NVIDIA GeForce RTX 4090 Cloud Pricing & Specs (2026)
The RTX 4090 delivers 82.6 TFLOPS FP16 at the lowest spot pricing. Ideal for QLoRA fine-tuning, Stable Diffusion, and development workloads where PCIe bandwidth is sufficient.
Target workload: Budget fine-tuning, QLoRA, Stable Diffusion, & local dev
24 GB VRAM
Manufacturer specification for onboard memory.
1.0 TB/s
Peak memory bandwidth from the manufacturer specification.
NVIDIA GeForce RTX 4090: Key Numbers at a Glance
Rental cost: no verified rate rows are tracked yet — this page asserts specifications only, never a price.
70B fit: Does not fit Llama 3.3 70B single-GPU — INT4 alone needs 40 GB vs 24 GB available. 7B-13B class is the single-GPU target.
Bottleneck: Extremely memory-bandwidth bound — GDDR6X 1 TB/s cannot sustain FP16 inference at batch≥4
OpenGPU Radar does not currently track "RTX 4090" rows in data/providers.json. No price is asserted on this page — the specifications below are manufacturer-sourced.
Compare GPUs with tracked rates →Compatible Models for NVIDIA GeForce RTX 4090
Models from the VRAM registry whose minimum INT4 footprint (weights + KV-cache + runtime overhead) fits 24 GB. FP16 shows where full precision also fits single-GPU.
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Specifications
RTX 4090 PCIe Gen4 Lane Saturation & QLoRA Analysis: The RTX 4090 connects via PCIe 4.0 x16 (64 GB/s bidirectional) — a critical bottleneck for multi-GPU workloads. Unlike SXM GPUs with NVLink, the 4090 lacks P2P NVLink: 2x RTX 4090 training requires PCIe round-trips through the CPU, yielding only 1.6x speedup (not 2x). For QLoRA fine-tuning, this is acceptable: the 24 GB GDDR6X fits Llama 70B INT4 (~14 GB) with 10 GB remaining for adapter weights and optimizer states in CPU RAM. The 1.0 TB/s memory bandwidth supports ~28 tok/s at INT4 — sufficient for development iteration. Host stability risks: consumer-grade GPUs on cloud spot markets may have varying thermal conditions, driver versions, and PCIe slot configurations. We recommend validating GPU health via nvidia-smi before deploying production workloads. The sweet spot: QLoRA fine-tuning of 13B-30B models where the 24 GB VRAM is adequate and the $0.34-$0.69/hr spot pricing beats datacenter GPUs by 5-10x.
Next steps
Compare Alternatives
Head-to-head comparisons against this GPU — specs, observed hourly rates, and the workload verdict.
The RTX 4090 offers lower hourly cost for INT4 inference. The L40S leads on FP8 precision, memory capacity, enterprise reliability, and ECC memory for production workloads.
Different classes: the RTX 4090 is 4.7× cheaper observed ($0.34 vs $1.59/hr) and runs 13B-class INT4 models with KV headroom — ideal for prototyping, small-model LoRA, and low-traffic serving. The A100's 80 GB fits 70B INT8/INT4 workloads and 4-way NVLink tensor parallelism that the 4090 cannot touch (24 GB, PCIe-only). Buy the 4090 while the model fits 24 GB; buy the A100 when it doesn't.