern.
Up to sixteen E3.S NVMe drives or up to ten U.2 NVMe SSDs, subject to the chosen system configuration.
BOSS-N1 supports two M.2 devices with hardware RAID 1 for separating operating-system boot from data storage.
Signed firmware, Secure Boot, Silicon Root of Trust, Secure Erase and platform verification features support controlled enterprise deployment.
The most important purchasing point is that the B300 and B200 builds are not interchangeable shopping labels. They have different GPU memory capacities, power characteristics, expansion layouts and minimum host-memory guidance. Buyers should request a validated bill of materials rather than assuming that every listed option can be combined freely.
Technical Specifications
| Specification | Dell PowerEdge XE9780 Details |
|---|---|
| Form factor | 10U rack server, air cooled |
| Processors | Two 6th Generation Intel Xeon Scalable processors, up to 86 cores per processor |
| Accelerators | 8 × NVIDIA HGX B300 NVL8 270GB 1100W SXM6, or 8 × NVIDIA HGX B200 180GB 1000W SXM6, interconnected with NVLink; no-GPU option listed |
| Memory | 32 DDR5 RDIMM slots; up to 6400 MT/s; Dell product page lists up to 4TB using 32 × 128GB, while service documentation lists supported 256GB RDIMM configurations up to 8TB. Validate current orderable maximum. |
| Storage | Up to 16 × E3.S NVMe direct drives, maximum listed 122.88TB; or up to 10 × U.2 NVMe SSDs, maximum listed 153.6TB; configuration dependent |
| Boot storage | BOSS-N1 NVMe boot subsystem, hardware RAID 1, 2 × M.2 SSDs |
| Expansion | B300: 4 × up to 150W Gen5 x16 FHHL; B200: up to 12 Gen5 x16 FHHL slots with listed power limits |
| Networking | 1 × OCP 3.0 using Gen5 x8 PCIe lanes; embedded OSFP listed for B300 configuration; adapter selection depends on fabric design |
| Management | iDRAC10, iDRAC Direct, Redfish API, OpenManage Enterprise and supported automation integrations |
| Power | Up to 12 × 3200W Titanium hot-swap redundant PSUs; service documentation describes 6+6 redundancy and input-dependent output |
| Dimensions | 439.5mm high × 482.3mm wide × 1044.7mm deep with bezel |
| Maximum listed weight | Up to 156kg |
| Operating systems | Canonical Ubuntu Server LTS and Red Hat Enterprise Linux |
| Warranty and services | Based on selected support contract and regional terms; confirm at quotation stage |
A balanced build starts with the application. Large training jobs may prioritise maximum GPU memory, fast checkpoint storage and a high-bandwidth cluster fabric. Inference deployments may focus more heavily on throughput per watt, service concurrency, redundancy and integration with orchestration platforms. Host memory should be sized for preprocessing, data loading and CPU-resident services, while local NVMe should be evaluated separately from shared training storage. Do not size the system solely by headline GPU count: data pipelines, network bottlenecks and power constraints can prevent an expensive platform from reaching its intended utilisation.
Configuration and Buyer Guidance
Before asking for a commercial offer, prepare a short technical brief. Identify whether the system will train models, fine-tune existing models, serve inference, run simulation, or combine these tasks. Include model families and parameter sizes where possible, expected dataset volume, target completion times, number of simultaneous users and required service availability. These details help determine whether B200 or B300 is appropriate and how much CPU, RAM, NVMe and network bandwidth should accompany the GPUs.
Training, inference and mixed-use clusters place different demands on GPU memory, storage and networking.
Confirm capacity and DIMM population, including Dell guidance for the selected GPU configuration.
Plan local NVMe, shared storage, backup, checkpoint retention and dataset movement as one system.
Specify management, storage and GPU-cluster traffic requirements, speeds, optics and switch compatibility.
Validate rack depth, floor loading, electrical feeds, PDU connectors, airflow and heat-removal capacity.
Confirm Linux distribution, drivers, CUDA framework, container platform, scheduler and security controls.
Share these points with FourTeck.com together with delivery location, quantity, preferred support duration and target deployment date. The resulting quote request will be more precise, easier to compare and less likely to omit essential components such as transceivers, power cords, rails, network adapters, deployment services or software subscriptions.
Ideal Business Use Cases
Large-Model Training
Research and engineering teams can use the eight-GPU platform for training and adapting language, vision, speech and multimodal models where accelerator memory and high-speed GPU communication are central requirements.
Enterprise Inference
Organisations deploying private assistants, document intelligence, coding tools or recommendation systems can consolidate high-throughput inference while keeping data and model operations within controlled infrastructure.
Scientific and Engineering HPC
Universities, energy organisations and technical laboratories can evaluate the platform for GPU-accelerated simulation, computational research, digital twins and data-intensive numerical workloads validated for the chosen software stack.
AI Platform as a Service
Cloud, telecom and managed-service providers can create dedicated enterprise AI capacity with centralised management, metering and workload orchestration, subject to a complete cluster and service architecture.
Regulated Private AI
Financial, government and healthcare teams may use on-premises infrastructure to support governance, data-location and access-control requirements while retaining direct operational oversight.
Central AI Research Environment
A shared platform can support multiple teams through scheduling and quota controls, reducing fragmented workstation purchases and creating a standard environment for approved frameworks and models.
Dell PowerEdge XE9780 GPU Performance Architecture
The defining feature is the HGX accelerator subsystem. Eight SXM6 GPUs are linked with NVIDIA NVLink, enabling high-bandwidth communication among accelerators inside the server. For workloads that divide a model across multiple GPUs, this internal fabric can be as important as the raw compute capability of an individual device. It supports model parallelism, distributed training within the node and large-memory inference strategies that cannot be handled efficiently by isolated PCIe cards.
The B300 option provides 270GB of GPU memory per accelerator, while the B200 option provides 180GB. That difference affects the models, batch sizes, context windows and precision formats that may fit without excessive offload or partitioning. Choosing the higher-capacity option should still be linked to measured software requirements, because acquisition cost, power demand and application readiness matter. Framework, driver and container compatibility must be validated for the target deployment date.
A high-performance server does not operate in isolation. Multi-node scaling requires an appropriate external fabric, compatible adapters, optics, switches and topology. Storage must feed the GPUs consistently, and job scheduling must keep the system occupied. FourTeck.com recommends documenting an end-to-end utilisation target so that investment in eight premium accelerators is supported by data pipelines, software and operations capable of using them effectively.
Dell PowerEdge XE9780 Memory and NVMe Data Pipeline
AI systems need more than GPU memory. Host RAM holds preprocessing stages, data loaders, embeddings, caches, CPU services and orchestration components. The server provides 32 DDR5 RDIMM slots and published memory speeds up to 6400 MT/s. Service documentation also shows that speed depends on population: one DIMM per channel can run faster than two DIMMs per channel. This creates a practical trade-off between maximum capacity and peak memory speed.
Dell documentation states minimum host-memory guidance above 1TB for B200 systems and above 2TB for B300 systems. These values should be treated as platform guidance, not a complete sizing answer. A production build may require more depending on dataset preparation, concurrent jobs, virtualisation or container density. Buyers should also confirm the currently orderable maximum because the public product page and service manual present different maximum-capacity contexts.
For local storage, the available E3.S or U.2 NVMe layouts can support fast scratch capacity, training checkpoints, model repositories and caching. Yet local drives should not be confused with a complete data-protection strategy. Determine which information is temporary, which must survive a node failure, which needs replication, and which belongs on shared enterprise storage. A resilient BOSS-N1 boot pair can isolate the operating system, while application data uses the front-drive subsystem. This separation simplifies maintenance and reduces the risk of treating boot media as production data storage.
The right storage design is expressed in throughput, latency, endurance and recovery objectives rather than terabytes alone. Ask how quickly a dataset must be staged, how often checkpoints are written, how long models are retained and how the system will restore after failure. Those answers should guide drive count, capacity, RAID or software-protection approach and connectivity to shared storage.
Dell PowerEdge XE9780 Management, Security and Reliability
Operating a dense AI server requires visibility beyond basic uptime. iDRAC10 provides embedded remote management, while Redfish APIs and Dell OpenManage tools support inventory, monitoring, firmware workflows and automation. Infrastructure teams can integrate lifecycle tasks into repeatable processes rather than managing each system manually. Power telemetry is particularly important because actual consumption changes with GPU utilisation and installed components.
The platform includes enterprise security capabilities such as cryptographically signed firmware, Secure Boot, Silicon Root of Trust, Secure Erase and Secured Component Verification. System Lockdown is available with the relevant iDRAC license. These controls help teams establish a trusted hardware and firmware baseline, but they should be combined with operating-system hardening, network segmentation, identity controls, secrets management, vulnerability processes and logging.
Power and cooling design also contribute to reliability. The system supports up to twelve hot-swap 3200W Titanium PSUs with a documented 6+6 redundancy arrangement, subject to input conditions and configuration. GPU fans are hot swappable, while CPU fan service characteristics differ. Redundancy does not replace electrical engineering: both power paths must be mapped to suitable PDUs and upstream feeds, and the room must remove the heat generated under sustained load.
Support coverage should reflect the workload’s business criticality. An experimental lab and a customer-facing inference service may need different response commitments, spare strategies and deployment services. Confirm regional support terms, duration, escalation route and software responsibilities before approval. FourTeck.com can help include these questions in the quotation process without assuming that one service package fits every organisation.
What Buyers Should Check Before Purchase
An AI server purchase can fail commercially even when the selected hardware is technically powerful. The most common risk is approving a headline configuration without confirming the full deployment environment. Use the following checklist to turn a model name into an implementable project.
GPU and Software Fit
Confirm whether the target frameworks, drivers and applications are validated for B200 or B300 and whether GPU memory matches model requirements.
Facility Compatibility
Verify 10U rack space, cabinet depth, weight capacity, access path, service clearance, airflow and power connectors before shipment.
Network Completeness
Include adapters, switches, optics, cables, management ports, storage traffic and cluster-fabric design in the bill of materials.
Data Protection
Define backup, replication, checkpoint retention and disaster recovery instead of relying only on high-capacity local NVMe.
Long-Term Cost
Model power, cooling, software, support, staff skills, networking and storage growth—not only the initial chassis price.
Quote Preparation
Provide quantity, workload, target date, support term, delivery site and infrastructure constraints for a comparable quotation.
Buyers should also decide who owns deployment responsibilities. Clarify whether the project requires rack installation, firmware baseline, operating-system installation, network integration, container platform setup, scheduler configuration, burn-in testing or application validation. A hardware delivery and a ready-to-use AI platform are different scopes. Recording these boundaries protects both the project schedule and the budget.
UAE Availability and Service Support
FourTeck.com supports Dell enterprise server inquiries in Dubai and across the UAE with assistance for requirement collection, configuration review, quotation preparation, delivery coordination and warranty-option guidance. Availability may vary according to accelerator generation, processor, memory, drive layout, network adapters, support contract, project quantity and supplier status. Because this is a specialised AI platform, lead times and commercial terms should be confirmed against a complete bill of materials.
For an effective inquiry, provide the business use case, expected GPU workload, preferred B200 or B300 platform if already known, host-memory target, local-storage requirement, networking standard, rack location and electrical details. FourTeck.com can then help identify missing procurement items and suitable alternatives where a requested component is unavailable or not appropriate for the deployment.
Warranty terms are not assumed. The selected service level, response commitment and coverage period should appear clearly on the quotation. Buyers should also confirm whether installation, software configuration and application validation are included or handled by separate project teams.
Dubai, Abu Dhabi, Sharjah and Ajman Coverage
Businesses in Dubai, Abu Dhabi, Sharjah, Ajman and other UAE locations can contact FourTeck.com for configuration guidance and quote assistance. Regional coordination may include reviewing the delivery address, site access, project schedule, order quantity and receiving requirements. For a large 10U system weighing up to 156kg, buyers should plan unloading, movement to the data hall, rack access and installation responsibility before dispatch. Availability and service scope remain dependent on the confirmed configuration and commercial agreement.
GCC and Africa Availability
FourTeck.com also supports selected enterprise technology inquiries across GCC and Africa markets through its regional inquiry channels. Organisations in Saudi Arabia, Qatar, Oman, Kuwait and Bahrain, together with project buyers in Kenya, Uganda and other African markets, may request assistance with product matching, configuration clarification and commercial coordination. Country-specific availability, delivery options, import requirements, support handling and warranty procedures can differ and must be confirmed for each project.
Regional buyers should share the destination country, delivery terms, quantity, target date, required documentation and preferred service scope. High-density AI infrastructure may also require local confirmation of electrical standards, data-centre suitability and installation resources. Useful regional portals include FourTeck Kuwait, FourTeck Kenya, FourTeck Uganda and FourTeck Africa.
No regional stock, delivery speed or support entitlement should be assumed until the exact build and destination have been reviewed. A written quotation should define the commercial and service boundaries.
Other Options Buyers May Consider
The best alternative depends on cooling strategy, processor preference, GPU density and workload scale. The following related Dell platforms can help buyers frame the discussion. Final specifications and orderability should be checked when requesting a quote.
Dell PowerEdge XE9780L
Consider when direct liquid cooling is part of the facility strategy and higher-density thermal management is preferred.
Dell PowerEdge XE9785
Suitable for buyers comparing an AMD host-processor path within a similar air-cooled, eight-GPU enterprise AI class.
Dell PowerEdge XE9680
A previous-generation dense GPU platform that may be evaluated for validated software stacks, availability or lifecycle planning.
Dell PowerEdge XE7740
Useful where PCIe accelerator flexibility and a different density or expansion profile better match the application.
Dell PowerEdge AI Servers
Browse the wider category when GPU count, cooling, CPU platform or rack footprint remains open.
Why Buyers Choose FourTeck.com
FourTeck.com works with business technology buyers who need more than a catalogue description. Enterprise AI purchases involve technical, financial and operational stakeholders, and each group needs clear information. Technical teams want a validated architecture. Procurement teams need a complete and comparable bill of materials. Finance teams need visibility into lifecycle costs. Project managers need realistic responsibilities and dependencies.
Requirement-led product matching for SMB, enterprise and project buyers.
Review of processor, GPU, memory, storage, networking and facility inputs.
Clearer quotation briefs that reduce omitted components and ambiguous scope.
Commercial coordination based on destination, project timing and order quantity.
Clarification of available service terms without assuming unverified coverage.
Related-model guidance when cooling, availability or budget changes the decision.
The objective is to help buyers request the right product with the right dependencies. FourTeck.com does not assume stock, guaranteed delivery or a universal support package. Instead, the team helps create a practical buying conversation based on the current project and confirmed supplier information.
Frequently Asked Questions
What is the Dell PowerEdge XE9780 used for?
It is designed for enterprise AI and accelerated computing, including large-model training, fine-tuning, high-throughput inference, multimodal processing and selected HPC workloads. Suitability depends on the application framework, GPU memory requirement, data pipeline and facility design. It is not a general office server and should be purchased as part of a complete AI infrastructure plan.
Which GPU options are available?
Dell lists eight NVIDIA HGX B300 NVL8 270GB SXM6 GPUs or eight NVIDIA HGX B200 180GB SXM6 GPUs, with NVLink interconnection. A no-GPU configuration is also listed. Current orderability, compatible components and software readiness should be confirmed at quotation because the two accelerator platforms have different memory, power and expansion characteristics.
Can it be installed in a standard air-cooled data centre?
The system is air cooled, but installation still requires engineering review. Confirm rack depth, 10U space, maximum weight, power feeds, PDU capacity, inlet airflow, heat-removal capability and service access. A conventional cooling method does not mean a conventional heat load. Facility teams should validate sustained operating conditions before procurement.
How much memory does the server support?
The platform has 32 DDR5 RDIMM slots. Dell’s product page lists up to 4TB with 128GB DIMMs, while service documentation includes supported 256GB DIMM configurations up to 8TB. Buyers should confirm the current orderable maximum, DIMM population, speed and GPU-specific minimum-memory guidance in the final bill of materials.
What local storage options are available?
Published options include up to sixteen E3.S NVMe direct drives or up to ten U.2 NVMe SSDs, with maximum listed capacities depending on drive selection. The correct layout should account for scratch data, checkpoints, model repositories, endurance and recovery. Shared storage and backup may still be required for production resilience.
Is the server available in Dubai and the UAE?
FourTeck.com accepts product inquiries and can coordinate configuration and quotation requests for UAE customers. Availability and lead time depend on the accelerator choice, full build, project quantity, supplier status and delivery requirements. No stock position should be assumed until a written quotation confirms the selected configuration.
Can FourTeck.com help prepare the configuration?
Yes. Share the workload, model size, number of users, storage needs, network fabric, preferred operating system, rack and power details, support term and target date. FourTeck.com can use this information to prepare a clearer procurement request and identify related items that may be required for deployment.
What support and warranty options should buyers consider?
Select support according to business criticality, operating hours and internal skills. Confirm response commitment, coverage period, regional terms, escalation route and whether software assistance is included. Deployment, operating-system configuration and application validation may be separate services, so the quotation should state the scope clearly.
What information is needed for a quote?
Provide the intended workload, B200 or B300 preference, CPU and memory targets, local-storage layout, network speed, quantity, delivery site, target timeline and support requirements. Include facility constraints and required services. A detailed brief produces a more useful quotation than asking for the chassis by model name alone.
Are bulk and project-supply inquiries supported?
Businesses can submit multi-unit and project requirements. Include deployment phases, destination locations, acceptance criteria, documentation, support expectations and network or storage dependencies. Commercial availability, allocation and lead time must be checked for the exact project configuration, especially for high-demand accelerator components.
Plan the Right Enterprise AI Configuration
Send FourTeck.com your workload, GPU preference, memory, storage, network, rack, power and support requirements. The team can help structure a configuration request, check current availability and prepare a business quotation for your UAE project.
