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MAXSUN Intel Arc PRO B60 Dual 48G Turbo Graphics Card AI Computing Accelerator for Model Inference and Deep Learning Local Deployment Support for Lobster Farming
MAXSUN•graphics card

MAXSUN Intel Arc PRO B60 Dual 48G Turbo Graphics Card AI Computing Accelerator for Model Inference and Deep Learning Local Deployment Support for Lobster Farming

CNÂ¥12,999.00
SKU: 100306655304
Status:In Stock (6)
ID: 100316295372
Weight: 1515.00 g
Dims:404x218x85 mm

Specifications

Graphics card model
Pro B60
Chipset
Intel
Port Type
PCIe 5.0

Variants / Sale Attributes

Model: [Double Core] 48G

Package Contents

Graphics card *1

Product Description

Overview

Brand
MAXSUN
Product Series
MAXSUN Intel Arc Pro B60 Dual 48 G Turbo Graphics Card

Dual GPU design with 48GB GDDR6 large video memory

PCIe 5.0 x8 + PCIe 5.0 x8 interface for high bandwidth and powerful computing performance

Additional details

Triple cooling system
turbo fan cooling, large vapor chamber heat spreader, and metal backplate for efficient heat dissipation

Dual-slot width design suitable for multi-GPU synchronous computing environments

Optimized software ecosystem with native support for PyTorch, ISV support, IPEX-LLM inference engine, and compatibility with vLLM

Supports Intel LLM-Scaler for large language model (LLM) acceleration

Compatible with various LLM models including FP8, INT4 precision and models such as DeepSeek-R1 series, Qwen3 series, LLMMOE, multi-modal and embedding models

Supports up to 16-card interconnection (Battlematrix) with total memory up to 384GB for smooth operation of 100B+ parameter models

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Suitable for AI content creation including 3D modeling, image/video generation, and speech generation

Intel Arc Pro drivers optimized for professional creative workflows such as video editing and 3D design rendering

Enhanced performance and stability for applications like Adobe Premiere Pro, DaVinci Resolve Studio, Blender, Autodesk 3ds Max, Cinema 4D

Consumer-grade platforms with efficient operation

Windows and Linux based LLM software stacks for local deployment of mainstream open-source models including DeepSeek, Qwen3-32B, Qwen3-VL, etc.

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End-to-End Request Latency (E2E Request Latency)

Time to First Token (TTFT)

Inter-Token Latency (Time Per Output Token Latency)

Request Prompt Length Heatmap

Finish Reason

Token Throughput

Scheduler State

Cache Utilization

Request Generation Length Heatmap

Queue Time

Prefill & Decode Time

Max Generation Tokens in Sequence Group

Additional details

https
//github.com/intel/llm-scaler/blob/main/vllm/README.md
https
//www.kdocs.cn///cpeJTl4cWwDY
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