NVIDIA GeForce RTX 4080 SUPER vs NVIDIA A100 80GB
Side-by-side comparison for AI and gaming. Which one should you buy in 2026?
Bottom Line
NVIDIA A100 80GB has more VRAM (80GB vs 16GB) but costs more ($8000 vs $950). For AI, the extra VRAM is usually worth it. For gaming only, NVIDIA GeForce RTX 4080 SUPER may be the better value.
AI Model Compatibility
How each GPU handles popular AI models. VRAM determines whether a model fits — green means it runs, red means it won't.
Estimated Performance (tok/s)
Bandwidth-based estimates, not hardware benchmarks. Methodology
NVIDIA GeForce RTX 4080 SUPER
The RTX 4080 SUPER delivers excellent 4K gaming performance with 16GB of GDDR6X memory. It is a strong card for gaming-first builds that want some AI capability. The 16GB VRAM handles 14B models at Q4 and runs Stable Diffusion XL comfortably. However, for dedicated AI builds, the 4090's 24GB offers significantly more headroom for the price difference.
Full specs →NVIDIA A100 80GB
The NVIDIA A100 80GB is the data center GPU that powered the AI revolution. With 80GB of HBM2e memory at over 2 TB/s bandwidth, it runs any consumer LLM completely unquantized — including 70B models at full FP16 precision. Originally ,000+, used A100s are now available for around ,000. They require a server chassis or PCIe adapter and have no display output. For AI builders with the budget and technical skill, a used A100 offers unmatched VRAM capacity.
Full specs →Who Should Buy Which?
Buy the NVIDIA GeForce RTX 4080 SUPER if:
- + You want to save $7050
- + You want better gaming performance
- + Premium 4K gaming with moderate AI capability
Buy the NVIDIA A100 80GB if:
- + You need 80GB VRAM for larger AI models
- + AI workloads are your primary use case
- + You want lower power consumption (300W vs 320W)
- + Running the largest AI models with zero compromises on quality