COTT AX series

AI & GPU servers.

From inference services
to module-scale training.

Build the system around your workload: accelerator topology, host memory, storage, networking and the power environment.

COTT AX608I, illustrative OEM configuration
COTT AX series · illustrative configuration Image credits
COTT AX408A, illustrative COTT OEM platform photograph

4U AMD GPU server

COTT AX408A

An eight-GPU PCIe platform for accelerated workloads in a 4U rack footprint.

GPU capacity
Up to 8 dual-width PCIe GPUs
Processors
1 or 2 AMD EPYC 9005 / 9004
Memory
24 DDR5 DIMM slots
Drive bays
12 hot-swap 3.5 / 2.5-inch bays
COTT AX608I, illustrative COTT OEM platform photograph

6U Intel GPU server

COTT AX608I

A direct CPU-to-GPU architecture for up to eight high-power PCIe accelerators.

GPU capacity
Up to 8 GPUs, up to 600 W each
Processors
1 or 2 Intel Xeon Scalable, 4th / 5th gen
Memory
32 DDR5 DIMM slots
Drive bays
12 hot-swap 3.5 / 2.5-inch bays
COTT AX808A, illustrative COTT OEM platform photograph

AMD high-power GPU server

COTT AX808A

An AMD EPYC platform with direct PCIe GPU connectivity and wider-card configuration options.

GPU capacity
Up to 8 GPUs, up to 600 W each
Processors
Up to 2 AMD EPYC 9005 / 9004
Memory
24 DDR5 DIMM slots
Drive bays
12 hot-swap 3.5 / 2.5-inch bays
COTT AX1008A, illustrative COTT OEM platform photograph

AMD modular AI server

COTT AX1008A

An eight-accelerator module platform for large AI training and high-bandwidth computing projects.

Accelerator platform
8-GPU SXM5 or OAM 2.0 configurations
Processors
2 AMD EPYC 9005
Memory
24 DDR5 ECC RDIMM slots
Storage
Up to 16 NVMe drives

Specifications describe supported platform options, not installed components. Processors, accelerators, memory, drives, networking, software, supply timing and commercial terms are confirmed in the quotation. Photographs show illustrative configurations.

A complete configuration

Start with the workload.

Accelerator & topology

Model size, precision, training or inference, accelerator type and the communication pattern between GPUs.

Data & networking

Working-set size, dataset capacity, storage throughput and the network needed between systems.

Rack & power

Rack dimensions, service clearance, facility power, cooling and the software stack.

Request a project configuration

Complete the infrastructure.

Let’s build the next connection.

Talk to us about technology projects, distribution and research collaboration.

Contact COTT