LLM GPUs for Local AI Builds Jump in Price Across All VRAM Tiers
If you run quantized LLMs locally, VRAM is your main constraint. 16GB is the practical entry point for 13B class models in 4-bit, and anything above 24GB opens the door to 70B with multi GPU setups.
Between November 2025 and February 2026, pricing for 16GB and higher GPUs has moved sharply upward. This article focuses only on cards relevant for serious local inference workloads.
Price Increase Table February 2026
| GPU | Nov 2025 Price | Feb 2026 Price | Increase % |
|---|---|---|---|
| RTX 5060 Ti 16GB | $400 | $500 | 25.0% |
| RTX 5070 Ti | $730 | $1000 | 37.0% |
| RTX 3090 24GB (used) | $750 | $950 | 26.7% |
| RTX 4090 24GB (used) | $2200 | $2400 | 9.1% |
| RTX 4090 48GB | $3100 | $3800 | 22.6% |
| RTX 5080 | $980 | $1400 | 42.9% |
| RTX 5090 | $2500 | $3500 | 40.0% |
| RTX 6000 Ada 48GB | $4500 | $5300 | 17.8% |
| RTX A6000 48GB | $3500 | $4500 | 28.6% |
| RTX Pro 6000 96GB | $7900 | $8500 | 7.6% |
Midrange 16GB GPUs: Entry Point for Serious Local Inference
For many home lab builders, 16GB is the minimum viable tier. It allows comfortable 13B q4_0 and smaller 30B variants with tight memory management.
RTX 5060 Ti 16GB
The RTX 5060 Ti 16GB moved from 400 USD in November 2025 to 500 USD in February 2026.
That is a 25 percent increase in three months.
At 500 USD, cost per GB is now 31.25 USD. In November it was 25 USD per GB. For budget LLM builders, that delta matters.
RTX 5070 Ti 16GB
The RTX 5070 Ti has seen one of the sharpest jumps in this class.
Street price in November 2025 was around 730 USD. Current pricing sits near 1000 USD.
That equals a 37 percent increase.
At 1000 USD, performance per dollar for 16GB users has clearly degraded. This card used to be an attractive single GPU solution for 13B and light 30B inference. Now it overlaps with older 24GB options in price.
24GB and 32GB Class: The 70B Sweet Spot
24GB remains the most practical capacity for single GPU 70B q4 inference with aggressive offloading. 32GB and above reduce system RAM pressure and PCIe traffic.
RTX 3090 24GB Second Hand
The RTX 3090 remains popular in multi GPU inference rigs because of 24GB GDDR6X and wide memory bus.
Second hand pricing:
November 2025: 750 USD
February 2026: 950 USD
Increase: 26.7 percent.
Cost per GB moved from 31.25 USD to 39.6 USD. For dual 3090 builds targeting 48GB total VRAM, total system GPU cost jumped from 1500 USD to 1900 USD.
That is a major change for price conscious builders.
RTX 4090 24GB
The RTX 4090 24GB was 2200 USD in November and now sits around 2400 USD.
Increase: 9.1 percent.
Compared to the 3090 second hand market, the 4090 increase is moderate. However, absolute pricing remains high for 24GB.
RTX 4090 48GB Variant
The 48GB modified or workstation variants of the RTX 4090 moved from 3100 USD to 3800 USD.
Increase: 22.6 percent.
At 3800 USD, cost per GB is about 79 USD. This is workstation territory pricing, but for single card 70B and even partial 120B experimentation, 48GB avoids multi GPU complexity.
High End Blackwell: 32GB and Above
RTX 5080
The RTX 5080 has increased from roughly 980 USD to 1400 USD in the US market.
Increase: 42.9 percent.
Even if positioned as a gaming flagship, at 1400 USD it competes directly with used multi GPU configurations that deliver more aggregate VRAM.
RTX 5090
The RTX 5090 rose from 2500 USD to 3500 USD.
Increase: 40 percent.
For local LLM enthusiasts, this card is attractive due to very high memory bandwidth and large VRAM capacity. But at 3500 USD, dual 3090 setups still offer more total VRAM for less money, even after second hand inflation.
Workstation and Pro GPUs: 48GB to 96GB
For those running 70B and 405B class models in 4-bit with minimal sharding, professional GPUs remain relevant.
RTX 6000 Ada 48GB
The RTX 6000 Ada increased from 4500 USD to 5300 USD.
Increase: 17.8 percent.
At 5300 USD, cost per GB is roughly 110 USD. You are paying for reliability, blower cooling, and enterprise support.
RTX A6000 48GB
The RTX A6000 moved from 3500 USD to 4500 USD.
Increase: 28.6 percent.
For inference clusters built on older servers with PCIe Gen4, this used to be one of the better value 48GB options. The price gap versus Ada has narrowed.
RTX Pro 6000 96GB
The RTX Pro 6000 96GB was 7900 USD in November 2025 and now sits at 8500 USD.
Increase: 7.6 percent.
Interestingly, this tier saw the smallest percentage jump. For builders targeting very large models without multi GPU sharding, 96GB on a single card still simplifies system design.
What This Means for Local LLM Builders
From a pure VRAM per dollar perspective, the biggest damage is in the 16GB and 24GB tiers. These are the most common capacities for home inference rigs.
The 3090 used market increasing by over 26 percent directly impacts dual GPU 48GB builds, which were previously the best value path to stable 70B q4 inference.
Meanwhile, flagship cards like the 5080 and 5090 have jumped over 40 percent. For the same budget that bought a 5080 in November, you are now looking at lower tier options or the used market.
If you are planning a build for 13B or 70B models in 4-bit, February 2026 pricing shifts the balance toward carefully selected second hand hardware or staggered multi GPU expansion instead of single flagship purchases.
For now, performance per dollar in the 16GB+ segment has clearly declined compared to late 2025.
Read more
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