RTX 4090

The NVIDIA RTX 4090 is a consumer Ada Lovelace GPU and a common choice for budget-conscious AI workloads that fit within 24GB of VRAM. Built on the AD102 die (TSMC 4N process), it delivers 165 TFLOPS of FP16 throughput. Its 82.6 TFLOPS FP32 figure is particularly strong, making it well-suited for Stable Diffusion and other FP32-heavy generative AI workloads.

The 24GB GDDR6X configuration provides 1,008 GB/s of memory bandwidth — lower than HBM-based data center GPUs such as the A100 40GB (1,555 GB/s). The 24GB limits workload memory; training needs weights, optimizer state and activations, and actual requirements depend on precision, quantization, adapter training and sharding. No NVLink; multi-GPU performance depends on interconnect and software. It also lacks ECC memory, making it unsuitable for production data center deployments where memory error correction is required.

The RTX 4090 is a practical choice for fine-tuning smaller models, running inference on quantized models, and for Stable Diffusion and image generation workloads. Actual capacity depends on model precision, optimizer state, activations, and framework overhead. It is not appropriate for production data center use (no ECC). Listed rental rates vary by provider — compare current prices in the table below before selecting.