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UNIT · NVIDIA · GPU
8 GB VRAMmid·Reviewed May 2026

NVIDIA GeForce GTX 1070 Ti

Pascal Ti slot between the 1070 and 1080. 8 GB GDDR5 at 256 GB/s. No FP16 acceleration on consumer Pascal — quantized inference only. Runs 7B Q4 at ~25-35 tok/s. Used $140-180 in 2026. The forgotten Ti — same VRAM as 1070, similar performance, niche.

Released 2017·~$160 street·256 GB/s memory bandwidth
RUNLOCALAI SCORE
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268/ 1000
DD-tier
Estimated
Throughput
89/ 500
VRAM-fit
80/ 200
Ecosystem
200/ 200
Efficiency
14/ 100

Extrapolated from 256 GB/s bandwidth — 30.7 tok/s estimated. No measured benchmarks yet.

WORKLOAD FIT
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Plain-English: Comfortable for 7B chat.

7B chat✓
Comfortable
14B chat✗
Doesn't fit
32B chat✗
Doesn't fit
70B chat✗
Doesn't fit
Coding agent✗
Doesn't fit
Vision (≤8B VLM)~
Tight
Long context (32K)✗
Doesn't fit
✓Comfortable — fits with headroom
~Tight — works, no slack
△Marginal — needs aggressive quant
✗Doesn't fit usefully

Verdicts extrapolated from catalog VRAM + bandwidth + ecosystem flags. Hover any chip for the rationale. Want measured numbers? Submit your own run with runlocalai-bench --submit.

BLK · VERDICT

Our verdict

OP · Fredoline Eruo|VERIFIED MAY 10, 2026
5.1/10

This card is for the operator who already has a GTX 1070 and wants a slight bump without spending much, or for someone building a budget local AI rig on a strict $150 cap. It runs 7B Q4 models at ~25-35 tok/s, which is usable for chat and light code generation, and can handle some 13B Q4 models if you accept heavy offloading. What breaks: the 8 GB VRAM ceiling means 13B Q4 models barely fit, and 34B+ models are out of reach. Pascal lacks FP16 acceleration, so quantized inference is the only path. When to pass: if you can stretch to $200 for a used RTX 3060 12 GB, you get more VRAM and faster inference. Price/value note: at $160 used, it's a fair stopgap but not a long-term investment.

›Why this rating

The GTX 1070 Ti offers decent 7B performance for the price, but its 8 GB VRAM and lack of FP16 acceleration limit its local AI utility. It's a passable entry-level card, but better options exist for a small premium.

BLK · OVERVIEW

Overview

Pascal Ti slot between the 1070 and 1080. 8 GB GDDR5 at 256 GB/s. No FP16 acceleration on consumer Pascal — quantized inference only. Runs 7B Q4 at ~25-35 tok/s. Used $140-180 in 2026. The forgotten Ti — same VRAM as 1070, similar performance, niche.

Retailers we'd check:Amazon

Search-fallback links. Editorial hasn't yet curated retailer URLs for this card. Approx. $160.

Some links above are affiliate links. We may earn a commission at no extra cost to you. How we make money.

BLK · SPECS

Specs

VRAM8 GB
Power draw180 W
Released2017
MSRP$449
Backends
CUDA
Vulkan

Models that fit

Open-weight models small enough to run on NVIDIA GeForce GTX 1070 Ti with usable context.

Llama 3.2 3B Instruct
3B · llama
Gemma 4 E4B (Effective 4B)
4B · gemma
Qwen 3 4B
4B · qwen
Phi-3.5 Mini Instruct
3.8B · phi
Llama 3.2 1B Instruct
1B · llama
Gemma 3 4B
4B · gemma
Gemma 4 E2B (Effective 2B)
2B · gemma
Phi-3.5 Vision
4.2B · phi

Frequently asked

What models can NVIDIA GeForce GTX 1070 Ti run?

With 8GB VRAM, the NVIDIA GeForce GTX 1070 Ti runs 7B models comfortably in Q4 quantization. See the model list below for tested combinations.

Does NVIDIA GeForce GTX 1070 Ti support CUDA?

Yes — NVIDIA GeForce GTX 1070 Ti is an NVIDIA card with full CUDA support, the most mature local-AI backend. llama.cpp, Ollama, vLLM, and ExLlamaV2 all run natively.

How much does NVIDIA GeForce GTX 1070 Ti cost?

Current street price for NVIDIA GeForce GTX 1070 Ti is around $160 (MSRP $449). Prices vary by region and supply.

Where next?

Buyer guides
  • Best GPU for local AI →
  • Best laptop for local AI →
  • Best Mac for local AI →
  • Best used GPU for local AI →
Troubleshooting
  • CUDA out of memory →
  • Ollama running slowly →
  • ROCm not detected →
  • Model keeps crashing →

Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify hardware specifications.

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OP·Fredoline Eruo
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DISCLOSURE

Some links on this site are affiliate links (Amazon Associates and other first-class retailers). When you buy through them, we earn a small commission at no extra cost to you. Affiliate links do not influence our verdicts — there are cards we rate highly that we don't have affiliate relationships with, and cards that sell well that we refuse to recommend. Read more →

SYS · ONLINEUPTIME · 100%2026 · operator-owned
RUNLOCALAI · v38
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