NVIDIA GeForce RTX 3090 Ti 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 24GB) but costs more ($8000 vs $1000). For AI, the extra VRAM is usually worth it. For gaming only, NVIDIA GeForce RTX 3090 Ti 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 3090 Ti
The NVIDIA GeForce RTX 3090 Ti pushed the Ampere architecture to its limits with 24GB of GDDR6X at higher bandwidth than the standard 3090. On the used market, it offers slightly faster AI inference than the 3090 at a modest price premium. The 450W TDP is aggressive, requiring a robust PSU and good airflow. A solid used-market AI pick for those who want the fastest 24GB Ampere option.
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 3090 Ti if:
- + You want to save $7000
- + You want better gaming performance
- + Used market AI builds wanting the fastest 24GB Ampere card
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 450W)
- + Running the largest AI models with zero compromises on quality