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RTX 4070 SUPER 12GB for Local AI: Where It Fits

The new RTX 4070 SUPER 12GB local-AI guide puts the card’s capacity before its generation label. NVIDIA lists 12GB of GDDR6X memory. That is comfortable for many 7B and 8B artifacts, but selected 14B files already approach or exceed the device before KV cache, runtime workspace, display use and concurrency.

The official 7B files leave useful room

Qwen’s official Qwen2.5-7B-Instruct-GGUF repository lists Q4_K_M at 4.68GB, leaving 7.32GB of nominal file-only room on 12GB. Q6_K at 6.25GB leaves 5.75GB, while Q8_0 at 8.1GB leaves 3.9GB. Those margins still exclude cache, runtime workspace, display allocation, modality and concurrent requests.

Enter the exact artifact, context and concurrency in the LLM VRAM calculator. Use the 12GB GPU buyer guide when capacity is settled but the card is not.

The 14B boundary is capacity-sensitive

Qwen’s official Qwen2.5-14B-Instruct-GGUF repository lists Q4_K_M at 8.99GB, leaving 3.01GB of nominal file-only room. Q6_K at 12.1GB and Q8_0 at 15.7GB do not fit wholly in 12GB. Offload may make a run possible, but it changes placement, latency, throughput and system-memory requirements and must be disclosed.

Specifications frame the system; they do not benchmark it

NVIDIA publishes 7,168 CUDA cores, a 2.48GHz reference boost clock, a 192-bit memory interface, 220W total graphics power, 650W reference system-power guidance and CUDA capability 8.9 for RTX 4070 SUPER. The Founders Edition specification is 244 × 112mm and two slots, but partner cards vary. These facts do not establish prompt-processing rate, generation rate, energy per completed request or value.

Control the exact board and workload

Confirm the exact board, 12GB runtime-visible capacity, slot width, connector routing, case clearance, power limit, cooling, warranty and return protection. For used cards, follow the used-GPU checklist. Record model revision, quantization, runtime/version, context, cache precision, modality, prompt/output profile, batch, concurrency, timing, repetitions, peak device memory, system RAM and offload.

Published October 25, 2026. Sources include NVIDIA’s official RTX 4070 family specifications and user guide, NVIDIA’s CUDA capability table, and Qwen’s official Qwen2.5-7B and 14B GGUF repositories. HighVRAM has not independently benchmarked RTX 4070 SUPER.