2.4GHz-10.4GT-UPI
2.4GHz-10.4GT-UPI Xeon 20 Core Processors
The 2.4GHz-10.4GT-UPI Xeon 20 Core processors are designed for optimal performance in data centers, high-performance computing, and enterprise-grade servers. Featuring 20 cores, they deliver exceptional parallel processing capabilities and seamless multi-threading, making them ideal for demanding workloads.
Key Features
- Core Count: 20 cores with hyper-threading technology for up to 40 threads.
- Base Frequency: Operates at a stable 2.4GHz for consistent performance.
- UPI Speed: 10.4GT/s UPI bandwidth for high-speed data transfers between processors.
- Cache Memory: Enhanced L3 cache for reduced latency and faster data access.
- Scalability: Supports multi-socket configurations for scalability in enterprise environments.
- Energy Efficiency: Optimized power consumption with advanced thermal management.
Core and Thread Performance
The 20-core architecture of these processors ensures powerful multi-threading capabilities. Hyper-threading technology enables 40 threads, allowing seamless execution of complex applications, virtualization, and real-time analytics.
10.4GT UPI Bandwidth
The 10.4GT/s Ultra Path Interconnect (UPI) ensures faster communication between processors in multi-socket configurations. This high-speed interconnect reduces bottlenecks, enabling faster data processing for mission-critical applications.
Xeon 20 Core Processors
Data Center Optimization
The processors are ideal for data centers, offering unmatched scalability and efficiency. Their support for multi-socket configurations enables high-density server deployments that maximize computing power per rack unit.
High-Performance Computing (HPC)
For scientific research, simulation, and other HPC tasks, these processors deliver exceptional parallelism. Their high thread count and bandwidth optimize workloads such as molecular modeling, AI training, and weather forecasting.
Enterprise Applications
These CPUs are designed to handle ERP systems, large-scale databases, and enterprise-grade virtualization. Their reliability and security features, such as Intel SGX and AES-NI, make them a trusted choice for critical workloads.
Compatibility and Integration
Chipset and Motherboard Compatibility
The processors are compatible with the latest Intel server chipsets, ensuring seamless integration into modern server infrastructures. Compatible motherboards support advanced features like PCIe Gen4 and DDR4 memory.
Memory Support
These CPUs support DDR4 ECC memory with speeds up to 3200MT/s, ensuring data integrity and high performance. Multi-channel memory configurations provide increased bandwidth for memory-intensive applications.
Virtualization Support
With Intel VT-x and VT-d technologies, these processors excel in virtualized environments, providing low latency and high efficiency for virtual machine workloads.
Advanced Technologies
Security Enhancements
Intel's Xeon processors feature robust security technologies such as Intel SGX (Software Guard Extensions) and Intel TXT (Trusted Execution Technology), ensuring data confidentiality and secure boot processes.
Energy Efficiency
Advanced power management features like Intel Speed Shift and Enhanced Intel SpeedStep allow for dynamic scaling of power and performance, reducing operational costs in data centers.
Scalability and Future-Proofing
Multi-Socket Scalability
The processors support configurations with up to four sockets, allowing businesses to scale their computing infrastructure as needed without sacrificing performance.
PCIe Gen4 Support
With PCIe Gen4 compatibility, these CPUs support faster storage solutions, GPUs, and networking devices, providing enhanced flexibility for future upgrades.
Popular Models in the 2.4GHz-10.4GT-UPI Xeon 20 Core Category
Intel Xeon Gold Series
The Xeon Gold processors in this category offer balanced performance and scalability, ideal for mid-range servers and advanced virtualization tasks.
Intel Xeon Platinum Series
For enterprises requiring top-tier performance, the Xeon Platinum processors provide unmatched core density, memory bandwidth, and security features, making them suitable for AI and deep learning workloads.