GPU for local LLM · value
NVIDIA GeForce RTX 4070 Ti SUPER
The 16GB Ada card that quietly became a solid value pick for single-GPU inference.
- VRAM
- 16 GB
- TDP
- 285 W
- Bandwidth
- 672 GB/s
- £ / GB
- £38
What it runs
With 16 GB you can comfortably load, at 4-bit quantisation, a dense model up to roughly
~28B params
Verdict
A mature 16GB Ada card with rock-solid drivers, if you can find it near the right price.
BEST FOR
- + 7B to 14B daily driving
- + mature CUDA setups
- + buyers who want new-ish, not used
NOT FOR
- - 24GB workloads
- - cheapest VRAM-per-pound
- - maximum token speed
The RTX 4070 Ti Super never set out to be an AI card, but 16GB and mature Ada drivers made it a quiet value option for single-GPU inference. It’s the card you buy when you want new-ish hardware, drivers that never argue, and you don’t need 24GB. Not exciting. Dependable.
The take
This is a bought-on-price card now. It gives you the same 16GB as the newer 5070 Ti, on the well-worn Ada platform where every inference stack behaves, but with less memory bandwidth at 672 GB/s. Bandwidth sets token speed, so the newer card is faster. The 4070 Ti Super earns its place only when it’s clearly cheaper. At the same money, buy the newer one.
What it’ll actually run
Sixteen gigabytes handles 7B to 14B models with room to spare. A 14B at Q4 sits in VRAM with a long context and runs faster than you read, and an 8B feels immediate. For assistants, coding help, and summarising, this is the sweet spot and the card does it well.
A 32B is the usual 16GB story. It loads at a tight quant with a clipped context, and you feel the compromise next to a 24GB card that just holds it. Anything 70B needs offload and slows to a crawl. So the ceiling is the same as any 16GB card. Great to 14B, tolerable at 32B, no for bigger.
Where it scores is maturity and manners. Ada drivers have years of polish, so Ollama, llama.cpp and vLLM set up without fuss. At 285W it’s efficient, and a power limit around 230W barely touches throughput while keeping it cool and quiet. The one wrinkle is physical. Partner cards run large and triple-slot, so measure before you commit.
Who should buy it, and who shouldn’t
Buy it if you find one meaningfully below a 5070 Ti and you want a proven 16GB card with drivers that never surprise you. It suits steady 7B to 14B work in a machine you’d rather not fiddle with. The mature software stack is the real draw.
Skip it if the price has crept up to match newer cards, in which case take the faster 5070 Ti. And skip it if you need 24GB, where a used 3090 or a 5090 makes more sense. But as a calm, capable 16GB option at the right price, it still holds up.
Settings people actually run
The configs owners land on, pulled from the community. A sensible starting point, not gospel - tune to your own kit.
Daily driver
Qwen2.5 14B or Llama 3.1 8B at Q4_K_M
Fits comfortably in 16GB with a long context and runs well above reading speed.
32B at the edge
A 32B at Q3 to Q4, trimmed context
Loads tightly; you give up context or quant quality. A 24GB card avoids the squeeze.
Quiet and efficient
Power limit around 220-240W
Bandwidth-bound inference means a lower cap barely dents token speed while cutting heat.
2 claim(s) we couldn't fully verify
- · indicative price around GBP 600 / USD 700 (mid-2026) - No primary source (NVIDIA or TechPowerUp) tracks street pricing; figure is indicative only.
- · a limited later run used a cut-down AD102 die - Reported by TechPowerUp/press; does not change the 16GB / 256-bit spec that matters here.
Hands-on reviews we drew on
We don't just copy the spec sheet. These are the teardowns and hands-on reviews behind this page - worth watching in their own right.
- NVIDIA GeForce RTX 4070 Ti SUPER SpecsTechPowerUp · primary source
Common questions
Is the 4070 Ti Super still worth buying for AI in 2026?+
If the price is right, yes. It gives you 16GB of GDDR6X on the mature Ada platform, so every inference stack just works. It's slower and lower-bandwidth than the 5070 Ti that replaced it, so buy it when it's clearly cheaper, not at parity.
How much slower is it than the newer 5070 Ti?+
The 5070 Ti has meaningfully more memory bandwidth, 896 GB/s against 672, and bandwidth sets token speed. On the same model expect the 5070 Ti to pull ahead. The 4070 Ti Super's argument is a lower price and identical 16GB capacity, not speed.
Does it fit a normal case and PSU?+
Mostly. Reference board power is 285W, so a 750W PSU is fine, but partner cards are often triple-slot and long, so measure your case. Connectors vary by model, from a single 16-pin to 2-3x 8-pin, so check before buying cables.