Computer Graphics Card INTEL Data Center GPU Max 1100 1350 1550 Subsystem Gaming Graphics Card 

Computer Graphics Card INTEL Data Center GPU Max 1100  1350 1550 Subsystem Gaming Graphics Card

Here’s a detailed comparison table for the GPUs: Data Center GPU Max 1100, Data Center GPU Max 1350, Data Center GPU Max 1550, and Data Center GPU Max Subsystem. These GPUs are part of Intel’s Data Center GPU Max Series, designed for high-performance computing (HPC), AI, and machine learning workloads in data centers.

1. Intel Data Center GPU Max 1100

• Architecture: Built on Intel’s Xe-HPC architecture, optimized for efficiency and performance in entry-level data center workloads.
• Performance: Features 128 Xe Cores and 128 Ray Tracing Units, delivering ~10 TFLOPs of FP32 performance and ~5 TFLOPs of FP64 performance.
• Memory: Equipped with 16GB of HBM2e memory, providing high bandwidth for data-intensive workloads.
• Memory Bandwidth: Offers ~1 TB/s, ensuring fast data access and processing.
• TDP: Operates at a ~300W TDP, making it suitable for smaller-scale data center deployments.
• Use Case: Designed for entry-level HPC, AI, and ML workloads, targeting smaller data centers and research institutions.
• Key Feature: A cost-effective GPU for entry-level data center workloads, offering a balance of performance and efficiency.

2. Intel Data Center GPU Max 1350

• Architecture: Based on Intel’s Xe-HPC architecture, offering enhanced performance for mid-range data center workloads.
• Performance: Features 160 Xe Cores and 160 Ray Tracing Units, delivering ~13 TFLOPs of FP32 performance and ~6.5 TFLOPs of FP64 performance.
• Memory: Comes with 16GB of HBM2e memory, providing ample memory for medium-scale workloads.
• Memory Bandwidth: Offers ~1.2 TB/s, ensuring smooth performance in demanding applications.
• TDP: Operates at a ~350W TDP, making it suitable for medium-scale data center deployments.
• Use Case: Ideal for mid-range HPC, AI, and ML workloads, targeting medium-sized data centers and research institutions.
• Key Feature: A mid-range GPU offering excellent performance for medium-scale data center workloads.

3. Intel Data Center GPU Max 1550

• Architecture: Built on Intel’s Xe-HPC architecture, targeting high-end performance for large-scale data center workloads.
• Performance: Features 192 Xe Cores and 192 Ray Tracing Units, delivering ~15 TFLOPs of FP32 performance and ~7.5 TFLOPs of FP64 performance.
• Memory: Equipped with 16GB of HBM2e memory, providing high bandwidth for large-scale workloads.
• Memory Bandwidth: Offers ~1.5 TB/s, ensuring ultra-fast data processing.
• TDP: Operates at a ~400W TDP, making it suitable for high-performance data center deployments.
• Use Case: Designed for high-end HPC, AI, and ML workloads, targeting large data centers and research institutions.
• Key Feature: A high-end GPU offering top-tier performance for large-scale data center workloads.

4. Intel Data Center GPU Max Subsystem

• Architecture: Based on Intel’s Xe-HPC architecture, offering a scalable solution for flexible data center deployments.
• Performance: Configurable with 128-192 Xe Cores and 128-192 Ray Tracing Units, delivering ~10-15 TFLOPs of FP32 performance and ~5-7.5 TFLOPs of FP64 performance.
• Memory: Comes with 16-32GB of HBM2e memory, providing flexible memory capacity for various workloads.
• Memory Bandwidth: Offers ~1-1.5 TB/s, ensuring smooth performance in scalable deployments.
• TDP: Operates at a ~300-400W TDP, making it suitable for flexible and scalable data center deployments.
• Use Case: Designed for scalable HPC, AI, and ML workloads, targeting data centers with varying workload demands.
• Key Feature: A scalable GPU solution offering flexibility and performance for diverse data center workloads.