The new RTX 4080 SUPER 16GB local-AI guide turns a familiar product name into a capacity-first deployment decision. NVIDIA lists 16GB of GDDR6X memory for the card. That can be useful for many 7B, 8B and quantized 14B workloads, but the complete allocation—not the model file alone—determines whether a run is safe.
The 14B boundary is wider than one answer
Qwen’s official Qwen2.5-14B-Instruct-GGUF repository illustrates the range. 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 KV cache, runtime workspace, display use and other allocations, so it is not a safe resident target.
Use the LLM VRAM calculator with the exact artifact, context and concurrency. The 16GB GPU buyer guide explains when the capacity tier is right even before choosing a specific board.
A 32B file can cross the line quickly
In Qwen’s official Qwen2.5-32B-Instruct-GGUF repository, Q2_K is 12.3GB and leaves 3.7GB of nominal file-only room. Q3_K_M is 15.9GB and leaves an unsafe 0.1GB. Q4_K_M is 19.9GB and does not fit wholly in 16GB. 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 10,240 CUDA cores, a 2.55GHz reference boost clock, a 256-bit memory interface, 320W total graphics power and 750W reference system-power guidance for RTX 4080 SUPER. CUDA lists capability 8.9. These facts help with software, power, cooling and board planning; they do not establish prompt-processing rate, generation rate, energy per completed request or value.
Check the exact board and the complete run
Founders Edition dimensions are not a promise for every partner model. Confirm board dimensions, connector routing, PSU headroom, airflow, warranty and return protection. For used hardware, follow the used-GPU checklist. Measure exact model revision, quantization, runtime/version, context, cache precision, modality, prompt/output profile, batch, concurrency, exposed memory, peak device memory, system RAM, offload and timing definition.
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 4080 SUPER specifications and user guide, NVIDIA’s CUDA capability table, and Qwen’s official Qwen2.5-14B and 32B GGUF repositories. HighVRAM has not independently benchmarked RTX 4080 SUPER.