AI EDGE COMPUTERS

KCO-6000-ARL

A workstation that clocks in where GPUs fear to.

Intel Core Ultra Series 2 with PCIe Gen 5 expansion and a 600 W GPU envelope — industrial, not office.

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Gen 5PCIe expansion

600 WGPU support

96 GBDDR5 ECC

EVERY ANGLE

Look closer.

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KCO-6000-ARL view 4

UNDER THE FINS

The spec sheet.
No asterisks.

Intel® Core™ Ultra 9/7/5 Series processor support, max. 65W TDP
Intel® W880 chipset platform
2x DDR5 4800/5600MHz SO-DIMM, up to 96GB, non-ECC/ECC support
3x 2.5GbE LAN ports with Intel® I226 controllers; LAN1 supports iAMT
2x DP++ and 1x HDMI for triple independent display output
6x USB 3.2 Gen 2 Type-A ports and 4x COM ports
1x M.2 M Key, 1x M.2 E Key, 1x M.2 B Key with SIM holder, and 1x 2.5” SATA drive bay
Riser card options for PCIe Gen 5 / Gen 4 expansion
DC 24–48V input with OVP, OCP, and reverse protection
Optional 600W AC/DC GPU Power Supply
170(W) x 216(D) x 385(H) mm

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ON-DEVICE AI

What it can run.

On-device inference with Intel Core Ultra + RTX GPU. Memory is the ceiling — here's where KCO-6000-ARL lands.

RTX-class (~700 TOPS)AI performance

up to 48 GBdiscrete GPU

6model classes on-box

Llama 3.2 3B Assistant · ~3 GB

Qwen2.5-VL 7B Vision · ~6 GB

Llama 3.1 8B General · ~6 GB

Qwen2.5 14B Reasoning · ~10 GB

Qwen2.5 32B Agentic · ~19 GB

Llama 3.3 70B Frontier · ~40 GB

DeepSeek-V2 236B (MoE) Datacenter · ~65 GB

Runnable at 4-bit quantization within the platform's memory budget. Larger models fit on higher-memory Premio AI computers below.

THE LINEUP

More AI computers.

WCO-6000-THR

WCO-6000-THR

NVIDIA Jetson AGX Thor

AI perf: 2,070 FP4 TFLOPS
Memory: 128 GB
Runs to: DeepSeek-V2 236B (MoE)

Explore WCO-6000-THR →

LLM-3U-AM5

LLM-3U-AM5

AMD Ryzen + dual GPU

AI perf: Dual-GPU inference
Memory: up to 96 GB
Runs to: DeepSeek-V2 236B (MoE)

Explore LLM-3U-AM5 →

JCO-6000-ORN

JCO-6000-ORN

NVIDIA Jetson AGX Orin

AI perf: 275 INT8 TOPS
Memory: 64 GB
Runs to: Llama 3.3 70B

Explore JCO-6000-ORN →

WCO-3000-ORN

WCO-3000-ORN

NVIDIA Jetson Orin NX

AI perf: 157 INT8 TOPS
Memory: 16 GB
Runs to: Qwen2.5 14B

Explore WCO-3000-ORN →

VCO-6000

VCO-6000

Intel Core (machine vision)

AI perf: CV / small-model
Memory: system RAM
Runs to: Llama 3.1 8B

Explore VCO-6000 →

Put it to work.

Tell us the workload — we’ll configure the KCO-6000-ARL around it.

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