KR6268

6U 8-GPU AI Training Server supporting NVIDIA H200 NVL, NVIDIA RTX PRO™ 6000 Blackwell Server Edition GPUs

Breakthrough Performance for Enterprise AI and LLMs in the Data Center

The KR6268 AI server supports 8 NVIDIA PCIe GPUs, including NVIDIA H200 NVL and the latest NVIDIA RTX PRO™ 6000 Blackwell Server Edition, delivering powerful computing capabilities and high-bandwidth memory well-suited for a wide range of applications requiring large-scale parallel computing and data processing.

The Universal Data Center Platform for Enterprise AI

Accelerate enterprise workloads from agentic AI and LLM inference to industrial AI and digital twins with up to eight NVIDIA RTX PRO™ 6000 Blackwell Server Edition GPUs delivering breakthrough performance and energy efficiency of the NVIDIA Blackwell architecture.

Up to 30 PFLOPS

FP4 AI Performance

Up to 3 PFLOPS

RTX Graphics Performance

Up to 800 GB/s

All-to-All Bandwidth

Applications Supported

AI & Deep Learning

Massive model training, real-time inference for image and speech recognition

High Performance Computing

Scientific computing, engineering simulations, data analysis

Advanced Graphics

Graphics rendering, immersive experiences in virtual and augmented reality

Available Models

Model KR6268-X3
Form Factor 6U rack server
Processor 2x Intel ® Xeon® 6 processors (6500P/6700P-Series 2S), TDP up to 350W
Memory 32x DDR5 6400MT/s DIMMs
GPU 8x PCIe GPUs
Supports NVIDIA RTX PRO™ 6000 Blackwell Server Edition, NVIDIA H200 NVL
Storage 12x 3.5’’/2.5’’ SAS 3.0/SATA HDD/NVMe
24x 2.5’’ SAS 3.0/SATA HDD
Up to 16x E3.S/NVMe
PCIe 8x double-width FHHL PCIe 5.0 GPU +
2x PCIe 5.0 x16 slots + 1x PCIe 5.0 x8 slots OR
5x PCIe 5.0 x16 slots + 1x internal PCIe 5.0 x16 slot
Cooling Air cooling
Fans 15x 8086 hot-swap fans (10x internal, 5x external)
Management DC-SCM module with AST2600
Power Supply 3200W dual-input 265mm PSU
3000W, 2700W, 2200W single-input 265mm PSU
Supports 2+2 / 3+1 / 4+4 / 4+1 Redundancy
Supports N+N, N+1, and non-redundant PSU configurations (switchable via command-line)
Default setting is N+N
Dimensions 482mm (W) x 263mm (H) x 880mm (D)

Technical Resources

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