Intel Xeon Max 9470C

The Intel Xeon Max 9470C is a next-generation high-performance processor engineered specifically for memory-bound workloads in HPC, AI, and scientific simulation environments. As part of Intel’s revolutionary Xeon Max Series, the 9470C incorporates 64GB of on-package HBM2e memory, drastically increasing memory bandwidth and reducing latency — enabling advanced compute tasks like quantum simulation, AI model training, fluid dynamics, genome analysis, and weather prediction to reach new levels of speed and efficiency.

As a top-tier China supplier, Telefly is proud to offer global access to the Intel Xeon Max 9470C, with flexible wholesale pricing, customized OEM packaging, global delivery, and special buy discount plans for research institutions, integrators, and data center builders. Our transparent pricelist and support for extended years warranty ensure you get not just the best CPU technology, but also unmatched supply chain reliability and after-sales service.

Intel Xeon Max 9470C – Technical Specifications:

Cores / Threads: 52 cores / 104 threads

Base Frequency: 1.90 GHz

Max Turbo Frequency: Up to 3.60 GHz

L3 Cache: 97.5MB

Integrated HBM: 64GB HBM2e (high-bandwidth memory)

Memory Bandwidth: ~1 TB/s via on-chip HBM2e

TDP: 350W

Architecture: Intel Sapphire Rapids HBM (Xeon Max Series)

Socket Compatibility: LGA4677 (Platform integration with Intel 4th Gen Scalable family)

Key Benefits & Performance Advantages:

HBM-Driven Bandwidth:

With 64GB of HBM2e built directly into the package, the Xeon Max 9470C dramatically improves bandwidth-sensitive workloads — ideal for simulations, vector-intensive applications, AI model training, and molecular dynamics.

Simplified System Design:

By reducing reliance on external DRAM channels, the Xeon Max series allows for simpler server architecture with lower latency and reduced data movement overhead.

AI & HPC Ready:

Full support for AVX-512, BFLOAT16, and AMX instructions makes the 9470C optimized for AI inference, deep learning frameworks (TensorFlow, PyTorch), and scientific workloads that require both compute and memory throughput.

Energy-Efficient Compute:

Designed to balance power draw and compute density, it’s ideal for modern data centers aiming to reduce their carbon footprint without sacrificing performance.

Integrated with OneAPI and Intel HPC Toolchains:

Easily deploy in clusters using Intel’s HPC stack — making it a favorite in supercomputing, defense, and national research labs.

Industry Use Cases

Scientific Research & Supercomputing Labs

Used in climate modeling, astrophysics, seismic simulation, and computational chemistry.

Genomics & Life Sciences

Accelerates genome sequencing, protein structure simulation, and large-scale bioinformatics workflows.

AI & Machine Learning Infrastructure

Serves as a powerful CPU backend for AI pipelines, model inference, and transformer-based architectures.

Government & Defense

Ideal for weather prediction, surveillance analytics, cryptographic research, and secure data analysis.

Engineering & Manufacturing

Enhances fluid dynamics simulation (CFD), structural analysis, and engineering design computation for automotive, aerospace, and energy industries.