The new RTX 4070 Ti SUPER 16GB local-AI guide turns a popular Ada board into a capacity-first decision. NVIDIA lists 16GB of GDDR6X memory. That can serve many 7B, 8B and quantized 14B workloads, but the complete model, KV cache, runtime workspace, display allocation and concurrency must fit—not just the downloaded file.
The 14B boundary changes with the artifact
Qwen’s official Qwen2.5-14B-Instruct-GGUF repository makes the range concrete. Its listed Q4_K_M file is 8.99GB, leaving 7.01GB of nominal file-only room on a 16GB card. Q6_K is 12.1GB, leaving 3.9GB. Q8_0 is 15.7GB, leaving only 0.3GB before cache, workspace, display use and other allocations, so it is not a safe resident target.
Enter the exact artifact, context and concurrency in the LLM VRAM calculator. Use the 16GB GPU buyer guide when capacity is settled but the exact board is not.
The 32B boundary arrives quickly
Qwen’s official Qwen2.5-32B-Instruct-GGUF repository lists Q2_K at 12.3GB, leaving 3.7GB of nominal file-only room. Q3_K_M at 15.9GB leaves an unsafe 0.1GB. Q4_K_M at 19.9GB does not fit wholly in 16GB. CPU or system-memory offload can change feasibility, but it also changes placement, latency, throughput and whole-system requirements and must be reported.
Specifications frame the build, not the benchmark
NVIDIA publishes 8,448 CUDA cores, a 2.61GHz reference boost clock, a 256-bit memory interface, 285W total graphics power, 700W reference system-power guidance and CUDA capability 8.9 for RTX 4070 Ti SUPER. Board dimensions vary by manufacturer. These facts help with software, PSU, connector, case and cooling planning; they do not establish prompt-processing rate, generation rate, energy per completed request or value.
Control the exact board and workload
Confirm the exact partner board, 16GB runtime-visible capacity, slot width, connector routing, power limit, cooling, warranty and return protection. For used cards, follow the used-GPU checklist. A useful test also records model revision, quantization, runtime/version, context, cache precision, modality, prompt/output profile, batch, concurrency, timing definition, repetitions, peak device memory, system RAM and offload.
Continue with evidence
Read the full fit guide · Stage a reproducible benchmark record · Stage a private watchlist · Browse GPU comparisons
Published October 25, 2026. Sources include NVIDIA’s official RTX 4070 family specifications and CUDA capability table, plus Qwen’s official Qwen2.5-14B and 32B GGUF repositories. HighVRAM has not independently benchmarked RTX 4070 Ti SUPER.