Intel Xeon Phi 7290 Boasts 72 Processing Cores – Fastest Chip Introduced By The Company With Other Model Details Included

Intel Xeon Phi 7290 Boasts 72 Processing Cores – Fastest Chip Introduced By The Company With Other Model Details Included

Intel Xeon Phi 7290 is the most powerful chip introduced by Intel and the leading manufacturer of desktop and server processors did not pull its punches when deciding to take a jab at its competitors. Here are all the details that you wanted to know.

Intel Xeon Phi 7290 Features 72 Cores Running At A Clock Speed Of 1.5GHz – Its Also Intel’s Most Expensive Chip

Intel Xeon Phi 7290 runs at a base clock speed of 1.5GHz and features 72 processing cores, which is Intel’s fastest and might we add, most expensive chip to date. According to the company, the Xeon Phi will commence shipment from the month of September, and will also carry a massive price tag of $6,294. With these powerful and efficient cores with ultra-wide vector capabilities, the Intel Xeon Phi processor raises the bar for highly parallel computing and because it does not rely on the PCIe bus, the processor is capable of handling a wide variety of workloads and configurations that are not supported by accelerators.


According to info taken from Intel’s press kits, the Integration of 16GB of high-bandwidth memory delivers up to 490GB/s of memory bandwidth for memory-bound workloads, and the available dual-port Intel Omni-Path Fabric further reduces solution cost, power and space utilization. In addition to the Intel Xeon Phi 7290, the company also announced three more processors, whose details and primary perk of owning them have been detailed in the table below.


The new chips are packaged similar to graphic cards and can function as primary processors or co-processors. The packaging of these chips indicate that Intel is attempting to take on NVIDIA in the HPC market. In supercomputers and servers, the chip will definitely serve as a co-processor to Xeon chips as the primary CPU. These chips can also be installed as a primary processor in workstations. Unfortunately, as expensive as these processors might be, they are not targeted to the gaming crowd because they have been designed to run scientific applications with their Atom cores and vector processors.


Apart from supercomputers, Xeon Phi are also used in data centers for machine learning and artificial intelligence since they are faster and more scalable than GPUs for machine learning models in servers.

Intel Xeon Phi specificationsNumber of coresClock speed (GHz)Memory Memory type and clock speedPower consumption
Xeon Phi 7290
(delivers best performance per node)
721.516GB at 7.2GT/s384GB at 2400MHz245W + 15W fabric
Xeon Phi 7250
(delivers best performance per watt)
681.416GB at 7.2GT/s384GB at 2400MHz245W + 15W fabric
Xeon Phi 7230
(delivers best memory bandwidth per core)
641.316GB at 7.2GT/s384GB at 2400MHz245W + 15W fabric
Xeon Phi 7210
(delivers best value for money)
641.316GB at 6.4GT/s384GB at 2133MHz245W + 15W fabric

Given below are some of the features of the Intel Xeon Phi family.

Connectivity: Intel Xeon Phi processors now offer the ability to deploy Intel’s next generation fabric architecture, Intel Omni-Path, as a standard, integrated option. The combination provides the foundation for powerful and efficient data traffic control by using an advanced “on-load” design that cost-effectively maximizes performance.

Intel Omni-Path architecture automatically scales to tens of thousands of nodes with extremely low power consumption, making the solution ideal for increasingly demanding HPC and analytics workloads.

Storage: Intel Solutions for Lustre software is a parallel filesystem purpose-built for HPC to provide fast, “massively scalable storage software” for accelerating performance on complex workloads.

Memory: MCDRAM is the integrated memory on Intel Xeon Phi processors, providing up to 5x the bandwidth of DDR4 to deliver breakthrough performance for memory-bound workloads.

Software: Intel HPC Orchestrator simplifies the complexity of installation, configuration and ongoing maintenance of implementing an HPC software stack.

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