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GIGABYTE

GIGABYTE GeForce RTX 5070 Ti Eagle OC SFF 16G Graphics Card, 16GB 256-bit GDDR7, PCIe 5.0, WINDFORCE Cooling System, GV-N507TEAGLE OC-16GD Video Card

    • Based on 3 reviews
Condition: New
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$1,299.95 Why this price?

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Availability: Only 1 left in stock, order soon!
Fulfilled by Judetronics LLC
Arrives Thursday, May 8
Order within 2 hours and 53 minutes
Available payment plans shown during checkout

Features

  • Powered by the NVIDIA Blackwell architecture and DLSS 4
  • Powered by GeForce RTX 5070 Ti
  • Integrated with 16GB GDDR7 256bit memory interface
  • PCIe 5.0
  • NVIDIA SFF ready

Description

Ahead of its time, ahead of the game is the GIGABYTE GeForce RTX 5070 Ti EAGLE OC SFF 16G Graphics Cards. Powered by NVIDIA's new RTX architecture, the GIGABYTE GeForce RTX 5070 Ti EAGLE OC SFF 16G brings stunning visuals, amazingly fast frame rates, and AI acceleration to games and creative applications with its enhanced RT Cores and Tensor Cores, along with a staggering 16 GB of GDDR7 memory.

Graphics Coprocessor: NVIDIA GeForce RTX 5070 Ti


Brand: GIGABYTE


Graphics Ram Size: 16 GB


GPU Clock Speed: 2600 MHz


Video Output Interface: DisplayPort, HDMI


Max Screen Resolution: ‎7680x4320 Pixels


Memory Speed: ‎2600 MHz


Graphics Coprocessor: ‎NVIDIA GeForce RTX 5070 Ti


Chipset Brand: ‎NVIDIA


Card Description: ‎Dedicated


Graphics Card Ram Size: ‎16 GB


Brand: ‎GIGABYTE


Series: ‎GV-N507TEAGLE OC-16GD


Item model number: ‎GV-N507TEAGLE OC-16GD


Item Weight: ‎2.66 pounds


Product Dimensions: ‎11.96 x 4.96 x 0.1 inches


Item Dimensions LxWxH: ‎11.96 x 4.96 x 0.1 inches


Manufacturer: ‎GIGABYTE


Date First Available: ‎February 20, 2025


Frequently asked questions

If you place your order now, the estimated arrival date for this product is: Thursday, May 8

Yes, absolutely! You may return this product for a full refund within 30 days of receiving it.

To initiate a return, please visit our Returns Center.

View our full returns policy here.

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Top Amazon Reviews

    • RTX 5070 Ti Review: The Most Expensive Beta Test I Never Signed Up For
RTX 5070 Ti Review: The Most Expensive Beta Test I Never Signed Up For: NVIDIA’s marketing promised AI acceleration, but what I got was a $900 debugging session. This was AFTER Amazon provided a price concession from the previous $1177.00 I paid due to a price drop during the week it took to get the 5070ti shipped across the country. I bought the RTX 5070 Ti specifically for AI workloads, because NVIDIA has been shoving “AI this, AI that” down our throats as the future of computing. The expectation? A powerful, modern GPU that performs better than, or least on par with two generation old, three year old models, while integrating seamlessly with AI tools like Stable Diffusion. The reality? A card that outright refuses to function with the most popular open-source AI software unless I manually cobble together unstable Python patches. And even after all that? It still ran worse than my three-year-old RTX 3090. AI Performance? More Like AI “Maybe” NVIDIA’s AI acceleration only works if you’re using their ecosystem. Step outside of that, and suddenly you’re dealing with incompatibility issues, NaN errors, and drivers that feel like they were slapped together at the last minute. Stable Diffusion, one of the most widely used AI tools? Completely broken out of the box. You want to fix it? Good luck navigating an arcane mess of Python dependencies, command-line flags, and “community patches” that only half-work. I expected a cutting-edge GPU. Instead, I got a glorified science project that requires you to manually hold its hand every step of the way. $900 for This? For nearly double MSRP, this card should have installed itself, optimized my system, and brought me coffee. Instead, I had to: • Manually troubleshoot software that worked fine on previous generations. • Hunt down experimental patches just to get basic AI features running. • Deal with instability that NVIDIA should have solved well before launch. And the worst part? Even if you do all of that, performance is still inconsistent. If you’re using AI models that demand stability and reliability, this card is a total disaster. Meanwhile, the RTX 3090… Just Works After days of frustration, I swapped my RTX 3090 back in—a three-year-old card—and suddenly everything worked again. No hacks. No patches. No random errors. Just AI acceleration as it should be. So let me get this straight, NVIDIA: • I paid more for a 50-series card that performs worse than a 30-series card? • I have to patch my own AI software because you cant effectively find a way to backpatch pytorch? • And your answer is to just keep pushing expensive hardware that barely functions outside your walled garden? NVIDIA, I Would Have Gladly Paid $2000 for a 5090, But… Here’s the real insult: If NVIDIA had actually released an effective supply of 5090’s at a reasonable price—say, their MSRP of $2000—I would have gladly paid it, unquestionably. Instead, the only way to get one is by either paying over $4000 on the secondhand market or praying you can even find one at all. So my options were: 1. Buy a 5070 Ti that barely works for AI. 2. Try to find a 5090 and take out a second mortgage. 3. Stick with a three-year-old 3090 that actually does its job. NVIDIA forced me into option #3. Final Verdict: The Most Expensive Beta Test Ever The RTX 5070 Ti is not ready for AI. Period. If you’re buying this for gaming, sure, it’s a decent card—but you can get better for the price. If you’re buying this for AI, save yourself the headache and get a used 3090, a 4090, or literally anything else that doesn’t require a degree in Python troubleshooting. NVIDIA knew exactly what they were doing when they rushed this launch. I won’t be making that mistake again. Score: 2/10 — Would not recommend for AI users. ... show more
Reviewed in the United States on March 21, 2025 by D Bowers
    • you do know nobody will buy this for that price
this way over priced and if you spend this amount of money on this product your just enabling them to keep doing this
Reviewed in the United States on February 20, 2025 by Ryan

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