Architect's technical teardown: VRAM capacity, memory bandwidth, TDP, and AI throughput — compared head-to-head for local LLM workloads.
High-efficiency inference engine. 16GB of VRAM allows for local hosting of Llama 3 70B (distilled) and high-speed Qwen 2.5 workflows.
The previous generation's king. 24GB VRAM and high CUDA counts remain the industry standard for consumer AI development.
| Metric | NVIDIA GeForce RTX 5070 Ti | NVIDIA GeForce RTX 4090 |
|---|---|---|
| VRAM | 16GB | 24GB |
| Memory Bandwidth | 896 GB/s | 1008 GB/s |
| AI Throughput (TOPS) | 1406 | 1321 |
| TDP (Power Draw) | 300W | 450W |
| Est. Price | $499.99 | $1,799.00 |