ASUS

ASUS ESC8000A-E12P Dual AMD EPYC 9004 GPU Server

Modèle: ESC8000A-E12P

Experience unmatched performance with the ASUS ESC8000A-E12P Dual AMD EPYC 9004 GPU Server. Designed for enterprise AI and HPC workloads, this server features powerful AMD EPYC processors, supports up to 8 GPUs, and offers advanced cooling and management solutions. Ideal for data centres looking to enhance their infrastructure. The catalog's only vendor-agnostic GPU server: up to eight PCIe GPUs, NVIDIA or AMD, on a dual AMD EPYC 9004 host with 256 cores and 13 PCIe 5.0 slots in 4U. Built for inference fleets that scale card by card. Configured and shipped worldwide DDP by MillionMiner.

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Caractéristiques complètes

Modèle ESC8000A-E12P
Processeur AMD EPYC 9004, 128 Zen 4c cores
Mémoire Up to 4800 MHz DDR5, 12-channel
Assistance GPU Up to 8 dual-slot GPUs
Version PCIe PCIe 5.0
Alimentation électrique Up to four 3000W Titanium redundant PSUs
Baies de stockage 8 bays for Tri-Mode NVMe/SATA/SAS drives
Module réseau Optional OCP 3.0 module
Refroidissement Enhanced air cooling based on CPU TDP
Gestion ASUS ASMB11-iKVM remote control

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Détails du produit

ASUS ESC8000A-E12P Dual AMD EPYC GPU Server: The Dual-Vendor Case, the Inference-Fleet Design, and Where It Fits Among the Catalog's PCIe Platforms

This catalog carries three PCIe GPU platforms, and each answers a different buyer. The Supermicro SYS-741GE-TNRT is the 1-to-4 GPU entry. The Supermicro SYS-522GA-NRT is the 8x universal node for RTX PRO 6000 and L40S visual-AI work. This ASUS is the third answer, and its distinction is vendor freedom: it is the only platform here that runs NVIDIA or AMD accelerators. The dual-vendor case. The ESC8000A-E12P takes up to eight dual-slot PCIe GPUs and scales them two ways, NVIDIA cards over NVLink Bridge or AMD Instinct over Infinity Fabric Link. That matters because accelerator choice should follow the workload and the procurement reality, not the server you happened to buy. A team standardizing on AMD Instinct, or one that wants the option open, gets a platform that does not foreclose it. The inference-fleet design. These eight GPUs sit on PCIe, not a shared NVSwitch baseboard, so they run as eight independent accelerators rather than one tightly-coupled training mesh. That is the right architecture for inference serving, rendering, and a large class of HPC, where each GPU handles its own work and chassis density is the goal. A dual AMD EPYC 9004 host scaling to 256 cores feeds them, 12-channel DDR5 carries the bandwidth, and 13 PCIe 5.0 slots leave room for fabric NICs and storage beyond the GPUs. Independent CPU and GPU airflow tunnels hold a fully loaded 4U stable under sustained load, and up to four 3000W Titanium supplies power it. Where it fits, and when to look elsewhere. Choose this for vendor flexibility or independent-GPU fleets that grow card by card, with eight Tri-Mode bays for storage and ASMB11-iKVM for management. When the workload is distributed training that needs all GPUs synchronized, the catalog's HGX systems and their NVSwitch fabric are the right tool, a routing the quote conversation makes honestly. Every unit is configured to order, tested, and shipped worldwide DDP with duties handled, with hosting in MillionMiner's own data centers available as the alternative.

ASUS ESC8000A-E12P: The Vendor-Agnostic 8-GPU Server

This is the GPU server you buy when you do not want your accelerator vendor decided by your chassis. The ESC8000A-E12P supports up to eight dual-slot PCIe GPUs, NVIDIA cards bridged over NVLink or AMD Instinct over Infinity Fabric Link, which makes it the one platform in this catalog open to both. The design is built for independent GPU work rather than fabric-bound training. Eight cards each run their own job, fed by a dual AMD EPYC 9004 host scaling to 256 cores, 12-channel DDR5, and 13 PCIe 5.0 slots, with independent CPU and GPU airflow tunnels keeping a fully loaded 4U chassis thermally stable. That suits inference serving, rendering, and HPC, where GPUs do not need to talk to each other and density per chassis is what matters. It scales the way fleets actually grow: start with the GPU count you need and populate toward eight as demand rises, with eight Tri-Mode bays for flexible storage and ASMB11-iKVM for remote management. Configured to your GPU choice and shipped worldwide DDP by MillionMiner.

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ASUS ESC8000A-E12P: Eight PCIe GPUs, NVIDIA or AMD

Most 8-GPU servers lock you to one vendor's accelerator. This one does not. The ESC8000A-E12P takes up to eight dual-slot PCIe GPUs from either camp, NVIDIA paired over NVLink Bridge or AMD Instinct over Infinity Fabric Link, on a dual EPYC 9004 host with up to 256 cores. It is a 4U inference and HPC fleet box: eight GPUs that each run their own workload, fed by 13 PCIe 5.0 slots and independent CPU and GPU airflow. Configured and shipped worldwide DDP by MillionMiner.

NVIDIA or AMD, One Server

The only platform here open to both, NVIDIA over NVLink Bridge or AMD Instinct over Infinity Fabric Link. Accelerator choice follows the workload, not the chassis.

Eight Independent PCIe GPUs

A 4U fleet box for inference, rendering, and HPC, where each GPU runs its own job and density per chassis is the point.

256 EPYC Cores, 13 PCIe 5.0 Slots

Dual AMD EPYC 9004 and 12-channel DDR5 feed the GPUs, with slots to spare for fabric NICs and storage.

Foire aux questions

Questions fréquemment posées

Yes, and that is its defining feature. It supports up to eight dual-slot PCIe GPUs and scales them either way, NVIDIA cards paired over NVLink Bridge or AMD Instinct accelerators over Infinity Fabric Link. It is the only server in this catalog open to both vendors, so your accelerator choice stays a workload decision rather than one your chassis made for you.

Any dual-slot PCIe accelerator, active or passive, up to eight of them, which covers NVIDIA RTX PRO 6000 Blackwell, L40S, and H100 PCIe, along with AMD Instinct cards. The exact models and whether they run active or passive cooling are confirmed with your quote, since the optimal pick depends on your workload.

Two reasons. PCIe lane budget, since eight GPUs plus 13 expansion slots need the lanes two EPYC 9004 sockets provide, and preprocessing, since eight independent GPUs each need data prepared and fed. The 12-channel DDR5 per socket keeps that pipeline from starving the accelerators.

Primarily inference and independent-GPU HPC. The GPUs sit on PCIe rather than a shared NVSwitch baseboard, so they run as eight separate accelerators, ideal for serving, rendering, and parallel HPC where cards do not synchronize. For distributed training that needs all GPUs coupled at fabric speed, the catalog's HGX systems are the right choice instead.

Eight carry the GPUs; the remainder take high-speed fabric NICs, additional storage controllers, or DPUs. That headroom is unusual at this GPU count and is what lets the platform serve as a fleet node with proper networking rather than a GPU box with no room left for the rest of the build.

Yes. Populate the GPU count you need now and grow toward eight as demand rises, adding NVIDIA cards in bridged pairs or Instinct cards as your deployment scales. This pay-as-you-grow path is a core reason to choose a PCIe platform over a fixed eight-GPU baseboard.

They are Tri-Mode, accepting NVMe, SATA, or SAS drives in the same bays, so you can run an all-NVMe dataset tier, mix in SATA capacity, or use SAS, without committing to one interface up front. The fit-out is specified with your quote.

Up to four 3000W Titanium redundant supplies, sized to your GPU selection, since eight accelerators plus a dual-EPYC host is a substantial draw. The exact PSU configuration is confirmed on quote, and MillionMiner advises on the rack power your build requires.

Different architectures for different work. The HGX platforms wire eight GPUs into one NVSwitch mesh for coupled training; this ASUS keeps eight GPUs independent on PCIe for inference and HPC, with the bonus of vendor choice. If your GPUs need to act as one, go HGX; if they each run their own workload, this is the more flexible and economical answer.

Submit your workload and GPU preference through the quote form. A MillionMiner specialist confirms the GPU configuration, host, storage, power, and warranty, then the delivery plan. Every unit is tested before shipment and delivered worldwide DDP with duties and customs handled, with hosting in MillionMiner's own data centers available as the alternative.