Best AI & LLMs GPUs Under ¥75,000 in 2026

The Blackwell architecture and DLSS 4 drive strong 1080p ray tracing performance in a compact, SFF-ready 221mm card that fits into tight builds. Its dual 90mm fans and pass-thru airflow keep the 450W TDP in check, while the metal backplate adds rigidity uncommon at this size. This card is best for small-form-factor gamers who want modern features like AV1 encoding and 8K display support without sacrificing desk space.

Equipped with 4096 CUDA cores and 16GB of GDDR5 memory on a 256-bit bus, this dual-GPU card delivers substantial parallel processing power for compute-intensive tasks. Its active cooling and 300W TDP via a single 8-pin connector make it a straightforward drop-in upgrade for server environments with adequate airflow. This card is best for data scientists running neural network training or engineers performing complex simulations in a dedicated workstation.

The Blackwell architecture and 8GB of GDDR6 memory on a 128-bit bus deliver solid 1080p gaming, backed by DLSS 4 and real-time ray tracing support. Its compact 197mm length with a dual-fan TORX 5.0 cooler fits easily into small form factor builds while maintaining a modest 130W TDP. This card is best for budget-conscious 1080p gamers upgrading from older GTX or RTX 20-series hardware who want modern features like AV1 encoding and PCIe 5.0.