ASUS announced the UGen Intel® Arc™ Pro B70 32GB, an economical graphics card designed for the fast-growing world of local agentic AI. As large language models (LLMs) and multi-agent AI workflows expand from the cloud onto desktops and workstations, the ASUS UGen B70 answers the market’s most pressing demand: ample VRAM at an accessible price. Pairing 32GB of GDDR6 ECC memory with an inference-optimized architecture delivers the optimal deployment choice for running AI locally, privately, and economically.
Designed for the rise of local agentic AI
Modern AI workloads can be memory-hungry. Long-context reasoning dramatically inflates KV-cache usage, and multi-agent deployments run several models simultaneously, multiplying VRAM requirements. Once VRAM runs short, data offloads to host memory, and inference performance can drop by up to 90%. This card’s 32GB of ECC-protected GDDR6 memory can be enough to keep demanding models entirely local. A single ASUS UGen B70 supports most models under 27 billion parameters and enables a context window of up to 128K tokens with Llama 3.1 8B, scaling to 64GB in dual-card configurations and 128GB in quad configurations to meet the AI deployment needs of SMBs and large enterprises.
A mature software ecosystem
The ASUS UGen B70 is supported by a broad and rapidly maturing AI software stack, including Intel LLM Scaler and vLLM XPU, llama.cpp (SYCL and Vulkan), Ollama, Intel OpenVINO and oneAPI, PyTorch XPU, and ComfyUI for image generation. Verified models span Llama 3.1/3.2 (8B–70B), Qwen 3.x, DeepSeek-R1 Distill (7B–70B), Mistral and Mixtral, OpenAI gpt-oss (20B and 120B), Whisper-large-v3, and InternVL3.5 — with dual-card configurations proven to run 80B-class models at 43.4 tokens per second. LLM Scaler’s built-in INT4/FP8 online quantization removes the dependency on external CUDA-based quantization tools, and currently known ecosystem limitations do not affect near-term commercial deployment.
Designed for AI adoption at every scale
The ASUS UGen B70 addresses three key user segments. For prosumers and independent AI developers, a single 32GB card breaks through the resource ceiling that mainstream 16GB cards impose on larger models. For small businesses and creative studios, dual-card 64GB configurations support larger deployments while keeping sensitive data in-house. For enterprise departmental AI teams, multi-card 128GB systems dramatically reduce long-term costs compared with cloud APIs while satisfying data-compliance requirements in fields such as law, medicine, government, and finance.
Across every tier, this scalability is what makes the ASUS UGen B70 the building block of an agent computer – a system designed from the ground up to run AI agents locally.
About ASUS
ASUS (2357.TW) is an innovative technology leader delivering the world’s most comprehensive AI solutions across Infrastructure, Physical AI, AI PC/Devices, and Engineering the AI Advantage. Guided by its “Ubiquitous AI. Incredible Possibilities” strategy, ASUS is bringing enterprise-to-edge AI to life. The ASUS portfolio also includes the ROG and ProArt sub-brands, which serve gamers and creators worldwide.
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