Colorful GeForce GTX 1650 EX 4GD6-V Graphics Card

Colorful GeForce GTX 1650 EX 4GD6-V Graphics Card

Based on the Turing architecture, the Colorful GeForce GTX 1650 EX 4GD6-V Graphics Card provides improvements in performance, memory bandwidth, and power efficiency over its predecessor supported the Pascal architecture.
The front panel of the cardboard features a spread of outputs including DisplayPort 1.4 and HDMI 2.0b. The GTX 1650 isn't almost high-resolution gaming; Computationally intensive programs can utilize the GPU's 896 cores to accelerate tasks using CUDA or other APIs.
This card features Gigabyte's WINDFORCE 2X cooling system. The cooling system uses two 100mm fans. The airflow is split by the Triangulum fan edge and guided smoothly through the 3D stripe curve on the fan surface. The 3D Active Fan feature provides semi-passive cooling, which suggests the fans will remain off when the GPU is under a group loading or temperature for low power gaming.
NVIDIA GPU Boost 4.0
Boosts the card's clock speed in real-time supported the target temperature. If the cardboard is running below the set target temperature, GPU Boost 4.0 will increase the clock speed to enhance performance. The target temperature is often reset counting on your preference so you'll have the cardboard run more quietly for everyday tasks and older games and run at full tilt during intense high-resolution gaming sequences.
NVIDIA Ansel
With Ansel, gamers can compose the gameplay shots they need, pointing the camera in any direction and from any viewpoint within a gaming world. they will capture screenshots at up to 32 times the screen resolution then concentrate where they choose without losing fidelity. With photo-filters, they will add effects in real-time before taking the shot, and that they can capture 360-degree stereo photospheres for viewing during a VR headset or Google Cardboard.
CUDA
NVIDIA's parallel computing platform enables a rise in computing performance by harnessing the parallel nature of GPU processing. CUDA-compatible applications can assign intensive parallel computing tasks like real-time video rendering to the GPU to process, which frees up the computer's CPU to run other tasks.