Dell PowerEdge XE9780L Liquid Cooled AI Rack Server in Dubai, UAE
The Dell PowerEdge XE9780L is a 3 OU accelerated compute node engineered for intensive artificial intelligence and high-performance computing environments that need exceptional GPU density with direct liquid cooling. Its platform brings together two Intel Xeon 6 processors, an eight-GPU NVIDIA HGX architecture, high-bandwidth GPU interconnects, fast DDR5 memory, dense NVMe storage options, PCIe Gen5 expansion, and iDRAC10 lifecycle management. FourTeck.com helps UAE organisations translate these capabilities into a practical rack-level deployment plan covering compute, cooling, power, networking, storage, software, service expectations, and project delivery.
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Quick Product Information
Dell Technologies
PowerEdge XE9780L
Liquid-cooled accelerated AI compute node
3 OU for Dell Integrated Rack 7000
AI training, inference, HPC and advanced analytics
Eight NVIDIA HGX B300 or B200 GPUs, based on configuration
Two Intel Xeon 6 processors
iDRAC10 and OpenManage integration options
Liquid-cooled CPUs, GPUs and NVLink switches
33 kW power shelf with six 5,500 W AC PSUs
Subject to configuration and supplier status
Share rack, workload, GPU, storage and service requirements
Buyer Snapshot
This platform is not a routine general-purpose server purchase. It is designed for organisations that already have, or are actively building, a data-centre environment capable of supporting concentrated GPU power, direct liquid cooling, high-speed east-west networking, enterprise storage, and specialist AI software. The most important buying decision is therefore not simply the processor or GPU model; it is whether the complete facility and architecture can support the intended deployment safely, efficiently, and at the required scale.
Enterprise AI factories, research clusters, sovereign AI projects, service providers and large-scale model teams.
High accelerator density enables more AI compute to be concentrated within a planned rack footprint.
Rack type, coolant distribution, facility water loop, power capacity, network fabric and deployment services.
Requirement review, configuration coordination, related infrastructure matching and project quotation support.
Product Overview
Modern AI initiatives often reach a point where conventional rack servers with a small number of PCIe accelerators no longer provide the density, inter-GPU communication, or thermal design needed for serious model development. The PowerEdge XE9780L addresses that requirement as a purpose-built accelerated compute node. Rather than adding GPUs to a standard server layout, it centres the system around an NVIDIA HGX platform with eight SXM6 GPUs linked through NVIDIA NVLink technology. This architecture is designed for workloads that benefit from tightly connected accelerator memory and parallel processing resources, including large language model training, foundation-model adaptation, multimodal processing, scientific simulation, and high-throughput inference.
Dell positions the node within its Integrated Rack 7000 architecture. The compute sled occupies 3 Open Rack Units and is installed in supported IR7044 or IR7050 systems. That distinction matters because the server is part of a broader rack-scale design involving a power shelf, cooling infrastructure, rack mechanics, cabling, management, and network connectivity. Buyers should therefore plan the platform as a data-centre solution rather than as a single box that can be placed into any ordinary 19-inch rack. Facility engineering, deployment sequencing, coolant readiness, load distribution, and service access all need to be reviewed before the purchase order is finalised.
The CPU side uses two Intel Xeon 6 processors, while the memory subsystem provides 32 RDIMM slots and high transfer rates. Storage can be configured with E1.S or U.2 NVMe options to support operating environments, local datasets, checkpoints, caches, container images, and temporary processing space. PCIe Gen5 expansion and an OCP NIC 3.0 slot provide flexibility for high-speed networking or validated devices. Embedded security controls and iDRAC10 management help infrastructure teams apply consistent provisioning, firmware, monitoring, remote management, and lifecycle practices across the deployment.
For a Dubai or UAE organisation, practical suitability depends on the surrounding architecture. A financial institution may use the platform for private model training where sensitive datasets must remain within controlled infrastructure. A university or research centre may use it for shared AI and scientific computing. A telecom operator may deploy it for advanced analytics, network intelligence, or language systems. A regional cloud or managed-service provider may use it to offer dedicated accelerator capacity. FourTeck.com helps buyers gather the right technical inputs, coordinate configuration discussions, and structure the commercial request around the complete project rather than an incomplete model-only enquiry.
Key Business Benefits
◆ Concentrated AI Compute
An eight-GPU HGX architecture gives enterprises a dense platform for workloads that would otherwise require several less-integrated servers. Higher density can simplify cluster design, reduce the number of individual nodes required for a target accelerator count, and create a clearer path for rack-scale expansion.
◆ Liquid-Cooling Efficiency
Direct liquid cooling targets the highest-heat components, including CPUs, GPUs, and NVLink switches. This approach supports the thermal requirements of high-power accelerators while helping data-centre teams design around predictable heat removal rather than relying only on large volumes of room air.
◆ Fast GPU Communication
NVLink-connected GPUs are valuable for training and inference jobs that must exchange data rapidly across accelerators. Strong interconnect capability can reduce communication bottlenecks, improve utilisation, and allow software teams to work with larger models or more demanding parallel workloads.
◆ Local NVMe Flexibility
Multiple E1.S or U.2 NVMe options provide space for boot, local datasets, model artefacts, checkpointing, scratch workloads, and caching. This helps architects balance shared storage traffic with fast node-local access, based on the data pipeline and resilience model.
◆ Centralised Lifecycle Control
iDRAC10, Redfish APIs, RACADM, Dell System Update, repository tools, and OpenManage integrations give administrators options for remote operation and automation. This becomes increasingly important when a deployment grows from a single node to a managed AI cluster.
◆ Security Foundation
Signed firmware, Secure Boot, Silicon Root of Trust, secure erase, encryption-capable drives, component verification, TPM support, and system lockdown contribute to a controlled infrastructure lifecycle. These controls help organisations align platform operations with internal governance requirements.
◆ Planned Scale-Out
The integrated-rack design encourages buyers to consider power, cooling, network fabric, storage, and service access from the beginning. That discipline can make future expansion more manageable because each additional node follows an established facility and architecture pattern.
Product Highlights
Select NVIDIA HGX B300 or, for supported configurations, HGX B200. The final accelerator choice should match model size, memory demand, software certification, schedule, and budget.
Thirty-two RDIMM slots and memory speeds up to 6400 MT/s support data preparation, orchestration, CPU-side preprocessing, and large host-memory requirements.
Choose up to sixteen E1.S NVMe drives or U.2 NVMe layouts according to capacity, endurance, serviceability, and local-data strategy.
Up to four x16 Gen5 full-height, half-length slots and an OCP NIC 3.0 Gen5 x16 option support validated networking and expansion requirements.
A 33 kW power shelf comprising six 5,500 W AC power supplies forms part of the rack solution, requiring deliberate electrical planning and redundancy review.
Canonical Ubuntu Server LTS and Red Hat Enterprise Linux are listed operating-system options. Application, framework, driver, container, and scheduler compatibility should still be validated.
Buyers should confirm the exact bill of materials rather than relying on the family name alone. CPU core count, GPU generation, memory population, drive format, local capacity, NIC selection, power arrangement, rail compatibility, rack type, coolant components, services, and support coverage can materially change the final solution.
Technical Specifications
| Specification | Dell PowerEdge XE9780L Details |
|---|---|
| Product category | Direct-liquid-cooled accelerated AI compute node |
| Processor | Two Intel Xeon 6 processors; supported core count depends on selected release and configuration |
| Accelerators | Eight NVIDIA HGX B300 1100 W SXM6 GPUs with NVLink, or eight NVIDIA HGX B200 180 GB 1000 W SXM6 GPUs on supported XE9780L configurations |
| Memory type | DDR5 RDIMM, up to 6400 MT/s |
| Memory slots | 32 DIMM slots; supported maximum depends on validated DIMMs and platform release |
| Front storage | Up to 16 E1.S NVMe drives, or U.2 NVMe configurations including supported PCIe CEM options; capacity depends on drive selection |
| Internal boot | BOSS-N1 with two 2280 M.2 SSDs |
| PCIe expansion | Up to four x16 Gen5 full-height, half-length slots |
| Network expansion | One OCP NIC 3.0 Gen5 x16 card option |
| Front I/O | USB 2.0 Type-A, USB 2.0 Type-C, Mini DisplayPort and dedicated RJ45 iDRAC Ethernet port on DC-SCM module |
| Management | iDRAC10, iDRAC Direct, Redfish API, RACADM, IPMI, Dell System Update, Repository Manager and OpenManage integrations |
| Security | Signed firmware, Secure Boot, Silicon Root of Trust, secure erase, system lockdown, TPM, component verification, chassis intrusion and SED encryption support |
| Cooling | Direct liquid cooling for CPUs, GPUs and NVLink switches, with high-performance fans for internal subsystems |
| Power | 33 kW power shelf with six 5,500 W AC PSUs as part of the integrated rack architecture |
| Form factor | 3 OU compute node for Dell IR7044 and IR7050 integrated racks |
| Dimensions | Approx. 140.50 mm high, 537.00 mm wide, with subsystem depth varying by tray |
| Maximum listed weight | Approximately 92.60 kg, configuration dependent |
| Operating systems | Canonical Ubuntu Server LTS and Red Hat Enterprise Linux |
| Warranty and support | Selected service package and regional terms; confirm before order |
The correct specification is determined by workload behaviour rather than by selecting the largest number in every row. A training cluster may prioritise accelerator memory, east-west bandwidth, checkpoint throughput, and node-to-node scaling. An inference platform may need to balance GPU count with latency targets, concurrency, availability zones, and serviceability. Local NVMe requirements depend on whether datasets are staged on each node, streamed from a parallel file system, or served through object storage. Memory must cover CPU-side preprocessing, orchestration, embedding pipelines, and the selected software stack. Power and cooling should be validated against steady-state load, transient behaviour, redundancy policy, future rack occupancy, and site conditions. FourTeck.com can help structure these questions before the final configuration request.
Configuration and Buyer Guidance
A successful purchase starts with a workload profile. Buyers should identify the models or applications they expect to run, training versus inference mix, dataset size, precision mode, expected concurrency, target completion time, framework versions, container strategy, and whether the platform will operate as a single node or as part of a larger cluster. This information influences GPU generation, memory requirements, network fabric, storage design, scheduling software, and operational support.
Confirm GPU memory, model scale, parallelism method, software compatibility, projected utilisation and growth.
Verify IR7000 architecture, floor loading, service clearances, rails, cable routing, rack position and installation process.
Review facility water, CDU design, coolant temperatures, flow, redundancy, monitoring, maintenance ownership and leak response.
Assess feed type, power shelf design, redundancy, breaker capacity, PDU layout, metering and future expansion.
Specify network speed, topology, DPU or NIC needs, storage protocol, parallel file system, object store and backup path.
Clarify installation, deployment, firmware baseline, burn-in, acceptance testing, support term and escalation process.
Before requesting a quote, share the project location, required node count, target GPU platform, preferred CPU profile, host-memory target, local-storage plan, network-fabric specification, rack availability, cooling readiness, power standard, operating system, AI software stack, target delivery window, warranty expectation, and any deployment or commissioning requirement. Providing this information reduces configuration rework and helps the quotation reflect the real solution rather than an incomplete chassis description.
Ideal Business Use Cases
Large-Model Training
Organisations developing or adapting large language, vision, multimodal, speech, and domain-specific models can use the eight-GPU architecture for distributed training inside a node. The business case is strongest where teams have recurring workloads, valuable private data, and a clear plan for utilisation rather than occasional experimentation.
Enterprise Inference
High-throughput inference services for internal copilots, customer applications, document intelligence, fraud analysis, recommendation, and real-time decision support can benefit from dense accelerator resources. Architects should still plan workload isolation, scaling, failover, monitoring, and service-level objectives.
Research and Scientific Computing
Universities, laboratories, engineering groups, and scientific teams may use the platform for simulation, computational chemistry, climate analysis, genomics, imaging, and other highly parallel applications. Software licensing, scheduler integration, shared-access policy, and data governance should form part of the project.
Sovereign and Private AI
Government, finance, healthcare, energy, defence-related, and regulated organisations may prefer private infrastructure for data control, model governance, predictable access, or residency requirements. The platform can form part of that design when paired with suitable security, operations, and compliance controls.
AI Cloud and Managed Services
Regional service providers can build dedicated or shared accelerator offerings for customers that need local capacity. Commercial success depends on orchestration, tenancy, metering, support, workload scheduling, network isolation, capacity forecasting, and sufficient utilisation to justify the infrastructure investment.
Advanced Data Analytics
Enterprises processing large data volumes for forecasting, digital twins, cyber analytics, telecom intelligence, industrial inspection, or risk modelling can combine CPU, GPU, memory, storage, and network resources in one accelerated platform. The data pipeline must be designed to keep the GPUs supplied efficiently.
This system is usually not the economical choice for light office applications, basic virtualisation, small databases, routine file services, or occasional low-scale machine learning. Those workloads are better matched to general-purpose PowerEdge rack servers or smaller GPU platforms. FourTeck.com can help buyers compare the workload requirement with other enterprise server options before committing to a rack-scale AI design.
Dell PowerEdge XE9780L AI Workload Performance
The central performance advantage comes from the NVIDIA HGX platform. Eight SXM6 GPUs are integrated with NVLink technology, enabling rapid communication across accelerators. This matters because training large models is rarely a sequence of isolated calculations. Parameters, activations, gradients, and intermediate results move continually among processors. A weak interconnect can leave expensive GPUs waiting for data, while a tightly connected platform allows software frameworks to divide work more effectively within the node.
GPU choice should be driven by the application roadmap. B300 and B200 configurations differ in memory, power, availability, software qualification, and project timing. Buyers should review the exact models they intend to run, supported precision formats, framework releases, driver versions, CUDA requirements, container images, and any vendor-certified solution stack. Model size alone is not enough. Batch size, sequence length, context window, checkpoint strategy, fine-tuning method, inference concurrency, and reliability objectives all affect the required accelerator resources.
The two Intel Xeon 6 processors remain important even in a GPU-centred design. Host CPUs manage operating-system services, data ingestion, decompression, orchestration, preprocessing, networking, storage I/O, security controls, and job scheduling. Under-sizing CPU or host memory can create a pipeline bottleneck that limits accelerator utilisation. Conversely, over-configuring CPU resources without a workload reason can increase cost and power without improving job completion. A balanced bill of materials should be based on measured or well-estimated workload behaviour.
Dell PowerEdge XE9780L Liquid Cooling and Rack Integration
Direct liquid cooling is a defining characteristic of this node, not a minor accessory. The CPUs, GPUs, and NVLink switches generate substantial heat under sustained work, and the system is designed to transfer much of that heat into a liquid loop. This makes the solution suitable for dense AI deployments, but it also creates facility dependencies that must be addressed during design. A conventional air-cooled server room may not be ready without additional infrastructure.
The project team should confirm the relationship between the building water system, facility water system, coolant distribution units, rack manifold, node connections, monitoring, and service procedures. Temperature ranges, flow rates, water quality, redundancy, leak detection, isolation valves, maintenance windows, and emergency response should be documented. Ownership must also be clear: facilities personnel, data-centre operations, IT infrastructure, the cooling contractor, and the hardware support provider need agreed responsibilities.
Rack mechanics are equally important. The system is a 3 OU node for Dell Integrated Rack 7000 environments rather than a normal 19-inch EIA server. It has significant weight and depth, so floor loading, installation paths, lifting procedures, service clearance, and rack placement require review. Power is supplied as part of a rack architecture using a 33 kW power shelf with six high-capacity AC power supplies. Electrical engineers should validate upstream feeds, redundancy, breakers, metering, PDU arrangement, grounding, and expansion capacity.
A rack-scale plan reduces the risk of purchasing compute before the site is ready. FourTeck.com can coordinate requirement discussions and help the buyer identify the information that must be confirmed with Dell, facility teams, and deployment providers. Final installation should follow approved vendor documentation and project-specific engineering.
Dell PowerEdge XE9780L Storage, Networking and Management
Accelerator performance is only useful when data can reach the GPUs at the required rate. The node offers local NVMe choices using E1.S or U.2 drives, creating several possible designs. Some environments use local storage for the operating system, containers, temporary files, caches, and checkpoints while keeping authoritative datasets on a shared parallel file system or object platform. Others stage larger working sets on each node to reduce network traffic. The appropriate design depends on dataset size, write endurance, failure domain, rebuild strategy, and workflow.
Networking must be selected with equal care. The OCP NIC 3.0 slot and PCIe Gen5 expansion options allow validated high-speed adapters, but the correct fabric depends on cluster scale and software. Buyers may require separate paths for management, storage, workload traffic, and accelerator communication. Port speed, switch radix, oversubscription, topology, optics, cables, DPUs, VLANs, routing, congestion control, and redundancy all affect performance and operability. A single-node proof of concept and a multi-rack training cluster will have very different network bills of materials.
iDRAC10 provides embedded management, while Redfish APIs, RACADM, IPMI, Dell System Update, Repository Manager, enterprise catalogues, Ansible modules, Terraform providers, and OpenManage integrations support broader operational workflows. These tools can help teams standardise provisioning, firmware baselines, monitoring, inventory, alerts, and automated lifecycle tasks. Before deployment, define who owns firmware updates, how changes are tested, how maintenance windows are approved, and how configuration drift will be detected.
What Buyers Should Check Before Purchase
Before requesting a quotation, buyers should verify the full solution boundary. The model name identifies the compute node, but it does not define the GPU generation, CPU selection, memory population, storage type, networking, rack, power shelf, coolant system, software, deployment services, warranty, or delivery plan. A complete request should connect the hardware configuration to the business workload and the physical data-centre environment.
Configuration Fit
Confirm accelerator model, CPU profile, memory capacity, drive layout, boot media, NICs, PCIe devices and any required DPU. Request a validated bill of materials rather than an informal list of parts.
Facility Compatibility
Check IR7000 rack availability, floor loading, installation path, liquid-cooling design, water quality, CDU capacity, electrical feeds, breaker sizing, grounding, monitoring and service clearance.
Software Readiness
Validate Linux release, drivers, firmware, CUDA stack, AI frameworks, containers, cluster scheduler, model support, security hardening, monitoring agents and backup tooling.
Data Architecture
Estimate dataset size, growth, checkpoint traffic, scratch capacity, object storage, parallel file system performance, backup windows, archive policy and recovery objectives.
Network Fabric
Specify node count, link speed, topology, switches, optics, cables, management network, storage fabric, redundancy and cluster communication requirements.
Commercial Scope
Clarify delivery terms, installation, commissioning, acceptance tests, support level, duration, response expectations, training, spare strategy, payment milestones and project schedule.
Long-term usage cost includes more than acquisition. Electricity, cooling, data-centre space, network ports, storage, software subscriptions, support, staff skills, maintenance, spare capacity, and future expansion all contribute to total cost. Buyers should also consider utilisation: a premium AI system delivers the strongest return when teams have a sustained pipeline of valuable workloads. FourTeck.com can help review the information needed for an accurate request and identify more suitable alternatives when the requirement does not justify this class of platform.
UAE Availability and Service Support
FourTeck.com supports Dell PowerEdge XE9780L Dubai enquiries and wider UAE projects with pre-sales requirement review, configuration coordination, quote preparation, and delivery planning. Because this is a specialist rack-scale platform, availability may depend on accelerator supply, approved component combinations, rack infrastructure, cooling design, services, order quantity, and the requested project timeline. A model-only enquiry will normally require additional technical information before a reliable commercial proposal can be prepared.
Support discussions can include processor and GPU options, host memory, NVMe storage, network adapters, integrated rack requirements, power architecture, liquid-cooling readiness, operating system, AI stack, Dell service choices, installation scope, and acceptance criteria. Warranty terms and service response vary by selected package and location, so buyers should request written confirmation for the proposed configuration rather than assuming a standard desktop or general server warranty applies.
Delivery coordination should account for data-centre access, receiving restrictions, staging, equipment weight, rack installation, cabling, coolant connection, electrical work, and commissioning. FourTeck.com does not present unverified stock or guaranteed delivery claims. The team works from the buyer’s requirement and current supplier information to prepare the next step.
Business Coverage Across the Emirates
Organisations in Dubai, Abu Dhabi, Sharjah, Ajman, and other UAE locations can contact FourTeck.com for configuration guidance and quotation support. The engagement may involve enterprise IT, data-centre operations, facilities, procurement, finance, security, application owners, research teams, consultants, and project contractors. Bringing these stakeholders together early helps identify dependencies before equipment is ordered.
For multi-site or government-related projects, buyers should state the final installation location, data-residency needs, site standards, delivery restrictions, approval process, and service expectations. FourTeck.com can coordinate the product enquiry and related infrastructure requirements, while final technical design and installation responsibilities should be documented in the project scope.
GCC and Africa Availability
FourTeck.com also supports enterprise technology enquiries from selected GCC and Africa markets. Organisations in Saudi Arabia, Qatar, Oman, Kuwait, Bahrain, Kenya, Uganda, and other regional locations may request assistance for configuration review, commercial coordination, and suitable solution options. Product availability, delivery method, import requirements, warranty handling, installation services, and lead time can differ by country and project.
Regional AI infrastructure projects often need additional planning for data-centre capability, electrical standards, cooling infrastructure, cross-border logistics, on-site skills, remote management, and service coverage. Buyers should provide the destination country, site readiness, node quantity, deployment schedule, support expectation, and whether the request includes racks, networking, storage, software, or professional services.
Use the main FourTeck.com technology platform for UAE enquiries, or review regional inquiry channels for Kenya, Uganda, Africa, and Kuwait. Final supply arrangements remain subject to project review.
Other Options Buyers May Consider
Not every AI project needs the same cooling model, CPU architecture, GPU generation, or deployment scale. FourTeck.com can help compare related systems according to facility capability, workload size, growth plan, and procurement budget. The following alternatives may be relevant starting points; final suitability depends on current Dell specifications and the selected configuration.
Dell PowerEdge XE9780
Consider the air-cooled variant where the facility cannot support direct liquid cooling but still requires an eight-GPU accelerated platform.
Dell PowerEdge XE9785L
A related liquid-cooled AI node for buyers evaluating an AMD processor platform within the same rack-scale design approach.
Dell PowerEdge XE9680
Useful for comparing a previous-generation eight-GPU PowerEdge architecture, subject to lifecycle, accelerator, and availability requirements.
Dell PowerEdge R760xa
A more conventional GPU-capable rack server for workloads that need fewer accelerators and greater flexibility in standard enterprise environments.
Enterprise Storage
AI projects often require high-throughput shared storage, object platforms, backup, and archive systems alongside compute.
Data-Centre Networking
High-speed switching, optics, cables, management networks, and fabric design can be as important as the compute node itself.
Why Buyers Choose FourTeck.com
Specialist infrastructure purchases often fail when the quotation process begins with a model number but omits the environment, workload, dependencies, and acceptance criteria. FourTeck.com takes a requirement-led approach. The team helps buyers identify the configuration questions that need answers, organise information for supplier discussions, and connect the server request with relevant rack, cooling, network, storage, software, and service considerations.
Assistance for enterprise, government, education, service-provider and project procurement requirements.
Structured review of compute, memory, storage, network, power, cooling and support needs.
Clear commercial enquiry preparation based on the intended project and requested deliverables.
Support in comparing alternative PowerEdge systems and associated infrastructure components.
Discussion of project location, delivery constraints, staging, schedule and receiving requirements.
Help identifying the service term, response expectations and regional conditions to confirm in writing.
FourTeck.com does not rely on unverified claims about stock, authorisation, guaranteed pricing, or delivery speed. The objective is to help the buyer reach a configuration and commercial scope that can be checked, approved, and implemented with fewer surprises.
Frequently Asked Questions
What is the PowerEdge XE9780L used for?
It is designed for demanding accelerated workloads such as large-model training, generative AI inference, multimodal processing, scientific computing, simulation, and advanced analytics. Its eight-GPU NVIDIA HGX architecture and direct liquid cooling are intended for organisations that need dense compute and have a suitable integrated-rack data-centre environment.
Can it be installed in a normal 19-inch rack?
The XE9780L is specified as a 3 OU compute node for Dell Integrated Rack 7000 systems such as supported IR7044 and IR7050 configurations. Buyers should not assume compatibility with a conventional EIA rack. Rack mechanics, rails, power shelf, liquid cooling, floor loading, and service clearances must be reviewed as part of the project.
Which GPUs are available?
Dell lists eight NVIDIA HGX B300 1100 W SXM6 GPUs and, on supported XE9780L configurations, eight NVIDIA HGX B200 180 GB 1000 W SXM6 GPUs. Availability and final ordering combinations can change by region and release. The correct choice depends on workload, GPU memory, software support, power, schedule, and budget.
Does the server require direct liquid cooling?
Yes. Its design uses liquid cooling for CPUs, GPUs, and NVLink switches. The data centre must have an approved cooling architecture that addresses facility water, coolant distribution, flow, temperature, water quality, redundancy, leak detection, monitoring, maintenance, and service ownership. Site readiness should be checked before the order is placed.
Can FourTeck.com help configure the platform?
FourTeck.com can help organise the requirement for processor, accelerator, memory, local storage, networking, rack integration, power, cooling, operating system, support, and delivery. Final engineering and validated component approval remain subject to Dell documentation, supplier confirmation, and the agreed project scope.
Is it available in Dubai and the UAE?
FourTeck.com accepts enquiries from Dubai and across the UAE. Actual availability and lead time depend on the exact configuration, GPU supply, integrated-rack requirements, services, order quantity, and supplier status. Submit the intended workload, site, node count, and target schedule for a current quotation review.
What storage options should an AI buyer choose?
The system supports E1.S and U.2 NVMe configurations. Selection should consider boot, container images, dataset staging, scratch space, checkpoints, caching, endurance, serviceability, and whether authoritative data remains on shared storage. Local capacity should be designed with the storage network and data pipeline, not selected in isolation.
Which operating systems are supported?
Dell lists Canonical Ubuntu Server LTS and Red Hat Enterprise Linux. Buyers must also verify the exact OS release, drivers, firmware, CUDA version, AI frameworks, containers, cluster scheduler, security tools, and application support for the selected GPU configuration before production deployment.
What information is needed for a quote?
Provide the installation country, node count, workload, preferred GPU, CPU and memory target, local-storage plan, network fabric, rack and cooling status, electrical standard, software stack, deployment services, support term, delivery window, and any acceptance-testing requirement. More complete information produces a more useful commercial response.
Can businesses request multi-node or project supply?
Yes, project enquiries can cover multiple compute nodes and related rack, power, cooling, networking, storage, software, and service requirements. Multi-node proposals require careful capacity and site planning. FourTeck.com can help structure the enquiry, while final availability, commercial terms, engineering, and implementation responsibilities must be confirmed for the specific project.
Plan Your Liquid-Cooled AI Infrastructure
Share your AI workload, target GPU platform, node quantity, data-centre location, rack readiness, cooling design, power capacity, storage, network fabric, operating system, delivery schedule, and support expectations. FourTeck.com will use these details to coordinate configuration and quotation assistance for your project.
