Omnixon Global
ASUS ESC8000-E12 Intel GPU Flex Server Platform

ASUS ESC8000-E12 Intel GPU Flex Server Platform

Brand: Intel | Category: GPUs

SKU: ESC8000-E12 | Part #: ESC8000-E12 | MPN: ESC8000-E12

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About the ASUS ESC8000-E12 Intel GPU Flex Server Platform

The ASUS ESC8000-E12 is a purpose-built 4U rack server platform engineered to host Intel GPU Flex Series accelerators at scale, supporting up to eight double-width GPUs within a single chassis. Built on the Intel Xeon Scalable (Sapphire Rapids) processor architecture and the ASUS Server Board WS-E12, the platform delivers the PCIe 5.0 connectivity bandwidth required to fully saturate multiple discrete GPU accelerators simultaneously, making it a high-density foundation for modern AI inference, media processing, and cloud gaming deployments.

The ESC8000-E12 supports dual Intel Xeon Scalable 4th Generation processors and up to 4TB of DDR5 ECC Registered memory across 32 DIMM slots, providing the memory bandwidth and compute capacity needed to feed parallel GPU workloads without bottlenecks. The chassis integrates a high-capacity redundant power supply configuration, hot-swap storage bays, and enterprise-grade thermal management with tool-less GPU installation trays, reducing deployment and maintenance overhead in dense datacenter environments.

Designed explicitly around the Intel GPU Flex Series (Arctic Sound-M) accelerator family, the ESC8000-E12 enables workloads such as AI-driven video analytics, cloud gaming-as-a-service, media transcode at scale, and enterprise visualization. The platform is fully compatible with Intel's oneAPI software ecosystem, allowing organizations to run optimized workloads across CPU and GPU resources through a unified programming model, and is available to enterprise buyers across UAE, GCC, EMEA, and APAC regions through Omnixon Global.

Ideal for

  • Large-scale AI inference serving using Intel GPU Flex Series accelerators for real-time or batch inferencing of deep learning models across vision, NLP, and recommendation workloads
  • Cloud gaming-as-a-service (GaaS) platforms requiring high-density GPU virtualization and low-latency graphics rendering for concurrent user sessions
  • Professional media transcode and streaming pipelines demanding hardware-accelerated AV1, HEVC, and AVC encode/decode at multi-stream throughput
  • Enterprise virtual desktop infrastructure (VDI) deployments where GPU-accelerated rendering must be distributed across large pools of concurrent users
  • AI-powered video analytics for surveillance, retail intelligence, and industrial inspection leveraging GPU-accelerated computer vision inference
  • Datacenter consolidation for HPC visualization and remote workstation workloads requiring certified GPU compute alongside high-core-count Xeon processing

Technical specifications

ManufacturerIntel
BrandASUS
Manufacturer Part NumberESC8000-E12
Form Factor4U Rack Server
Processor SupportDual Intel Xeon Scalable 4th Generation (Sapphire Rapids), Socket LGA4677
Maximum Processors2
Memory TypeDDR5 ECC Registered (RDIMM / LRDIMM)
Memory Slots32 x DIMM slots
Maximum Memory CapacityUp to 4TB
GPU SlotsUp to 8 x double-width GPU accelerators
GPU CompatibilityIntel GPU Flex Series (Arctic Sound-M); PCIe 5.0 x16 slots
PCIe StandardPCIe 5.0
Storage Bays8 x 2.5-inch hot-swap drive bays
Storage InterfaceSATA / NVMe (U.2)
NetworkDual-port 10GbE (BASE-T) on-board; additional NIC expansion via PCIe
Power SupplyRedundant 80 PLUS Titanium PSUs
Systems ManagementASUS ASMB11-iKVM (IPMI 2.0, Redfish API, out-of-band management)
Operating System SupportLinux (Ubuntu, RHEL, SLES); Windows Server 2022
Software EcosystemIntel oneAPI Toolkit, Intel Distribution of OpenVINO, Intel Media SDK
Chassis Dimensions4U rackmount; standard 19-inch EIA rail compatible
Target WorkloadsAI inference, cloud gaming, media transcode, VDI, HPC visualization

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.

Technical Specifications

BrandIntel
CategoryGPUs
SKUESC8000-E12
Part NumberESC8000-E12
ConditionNew
Manufacturer Part NumberESC8000-E12
Form Factor4U Rack Server
Processor SupportDual Intel Xeon Scalable 4th Generation (Sapphire Rapids), Socket LGA4677
Maximum Processors2
Memory TypeDDR5 ECC Registered (RDIMM / LRDIMM)
Memory Slots32 x DIMM slots
Maximum Memory CapacityUp to 4TB
GPU SlotsUp to 8 x double-width GPU accelerators
GPU CompatibilityIntel GPU Flex Series (Arctic Sound-M); PCIe 5.0 x16 slots
PCIe StandardPCIe 5.0
Storage Bays8 x 2.5-inch hot-swap drive bays
Storage InterfaceSATA / NVMe (U.2)
NetworkDual-port 10GbE (BASE-T) on-board; additional NIC expansion via PCIe
Power SupplyRedundant 80 PLUS Titanium PSUs
Systems ManagementASUS ASMB11-iKVM (IPMI 2.0, Redfish API, out-of-band management)
Operating System SupportLinux (Ubuntu, RHEL, SLES); Windows Server 2022
Software EcosystemIntel oneAPI Toolkit, Intel Distribution of OpenVINO, Intel Media SDK
Chassis Dimensions4U rackmount; standard 19-inch EIA rail compatible
Target WorkloadsAI inference, cloud gaming, media transcode, VDI, HPC visualization

Frequently Asked Questions about ASUS ESC8000-E12 Intel GPU Flex Server Platform

What server platforms accept the ASUS ESC8000-E12 Intel GPU Flex Server Platform?

Reference servers include Dell PowerEdge XE9680 / XE9712, HPE Cray XD670, Lenovo ThinkSystem SR685a / SR675 V3, Supermicro AS-A21GE / SYS-821GE, Gigabyte G593 / G894, ASUS ESC. Share your target platform in the RFQ and we will confirm chassis-to-GPU compatibility and recommended NIC pairing.

How long is the lead time on AI GPUs?

Highly model-dependent. L40S / RTX-class: typically 3-6 weeks. H100/H200/B200 in SXM form factor: 12-16 weeks for whole-platform allocations. We quote genuine-channel ETAs only — no grey-market promises.

Do you supply matched networking (Quantum InfiniBand / Spectrum-X)?

Yes — Omnixon stocks the full NVIDIA networking lineup (Quantum-2 / Quantum-X InfiniBand, Spectrum-X Ethernet, ConnectX NICs, BlueField DPUs) so we can quote a complete training-cluster BOM, not just the GPUs.

Can you help with NVIDIA AI Enterprise licensing?

Yes. We hold genuine-channels for NVIDIA AI Enterprise software subscriptions. Add it to your RFQ and we quote node-aligned licensing along with the hardware.