RTX 4090 from $0.18/hr on Novita AI: Instant GPU Access
By
Novita AI
/ August 29, 2025 / GPU / 5 minutes of reading
The GeForce RTX 4090 remains a flagship-class GPU nearly three years after launch. It still high-end gaming, excels in professional workloads, and commands premium pricing despite approaching end-of-life status. This report aggregates the latest benchmarks, price trends, availability data, power-use analyses, and application scenarios to help you decide whether, when, and how to buy an RTX 4090—or whether to move on.
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VIDIA’s Ada Lovelace-based RTX 4090 debuted in October 2022 at a $1,599 MSRP and rewrote performance expectations by outperforming the outgoing RTX 3090 Ti by roughly 55-60% in 4K gaming. In 2025 it continues to deliver unmatched rasterization, ray-tracing, and AI acceleration among 40-series cards, although the newer RTX 5090 now leads outright performance by 20-30%. Scarcity and strong AI demand have pushed U.S. new-in-box prices above $2,500 and used prices above $2,000.
RTX 4090‘s Specifications
The RTX 4090 is ideal for both research and production across vision, language, audio, and generative AI workloads, making it a top choice for data scientists, ML engineers, and AI creators.
Price, Power, and Actual Performance of RTX4090
Upfront Hardware InvestmentOngoing Power CostsGPU Speed from Test
RTX 4090 consumes a lot of power, so it is recommended to use a high-power power supply (850W or even 1000W+), and it is best to choose a new version of ATX 3.0 power supply, which is directly powered by a native 16-pin cable instead of using multiple 8-pin adapter cables. This is safer and more stable.
RTX4090 for AI Inference
Aspect
Description
TOPS
1,300+ TOPS, far exceeds consumer NPU/CPU
Tokens/sec
LLM output speed, NLP throughput
VRAM
24GB+ VRAM, supports bigger models/batches
Tensor Cores
30–70% faster inference, lower memory use
Software Optimization
Full support: ONNX, DirectML, PyTorch, WebNN, etc.
RTX 4090 can efficiently carry large language models with 7B~13B parameters, various diffusion models and mainstream CV models. After quantization, it can be expanded to 16B~30B models. It is an ideal choice for individual developers and small and medium-sized teams to implement AI.
How to Run RTX4090 at a very Cost-effectively Price?
Novita AI is an AI cloud platform that offers developers an easy way to deploy AI models using our simple API, while also providing a affordable and reliable GPU cloud for building and scaling.
Step1：Register an account
Create your Novita AI account through our website. After registration, navigate to the “Explore” section in the left sidebar to view our GPU offerings and begin your AI development journey.
Choose from templates like PyTorch, TensorFlow, or CUDA that match your project needs. Then select your preferred GPU configuration—options include the powerful L40S, RTX 4090 or A100 SXM4, each with different VRAM, RAM, and storage specifications.
In the right sidebar under Filter, you can change the Billing Method from “On-Demand” to “Spot” to see discounted prices. The interface immediately updates to show the RTX 4090 at $0.18/hr instead of $0.35/hr, with the 50% savings clearly highlighted. This transparency ensures you know exactly what you’re paying before deployment.
Spot Instance Supports:
1-hour protection period guaranteed
Up to 50% cost savings activated
1-hour advance interruption notice configured
Pre-installed AI frameworks ready
Step3：Tailor Your Deployment
Customize your environment by selecting your preferred operating system and configuration options to ensure optimal performance for your specific AI workloads and development needs.
Step4：Launch an instance
Select “Launch Instance” to start your deployment. Your high-performance GPU environment will be ready within minutes, allowing you to immediately begin your machine learning, rendering, or computational projects.
The GeForce RTX 4090 remains a flagship GPU choice in 2025, excelling in high-end gaming, professional content creation, and AI workloads, despite new competition and rising prices. Its unmatched performance—delivering over 1,300 TOPS, 24GB+ VRAM, and advanced Tensor Cores—makes it ideal for 4K gaming, complex video editing, and large-scale AI inference (including LLMs and diffusion models). The RTX 4090 can handle demanding creative and research tasks that require both speed and reliability, and remains a top pick for developers, content creators, and data scientists.
For users who want the power of RTX 4090 without the upfront investment or power/thermal management concerns, cloud GPU services like Novita AI offer a cost-effective, flexible alternative. With pay-as-you-go pricing and instant access, you can scale your AI, ML, or creative workloads on demand, using the latest GPU hardware.
Frequently Asked Questions
Is the RTX 4090 still worth buying in 2025?
Yes, for high-end gaming, advanced video editing, and most AI/deep learning tasks, RTX 4090 remains extremely powerful and relevant. It still outperforms most alternatives except the newer RTX 5090, but is more accessible in the cloud.
What are the hardware requirements for running an RTX 4090?
High-wattage, high-quality power supply (at least 850W, preferably ATX 3.0 with native 16-pin)
What are the main application scenarios for RTX 4090?
4K+ gaming with high frame rates and ray tracing Professional video/image editing (Premiere, DaVinci Resolve, After Effects) Running large language models, diffusion, and vision AI models Research and creative content production AI inference at scale for individuals or small teams
Novita AIis an AI cloud platform that offers developers an easy way to deploy AI models using our simple API, while also providing the affordable and reliable GPU cloud for building and scaling.
