The 2022 ASUS TUF Dash F15 Gaming Laptop With RTX 3070, 10-Core CPU Can Be Had For Only $1,319.99

The ASUS TUF Dash F15 is likely one of the greatest price-to-performance gaming laptops we’ve got seen, particularly with the latest Intel Twelfth-generation processors. On Amazon, the gaming laptop computer sports activities an RTX 3070 (105W energy restrict, 8GB GDDR6 VRAM) and 10-core CPU and is on the market for simply $1,319.99, however with restricted models remaining, we have no idea how lengthy the deal will final.
While you proceed deciding, allow us to undergo among the TUF Dash F15’s specs actual fast. The chassis is a mix of metallic and plastic, however general, it has a sturdy construct high quality. It comes with a 15.6-inch 1080p 144Hz show, together with Intel’s Core i7-12650H CPU. Using Intel’s hybrid structure, this chip encompasses a complete of 10 CPU cores, with 4 of them dealing with the extra demanding duties and the remaining six specializing in energy effectivity.

You additionally get a free HDMI 2.1 cable if you wish to hook up the gaming laptop computer to an exterior high-refresh-rate monitor. Aside from that, you get a single Thunderbolt 4 port, which is phenomenal at this value level, and a 512GB of PCIe NVMe Gen 4 SSD, however you may improve it down the highway, because of an empty M.2 slot. Like the storage, the RAM can be upgraded, however there may be one factor it is best to have in mind.
That 8GB of RAM for the bottom mannequin that’s out there for $1,319.99 can grow to be extraordinarily limiting sooner or later, particularly once you need to handle a number of duties on a single laptop. Since Amazon is working a number of offers on laptop {hardware}, for now, we extremely advocate choosing up a 32GB DDR5 4800MHz CL40 laptop computer RAM equipment from Crucial. With DDR5 RAM an costly buy, this equipment, which incorporates two 16GB sticks, goes for simply $119.99.
The ASUS TUF Dash F15 additionally comes with a 12-month guarantee and runs Windows 11 Home, so what are you ready for? Make the improve proper now as a result of, as we stated, there are restricted models out there.

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