
W638
Powered by NVIDIA Thor T5000/T4000 modules, this high-performance workstation is purpose-built for Generative AI. Delivering exceptional AI computing power, it enables smooth deployment and execution of large language models (LLMs), multimodal models, and AI agent applications such as OpenClaw.
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- Equipped with Jetson AGX THOR module
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- Up to 128GB memory with a bandwidth of up to 273GB/s
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- Effectively alleviates memory bottlenecks during large model operation
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- Up to 2070 FP4 TFLOPs of computing power
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- 14-core Arm® Neoverse®-V3AE 64-bit
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- 2 x 10GbE RJ45
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- 4 x USB3.2 Type-A, 1 x USB3.0 Type-C
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- Supports WiFi6 and Bluetooth
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- 2T NVME SSD
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- Compact design, plug-and-play
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- Local deployment, all data and models are processed locally without uploading to the cloud
W638 | |||
System | CPU | 12-core Arm® Neoverse®-V3AE 64-bit | 14-core Arm® Neoverse®-V3AE 64-bit |
GPU | 1536-core NVIDIA Blackwell architecture GPU with 64 fifth-gen Tensor Cores | 2560-core NVIDIA Blackwell architecture GPU with fifth-gen Tensor Cores | |
Multi-Instance GPU (MIG) with 6 TPCs | Multi-Instance GPU (MIG) with 10 TPCs | ||
Memory | 64GB | 128GB | |
AI | 1200 Sparse FP4 TFLOPs | 2070 Sparse FP4 TFLOPs | |
I/O | USB | 4 x USB3.2 Type-A,1 x USB3.0 Type-C | |
LED | 1 x LED(HDD LED) | ||
Key | 1 x Power | ||
Video | GPU | NVIDIA Blackwell GPU | |
Output | 2 x HDMI2.1,Up to 4096 x 2160 @60Hz | ||
Storage | Storage | NVME M.2(1T/2T SSD ) | |
Network | 有线网络 | 2 x 10GbE RJ45 | |
WIFI | WiFi5/6 | ||
Bluetooth | BT 5.3 | ||
Power & Comsuption | Power Input | 24V DC IN | |
Comsuption | 200W | ||
OS | OS Support | NVIDIA Ubuntu24.04 (Jetpack7.1) | |
Watchdog | 255 levels of programmable seconds/minutes | ||
Installation method | Install | Standard desktop installation | |
Environment | Temp. | -20~40℃ | |
Humidity | 10%~90% non-condensing | ||
Weight & Size | Weight | 1.3Kg | |
L x D x H | 130*125*75mm | ||
From initial concept to final development, our expert product engineers deliver tailored hardware and software solutions—ready to assist you immediately.
