The RTX 5060 Ti got hit hardest, the RTX 5080 barely moved, and that flipped the value math. Here's what actually makes sense, card by card, in August 2026.
If you were planning to buy a GPU for local AI this month, the advice from two months ago is now wrong. Newegg's median RTX 5060 Ti 16GB price jumped from $569.99 in June to $804.99 in August — a 39% hike — while the RTX 5080 barely moved, up just 3% to around $1,500. That's not a uniform price increase. It's a reshuffle, and it changes which card is actually the smart buy.
What actually changed in August
This is the same DRAM and GDDR7 shortage that's been rattling the whole GPU market, but it's landing unevenly. Mainstream, high-volume cards — the 5060 Ti and 5070 — got repriced hardest. The low-volume flagship 5080 barely moved. That's worth sitting with for a second: the card that was the 'safe mid-range pick' in June is now worse value than the tier above it.
Every tier, priced honestly, right now
Local-AI GPU pricing, August 2026
Intel Arc B580
Card
12GB
VRAM
~$300
Median price
$25.00
AMD RX 9060 XT 16GB
Card
16GB
VRAM
$448
Median price
$28.00
RTX 5060 Ti 16GB
Card
16GB
VRAM
$804.99
Median price
$50.31
RTX 5070
Card
12GB
VRAM
$899.99
Median price
$75.00
RTX 5080
Card
16GB
VRAM
~$1,500
Median price
$93.75
RTX 5090
Card
32GB
VRAM
~$4,600
Median price
$143.75
Card
VRAM
Median price
$/GB VRAM
Intel Arc B580
12GB
~$300
$25.00
AMD RX 9060 XT 16GB
16GB
$448
$28.00
RTX 5060 Ti 16GB
16GB
$804.99
$50.31
RTX 5070
12GB
$899.99
$75.00
RTX 5080
16GB
~$1,500
$93.75
RTX 5090
32GB
~$4,600
$143.75
The budget tier is the standout. Arc B580 and the RX 9060 XT weren't caught up in the same repricing wave as the RTX 50-series, so they're now the cheapest VRAM per dollar by a wide margin — but capacity is still capacity. If you're unsure whether 12GB or 16GB actually covers your use case, our breakdown of what fits in 12GB is worth reading before you buy on price alone.
Cost per GB of VRAM, August 2026
Arc B580$25/GB
12GB
RX 9060 XT 16GB$28/GB
16GB
RTX 5060 Ti 16GB$50/GB
16GB — hit hardest
RTX 5070$75/GB
12GB
RTX 5080$94/GB
16GB
RTX 5090$144/GB
32GB
The catch with the budget cards
Arc B580 has no CUDA. Most local-AI tooling runs fine on it through Vulkan or SYCL backends, but anything CUDA-only is a dead end. The RX 9060 XT leans on ROCm, which has closed a lot of ground this year but still trails CUDA in day-one support for new model releases — our own switch from Nvidia to AMD covers exactly where that friction shows up in practice.
The RTX 5070's median Newegg price climbed 36% between June and August 2026. · Press
What about the RTX 5090 and workstation-class cards?
For 32GB-plus needs, the RTX 5090 or a step into workstation territory is the honest answer — and it's a different budget class entirely. Most people chasing a specific 20–30B model don't need it. If you're running something like gpt-oss-20b, a 16GB card already covers full context comfortably; save the 5090 money for a model that actually needs 32GB.
Verdict
The honest buying advice for August 2026
Buy for the model you're actually running, not the biggest number you can afford. Right now that means the RX 9060 XT over the RTX 5060 Ti unless you specifically need CUDA. Don't buy an RTX 5090 to 'future-proof' — buy the VRAM tier your current models need, and see how a used RTX 3090 stacks up against a 5060 Ti if new pricing is putting you off entirely.
Best for: Anyone buying a GPU for local AI in the next 30 days
What's the best GPU for local AI right now given the price spike?
For most budgets, the AMD RX 9060 XT 16GB at roughly $448 offers the best cost per GB of VRAM as of August 2026, assuming your tools don't require CUDA. If they do, the RTX 5070 is the least-bad Nvidia option at $899.99 median.
Why did the RTX 5060 Ti get hit harder than the RTX 5080?
Median Newegg pricing shows the RTX 5060 Ti 16GB up 39% since June versus the RTX 5080's 3% — retailers appear to be repricing the volume mainstream cards more aggressively than the low-volume flagship tier.
Should I wait for GPU prices to come down?
There's no confirmed timeline. The memory shortage driving this is a chip-supply issue, not a temporary retailer markup, so it could persist for months. If you need the card now for a specific model, buying at today's price beats waiting on an uncertain drop.
Is 12GB of VRAM still viable for local AI in 2026?
For smaller models, yes — see our full breakdown of what actually fits in 12GB. For anything above a 20B-class model, 16GB is the safer buy.
Prices are moving fast enough now that this breakdown needs a recheck in a month, not a year. If the pattern from June to August repeats, the mainstream tier keeps getting worse relative to the high end — which is a strange sentence to write, but here we are.