ASUS UGen Intel Arc Pro B70 GPU Announced, Available In Malaysia This December

Low Boon Shen
2 Min Read

ASUS has announced the UGen Intel Arc Pro B70 32GB, an AI accelerator card built for local agentic AI workloads on desktops and workstations – it features 32GB of ECC GDDR6 memory with an inference-optimized architecture, aiming to bring cloud-scale AI capabilities in-house without the recurring costs of cloud APIs.

ASUS UGen Intel Arc Pro B70 32GB

ASUS UGen Intel Arc Pro B70 GPU Announced, Available In Malaysia This December
ASUS UGen Intel Arc Pro B70 GPU Announced, Available In Malaysia This December

The card is built on Intel’s Xe2 architecture, featuring 32 Xe-Cores and 256 XMX AI engines. It delivers up to 367 TOPS of INT8 AI performance, with a maximum GPU clock of up to 2800MHz. Memory bandwidth reaches up to 608GB/s over a 256-bit interface, and the card connects via PCIe 5.0 x16.

A single card supports most large language models under 27 billion parameters and enables a context window of up to 128K tokens when running Llama 3.1 8B. Multi-card scaling allows the system to fit larger models: dual-card configurations provide 64GB of combined VRAM, and four-card setups reach 128GB, with dual-card systems already proven to run 80B-class models at 43.4 tokens per second.

The ASUS UGen Arc Pro B70 is supported by a broad software stack that includes Intel LLM Scaler, vLLM XPU, llama.cpp (SYCL and Vulkan), Ollama, Intel OpenVINO and oneAPI, PyTorch XPU, and ComfyUI for image generation. LLM Scaler includes built-in INT4/FP8 online quantization, removing the need for external CUDA-based quantization tools. Verified compatible models include Llama 3.1/3.2 (8B to 70B), Qwen 3.x, DeepSeek-R1 Distill (7B to 70B), Mistral and Mixtral, OpenAI gpt-oss (20B and 120B), Whisper-large-v3, and InternVL3.5.

The ASUS UGen Intel Arc Pro B70 32GB will be available from early December 2026 at a recommended retail price of RM8,459.

Pokdepinion: Most businesses is probably going to happily pay for cloud subscriptions, but in cases where data is sensitive, this might be an option to look for.

Share This Article
Leave a Comment

Leave a Reply

Your email address will not be published. Required fields are marked *