NVIDIA RTX 4070 Ti

NVIDIA RTX 4070 Ti: This card began life under a different name: NVIDIA announced it as the RTX 4080 12GB in September 2022, then unlaunched it that November after backlash over shipping two 4080 SKUs with different specs and performance under the same name (NVIDIA's own statement called it "confusing"). It returned three months later, on January 5, 2023, as the RTX 4070 Ti at a $799 MSRP, $100 under the canceled card's planned $899, on the exact same silicon: the fullest configuration of the AD104 die, AD104-400 (35.8 billion transistors, 295mm²), with 7,680 CUDA cores, 60 SMs, and a 285W TDP (TechPowerUp's spec database; VideoCardz's and TechSpot's contemporaneous unlaunch coverage). Its 12GB GDDR6X on a 192-bit bus at 504 GB/s is identical to the base RTX 4070 and RTX 4070 SUPER released around it; only CUDA core count and clocks separate the three.

Because this site's calculator computes decode speed from VRAM capacity and memory bandwidth rather than core count, this card returns bit-for-bit the same results as the base RTX 4070 and RTX 4070 SUPER for every model this site tracks: Qwen3 8B fits natively at Q8_0 (10.88 GB, 33.7 tok/s), and Qwen3 14B fits at its recommended Q3_K_M (9.48 GB, 38.7 tok/s). The 12GB ceiling is the real constraint, not this card's extra compute: GPT-OSS 20B, a model OpenAI explicitly sized for a 16GB card, needs CPU offload here just like on the other two 12GB cards (25.23 GB, 3.6 tok/s), and Qwen 3.6 27B fares worse still (32.75 GB, 1.3 tok/s). Against the RTX 3060 12GB, a much cheaper card that shares this exact 12GB capacity but only 360 GB/s of bandwidth, this card's advantage is real but narrower than the price gap suggests: Qwen3 8B decodes about 40% faster here (33.7 vs 24.1 tok/s, tracking the two cards' 504-vs-360 GB/s bandwidth ratio almost exactly), but both cards fit and offload the exact same models, since VRAM capacity, not bandwidth, decides that line.

Full CUDA support on Ada Lovelace, the same mature llama.cpp, Ollama, vLLM, and TensorRT-LLM coverage every Ada card gets. Since this card shares its 12GB/504 GB/s memory subsystem with the base RTX 4070 and RTX 4070 SUPER, none of the three can run NVFP4 (Blackwell-only in this site's calculator), and all three cap out at the same Q2_K floor on the standard quant ladder. Whatever unlaunch-and-rebrand history this card carries from its "RTX 4080 12GB" origins, the CUDA stack underneath it is identical to any other AD104 card; the real buying question for local LLM work is whether the extra CUDA cores over the cheaper base RTX 4070 are worth the price gap, since this site's calculator can't tell the two apart on decode speed at all. Anyone whose models don't fit in 12GB is better served by the RTX 4070 Ti SUPER, the only card in the family that actually widened the memory subsystem.