MSI RTX 5070 Ti 16GB OC graphics card hits lowest price ever on Amazon with Black Friday deal
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The Black Friday sales are in full swing, and we’re seeing a lot of price drops on Nvidia’s RTX 50-series lineup, especially those in the mid-range. This MSI RTX 5070 Ti 16GB OC graphics card is down to its best price ever on Amazon, reduced from its list price of $834.99 to $769.99. We think this is a great chance to grab one of the best graphics cards for 1440p at max settings on the market, and a very capable card for creative and AI-assisted workloads for less. Overclocked out of the box, and featuring advanced cooling solutions, from a price-to-performance perspective, we think it’s a good deal to consider, especially if you’re looking for something with 16GB of VRAM, but don’t fancy stretching above $1,000 for an RTX 5080.
MSI Gaming RTX 5070 TI 16G Shadow 3X OC Graphics Card
Key features of this MSI Gaming RTX 5070 Ti Shadow 3X OC graphics card
Nvidia Blackwell architecture and 16GB of VRAM
This card is built on the latest Nvidia Blackwell architecture, which means you’re getting new and improved GDDR7 VRAM, features like DLSS 4 and MFG, plus overall efficiency improvements. In terms of VRAM, the RTX 5070 Ti has 16GB, which makes it a great option for both 1440p and 4K gaming, alongside more demanding creative workloads, such as 3D rendering.
Advanced cooling
This card has several features designed to keep it running at its best, even under heavy and sustained loads. It has a triple fan design, with TORX Fan 5.0 technology, which is designed to increase airflow and air pressure. This also has a ZERO FROZR mode, which allows the fans to switch off with light usage, keeping noise levels low. There’s also a large heatsink with aluminum fins, a copper GPU baseplate, and precision-engineered heat pipes for maximum heat dissipation.
Overclocked performance
This card is overclocked out of the box, and features an ‘extreme performance’ boost clock of 2497 MHz, giving it better performance headroom for demanding titles in both 1440p and 4K resolutions, as well as allowing it to reach higher overall frame rates in games. It also supports MSI Afterburner technology, where you can monitor GPU temperature, fan speeds, voltage, and moe in real-time, allowing you to push performance both effectively and safely.
No-nonsense design and great for smaller builds
This graphics card opts for a simpler, functional-first design and does away with any flashy aRGB lighting, and it’s SFF-ready, making it ideal for more compact, space-saving builds, but without sacrificing much in the way of cooling, either.
Deals season is here folks, and Amazon has already kickstarted its early Black Friday deals! We'll be covering all the best deals in more details over in our deals hub, but if you haven't got time to read through those, why not see our top picks below.
- ASUS TUF NVIDIA RTX 5080 Was $1599 Now $1199
- ASUS TUF RTX 5070 Ti Was $999 Now $849
- Samsung Odyssey OLED G6 Was $899 Now $649
- TCL 43S250R Roku TV 2023 Was $279 Now $199
- iBUYPOWER Y40 Gaming PC Was $2,299 Now $1,819
- Samsung Odyssey G9 (G95C) Was $1,299 Now $777
- Alienware Area-51 gaming laptop Was $3,499 Now $2,799
- Samsung 77-inch OLED S95F Was $4,297 Now $3,497
- ASUS ROG Strix G16 Was $1,499 Now $1,199
*Prices and savings subject to change. Click through to get the current prices.
Who’s this deal for?
The RTX 5070 Ti 16GB is a great card for 1440p and 4K gaming, excelling at 1440p at ultra settings even with ray tracing enabled in the most demanding AAA games. The extra 4GB of VRAM compared to the RX 5070 is a big win, especially if you’re planning on using this for more demanding creative workflows, and we’d say it’s one of the best graphics cards in the 50-series lineup for the money. In terms of CPU pairings, something like a Ryzen 7 9800X3D, or even an older Ryzen 7 7800X3D, would be a good call for this type of build. High core and thread options from Intel’s 14th Gen and Core Ultra line up would also work well, for a more hybrid content creation and gaming build, the latter being better for AI-assisted workloads due to their dedicated NPUs.
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