ASRock Intel Arc Pro B70 Passive 32GB GDDR6 Graphics Card
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The ASRock Intel Arc Pro B70 Passive 32GB GDDR6 Graphics Card is engineered to power the next generation of workstations, enabling new classes of professional workloads. It excels in AI, data processing, and advanced visualization, fundamentally reshaping how modern workstations perform.
Key Features at a Glance
- Scales power and memory by combining multiple GPUs.
- Executes AI models in Linux, supporting 100+ GB of VRAM.
- Offers multi-GPU AI support for larger models and faster processing.
- Maintains data privacy by running inference directly on the workstation.
- Shortens iteration cycles for development by keeping data local.
Optimized for Motion Designers
Deliver high-quality visuals faster with AI-powered rendering and effects.
Empowering Animators
Accelerate 2D/3D workflows with responsive, AI-simplified creative tools.
Essential for Developers
Build and test large models locally with private, fast iteration.
Supporting Engineers
Speed up complex visualizations and precise linework.
Technical Specifications
| Graphics Engine | Intel Arc Pro B70 GPU |
| Bus Standard | PCI Express5.0 x16 |
| DirectX | 12 Ultimate |
| OpenGL | 4.6 |
| Memory | 32GB GDDR6 |
| Engine Clock | GPU Clock: 2540 MHz |
| Intel XMX Engines | 256 |
| Compute Units | 32 |
| Memory Speed | 19 Gbps |
| Memory Interface | 256-bit |
| Resolution | Digital Max Resolution: 7680 x 4320 |
| Interface |
1 x DisplayPort 2.1 (Primary, up to UHBR13.5) 3 x DisplayPort 2.1 (up to UHBR10) |
Frequently Asked Questions
Q: What is the primary purpose of this graphics card?
A: The ASRock Intel Arc Pro B70 Passive 32GB GDDR6 Graphics Card is designed to power the next generation of workstations, enabling new classes of professional workloads such as AI, data, and advanced visualization.
Q: How does this graphics card support scaling and large AI models?
A: It allows for combining the power and memory of multiple GPUs to execute AI models in Linux that can utilize over 100+ GB of VRAM, with seamless multi-GPU AI support.
Q: What are the benefits of processing data locally with this card?
A: Running inference directly on your workstation shortens iteration cycles and helps maintain data privacy.
