AMD EPYC 9005 Series
5th Gen AMD EPYC uses Zen 5 and Zen 5c architectures and the family scales to as many as 192 cores per processor. Current platforms provide 12-channel DDR5 memory and PCIe Gen 5 connectivity for dense enterprise compute.
Server hardware · AMD EPYC · Intel Xeon · NVMe · GPU
Dedicated Server Hardware Guide: Current Enterprise Technology
Understand current processor, DDR5 memory, enterprise NVMe, networking, GPU and server-platform choices before approving dedicated infrastructure.
Current processor platforms
Core count matters, but architecture and workload behaviour matter too
Dedicated server selection should consider per-core performance, parallelism, memory bandwidth, I/O lanes, software licensing, virtualisation density and application behaviour rather than buying the largest core count available.
Intel Xeon 6
Intel Xeon 6 includes performance-core and efficiency-core platforms, allowing architects to choose between strong per-core performance and high-density throughput according to workload requirements.
Intel Xeon 6+
Intel Xeon 6+ reaches as many as 288 Efficient-cores per processor. Current platform specifications include 12-channel DDR5 memory and PCIe Gen 5 connectivity for high-density data-centre workloads.
Licensing impact
Commercial software may be licensed by physical core, socket, virtual core or instance. More processor cores can increase software cost even when the application does not need them.
Memory bandwidth
CPU choice also controls memory channels, NUMA topology and available bandwidth, which can matter more than raw core count for databases and analytics.
I/O capability
PCIe lanes and platform topology determine how many NVMe drives, accelerators and high-speed network adapters can be attached without creating an avoidable bottleneck.
Memory architecture
Size DDR5 ECC memory from the application’s working set
Modern enterprise server processors provide multiple DDR5 memory channels because memory bandwidth can constrain databases, virtualisation and analytics long before the processor reaches maximum core utilisation.
DIMM population affects both capacity and effective bandwidth. A sound design considers database cache requirements, virtual-machine density, application growth, NUMA behaviour and processor topology rather than simply installing the largest amount of memory available.
Very large memory configurations also increase the importance of recovery engineering. A server with enormous RAM capacity is not resilient if the workload cannot be reconstructed or restored within the required service window.
Enterprise storage
PCIe Gen 5 NVMe speed should be matched with endurance and recovery
Storage design combines performance, endurance, failure behaviour, data protection and the application’s own I/O pattern.
PCIe Gen 5 enterprise NVMe
High-throughput NVMe can serve demanding databases, virtual machines, analytics and high-I/O applications. Enterprise endurance and power-loss protection can matter as much as benchmark speed.
RAID architecture
Software RAID, hardware RAID and direct HBA designs have different failure and recovery characteristics. The application and backup strategy should drive the choice.
Capacity storage
SAS, SATA SSD and higher-capacity storage can remain appropriate for repositories and data sets where economics matter more than minimum latency.
RAID is not backup
Local redundancy protects against selected device failures. It does not provide an independent historical copy or prove that the application can be restored.
Drive count and lanes
Large NVMe arrays require enough PCIe connectivity and chassis support to avoid oversubscription and serviceability problems.
Recovery design
Storage layout should be selected together with backup, restoration and application recovery objectives rather than treated as an isolated hardware purchase.
GPU and accelerated computing
AI and GPU servers must be designed as complete systems
Accelerator choice is only part of the platform. CPU capacity, system memory, interconnect, power, cooling, local storage and network throughput can all limit the application.
NVIDIA H200
H200 uses Hopper architecture with 141 GB HBM3e memory and targets large AI inference, HPC and memory-intensive accelerated workloads.
NVIDIA B200
HGX B200-class systems provide 180 GB HBM3e per GPU and target large-scale AI training and inference on specialist high-power platforms.
NVIDIA B300
HGX B300-class systems provide 288 GB HBM3e per GPU, increasing accelerator memory capacity for demanding reasoning, training and scientific workloads.
RTX PRO 6000 Blackwell Server Edition
RTX PRO 6000 Blackwell Server Edition provides 96 GB GDDR7 memory for enterprise AI, rendering, simulation and professional visual computing.
Power and cooling
High-end accelerator platforms can require substantial rack power and specialised air or liquid cooling. Facility compatibility must be confirmed before order.
Availability
Accelerator inventory changes quickly. Britixo treats published hardware classes as technical options subject to actual inventory, facility compatibility and quotation.
Conventional dedicated hosting may use 1 or 10 GbE connectivity, while specialised application, storage, AI and HPC designs can require 25, 40, 100, 200 or 400 GbE classes where the selected server and facility support them.
A faster network adapter does not guarantee faster application performance. Public transit, private networking, storage throughput, protocol behaviour and upstream capacity all influence the useful result.
High-density AI systems can place particularly strong demand on east-west traffic, making the server network part of the compute architecture rather than an accessory selected after the accelerators.
Server platform
Chassis, remote management and serviceability matter
The complete physical platform determines expansion, cooling, drive count, power redundancy and how safely engineers can recover from component failure.
1U compute platforms
Dense general-purpose compute can suit web, database, virtualisation and application workloads with modest expansion or storage requirements.
2U and storage-dense platforms
Larger chassis can provide more drive bays, memory, PCIe expansion and cooling flexibility for storage-heavy and high-capacity workloads.
GPU platforms
Accelerator-class servers require appropriate PCIe or SXM topology, power, airflow or liquid cooling and sufficient network and storage throughput.
Redundant power
Enterprise chassis can provide redundant power supplies to reduce the impact of an individual PSU failure where the facility and design support dual feeds.
Hot-swap components
Selected drives and power components can be serviceable without a complete chassis replacement, improving operational control.
Out-of-band management
Remote management controllers provide console, power and hardware telemetry access independently of the production operating system.
Specification process
Start with measured workload evidence
Measure
Capture processor utilisation, memory use, I/O latency, throughput, network demand and growth where current evidence is available.
Identify constraints
Record UK placement, software certification, licensing, GPU, storage, security and recovery requirements.
Shortlist hardware
Compare processor, RAM, storage, NIC, chassis and accelerator classes against the workload instead of choosing by brand alone.
Confirm availability
Verify actual inventory, facility compatibility, commercial terms and expected delivery before order acceptance.
Validate in service
Measure application behaviour, monitoring and recovery after deployment rather than assuming specification-sheet benchmarks guarantee the business outcome.
Related infrastructure decisions
Continue from hardware into the service decision
UK Dedicated Servers
Move from technical research into Britixo’s dedicated-server configuration and quotation route.
View Dedicated ServersVPS vs Dedicated Server
Check whether the workload actually requires physical infrastructure or can remain on managed virtual resources.
Compare PlatformsManaged Server Support
Plan who will operate, patch, monitor and troubleshoot the final server after deployment.
Read Managed Support GuideStraight answers
Questions behind a dedicated-server configuration
Should I choose AMD EPYC or Intel Xeon?
Choose from workload behaviour, software compatibility, licensing, memory, I/O and performance requirements. Both current families cover substantial ranges of enterprise workloads.
Is more CPU cores always better?
No. Per-core performance, software scaling, memory bandwidth and licensing can make a lower-core-count processor the better technical and commercial choice.
Does every AI workload need H200, B200 or B300?
No. Accelerator choice depends on model size, training or inference objectives, memory footprint, throughput, software support and budget. Some workloads need much smaller accelerators or can run on CPU.
Is every listed processor or GPU guaranteed in stock?
No. Hardware classes describe current technology options. Actual SKU, facility compatibility, delivery time and availability are confirmed in the quotation before order acceptance.
A practical next step
Specify the workload before the hardware.
Share measured resource demand, software, storage, network, UK-location, GPU and support requirements. Britixo can then frame an appropriate dedicated-server specification.