SPARKLE Intel Arc Pro B65 32GB GDDR6 Blower Graphic Card

SPARKLE Intel Arc Pro B65 32GB GDDR6 Blower Graphics Card is a professional workstation GPU powered by Intel Xe2 (Battlemage) architecture. Featuring 32GB GDDR6 memory, 160 Intel XMX AI engines, 197 INT8 TOPS AI performance, PCIe Gen5 x16, and an efficient blower cooling system, it is ideal for AI inference, local LLMs, CAD, rendering, engineering simulations, virtualization, and enterprise workstation deployments.

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SPARKLE Intel Arc Pro B65 32GB GDDR6 Blower Graphic Card

Features

  • Professional Intel Arc Pro B65 workstation GPU.
  • 32GB GDDR6 memory for AI, engineering, and content creation.
  • Built on the latest Intel Xe2 (Battlemage) architecture.
  • 160 Intel XMX AI Engines accelerate AI inference and machine learning.
  • Delivers up to 197 INT8 TOPS AI performance.
  • High-speed PCIe Gen5 x16 interface.
  • Blower cooling design optimized for multi-GPU workstations and rackmount systems.
  • 200W Total Board Power balances performance and efficiency.
  • Supports 4 × DisplayPort 2.1 outputs for high-resolution multi-display environments.
  • Hardware Ray Tracing and DirectX 12 Ultimate support.
  • AV1 hardware encode/decode for professional media workflows.
  • Enterprise-grade drivers optimized for AI, CAD, BIM, rendering, virtualization, and workstation applications.

Specifications

Product Name SPARKLE Intel Arc Pro B65 32GB GDDR6 Blower Graphic Card
Manufacturer SPARKLE
GPU Intel Arc Pro B65
GPU Architecture Intel Xe2 (Battlemage)
Graphics Memory 32GB GDDR6
Memory Interface 192-bit
Memory Bandwidth Up to 608 GB/s
AI Engines 160 Intel XMX AI Engines
Xe Cores 20
Ray Tracing Units 20
AI Performance Up to 197 INT8 TOPS
Graphics Clock Up to 2400 MHz
PCI Express Interface PCIe 5.0 x16
Cooling Blower Active Cooling
Form Factor Dual-Slot
Total Board Power (TBP) 200W
Display Outputs 4 × DisplayPort 2.1
DirectX Support DirectX 12 Ultimate
OpenGL Support OpenGL 4.6
AV1 Hardware Encode/Decode Yes
Target Workloads AI Inference, LLMs, CAD, 3D Rendering, Engineering, Virtualization