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Comparing RTX 4090 and Tesla P40: Which GPU Architecture is Right for Your Business?

January 21, 2026
3 minutes
Service announcement
5 Views

Choosing the right GPU for a cloud server is more than just looking at the price tag. It requires a deep understanding of architecture, precision, and the specific requirements of your workload. SurferCloud’s current GPU promotion features two distinct powerhouses: the NVIDIA RTX 4090 (Hong Kong) and the NVIDIA Tesla P40 (Singapore). While both offer 24GB of VRAM, they serve very different purposes. This guide will help you decide which path to take.

Get Started: RTX40 & Tesla P40 GPU Cloud Servers Promotion | High-Performance AI Training & Inference | SurferCloud

Comparing RTX 4090 and Tesla P40: Which GPU Architecture is Right for Your Business?

RTX 4090: The Speed Demon of AIGC The RTX 4090 is built on the modern Ada Lovelace architecture. Its primary strength lies in its raw throughput—83 TFLOPS.

PlanGPUsVRAM per GPUComputeBandwidthDiskBilling CycleLocationUse CasePrice (USD/mo)Discount
RTX40 GPU-1124GB83 TFLOPS2 / 5 / 10 Mbps200GB SSD1 MonthHong KongAI inference, AI drawing224.3874.89%
RTX40 GPU-1124GB83 TFLOPS2 / 5 / 10 Mbps200GB SSD1 MonthHong KongAI inference, AI drawing267.0574.90%
RTX40 GPU-2224GB ×283 TFLOPS / GPU2 / 5 / 10 Mbps200GB SSD1 MonthHong KongAI inference, AI drawing438.6574.94%
RTX40 GPU-2224GB ×283 TFLOPS / GPU2 / 5 / 10 Mbps200GB SSD1 MonthHong KongAI inference, AI drawing523.9874.95%
RTX40 GPU-4424GB ×483 TFLOPS / GPU2 / 5 / 10 Mbps200GB SSD1 MonthHong KongAI inference, AI drawing867.1874.97%
RTX40 GPU-4424GB ×483 TFLOPS / GPU2 / 5 / 10 Mbps200GB SSD1 MonthHong KongAI inference, AI drawing1037.8574.98%
  • Best For: Real-time rendering, high-speed AI inference, and training "heavy" models.
  • The VRAM Factor: It uses GDDR6X memory, which is significantly faster than older generations. This makes it the go-to choice for Stable Diffusion XL, video generation (Sora-like models), and training Large Language Models.
  • The SurferCloud Advantage: At $224.38/month, it’s positioned as the "High-Performance" tier for those who cannot afford to wait for slow renders.

Tesla P40: The Reliable Workhorse The Tesla P40 belongs to the Pascal architecture. While its 12 TFLOPS of compute power is lower than the 4090, it is an enterprise-grade "Tesla" series card.

  • Best For: Scientific computing (FP32), lightweight deep learning, and cost-effective inference.
  • Architecture Stability: Tesla cards are designed for 24/7 data center reliability. If your project involves constant, steady-state inference (like a chatbot or a simple recommendation engine), the P40 is a budget-friendly powerhouse.
  • The Singapore Factor: Hosted in Singapore, these units are perfect for Southeast Asian enterprises looking for localized data residency and stable compute.

Performance vs. Price While the RTX 4090 is faster, the P40 plans on SurferCloud start around a similar price point but often cater to different stability requirements. However, in the current promotion, the RTX 4090 offers significantly more "bang for the buck" in terms of TFLOPS per dollar. The P40 remains a niche choice for specific scientific libraries that are optimized for Pascal architecture or for users who specifically need Singapore-based hosting.

Conclusion: Making the Choice If you are working on modern AI (AIGC, LLMs, or Graphics), the RTX 4090 is the clear winner due to its modern architecture and 83 TFLOPS. If you are running legacy scientific simulations or need an enterprise-grade card in a Singapore region for specific compliance, the Tesla P40 is your reliable partner. With SurferCloud’s 75% discount, you can afford to test both and see which fits your pipeline better.

Tags : RTX 4090 Tesla P40

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