Intel Core i9 processor 14900KF 36M Cache, up to 6.00 GHz – GPU Required – LGA 1700

• – Intel® Core™ i9 i9-14900KF
• – 36 MB Smart Cache LGA 1700
• – Processor cores: 24 64-bit
• – 192 GB DDR4-SDRAM, DDR5-SDRAM
• – Box

Intel® Gaussian & Neural Accelerator
Intel® Gaussian & Neural Accelerator (GNA) is an ultra-low power accelerator block designed to run audio and speed-centric AI workloads. Intel® GNA is designed to run audio based neural networks at ultra-low power, while simultaneously relieving the CPU of this workload.

Intel® Deep Learning Boost (Intel® DL Boost)
A new set of embedded processor technologies designed to accelerate AI deep learning use cases. It extends Intel AVX-512 with a new Vector Neural Network Instruction (VNNI) that significantly increases deep learning inference performance over previous generations.

Intel® Speed Shift Technology
Intel® Speed Shift Technology uses hardware-controlled P-states to deliver dramatically quicker responsiveness with single-threaded, transient (short duration) workloads, such as web browsing, by allowing the processor to more quickly select its best operating frequency and voltage for optimal performance and power efficiency.

Intel® Turbo Boost Technology
Intel® Turbo Boost Technology dynamically increases the processor’s frequency as needed by taking advantage of thermal and power headroom to give you a burst of speed when you need it, and increased energy efficiency when you don’t.

Idle States
Idle States (C-states) are used to save power when the processor is idle. C0 is the operational state, meaning that the CPU is doing useful work. C1 is the first idle state, C2 the second, and so on, where more power saving actions are taken for numerically higher C-states.