NVIDIA RTX 5090

The Pinnacle of AI-Driven Performance

NVIDIA RTX 5090 Graphics Card - Click to play video

Unprecedented Power

Step into the future with the NVIDIA RTX 5090, the flagship consumer GPU built on the revolutionary NVIDIA Blackwell architecture. Engineered for extreme AI computations, immersive next-generation gaming, and demanding creative workflows, the RTX 5090 delivers unparalleled performance.

Key Specifications

  • Architecture: NVIDIA Blackwell
  • CUDA Cores: 21,760
  • Boost Clock: 2.41 GHz
  • Base Clock: 2.01 GHz
  • Memory: 32 GB GDDR7
  • Memory Interface: 512-bit
  • Memory Bandwidth: 1,792 GB/s
  • Tensor Cores: 5th Generation (3,352 AI TOPS)
  • RT Cores: 4th Generation (318 TFLOPS)
  • Technology: DLSS 4 (Frame Generation), PCIe Gen 5
  • Power: 575W TGP (Total Graphics Power)

Availability & Pricing

$1999.99 (Estimated MSRP)

Availability: Coming Soon / Pre-orders Opening Soon

Prepare for the next leap in AI and graphics performance.

Performance Benchmarks

Witness the generational leap in AI and graphics processing. Comparing RTX 5090 vs RTX 4090 performance in LLAMA models (Tokens/Second).

LLAMA Model Performance (tok/sec)
RTX 5090 RTX 4090

Note: Higher values indicate better tokens per second performance. Test conditions may vary represented by the animation.

Frequently Asked Questions

What is the NVIDIA RTX 5090?
The NVIDIA RTX 5090 is the flagship consumer GPU based on the powerful Blackwell architecture. It's designed for peak performance in AI, gaming, and creative work, featuring 21,760 CUDA Cores, 5th Gen Tensor Cores (3,352 AI TOPS), 4th Gen RT Cores, and 32GB of ultra-fast GDDR7 memory.
What is the memory bandwidth of the RTX 5090?
The RTX 5090 boasts an impressive 1,792 GB/s of memory bandwidth, thanks to its 32GB GDDR7 memory operating on a 512-bit interface. This ensures rapid data access, crucial for large AI models, high-resolution textures, and complex datasets.
Is the RTX 5090 suitable for AI development?
Absolutely. The RTX 5090 is purpose-built for demanding AI workloads. Its 21,760 CUDA cores, 3,352 AI TOPS from 5th Gen Tensor Cores, 32GB of GDDR7 memory, and 1,792 GB/s bandwidth make it ideal for training large models, complex inference, multi-modal tasks, and data science.
When will the RTX 5090 be available?
The Official release date was January 30, 2025 and you may buy the RTX 5090 now. If out of stock, check back frequently or sign up for notifications for the latest availability updates at Snarglebyte.
What power supply do I need for the RTX 5090?
The RTX 5090 has a Total Graphics Power (TGP) of 575W. NVIDIA recommends a minimum Power Supply Unit (PSU) of 850W for a system with this card, but a higher wattage PSU (e.g., 1000W+) is advisable for systems with high-end CPUs or multiple peripherals.
Can I use multiple RTX 5090s together?
While SLI for gaming is not supported, multiple RTX 5090 GPUs can be used in parallel for AI and compute workloads using frameworks like TensorFlow or PyTorch. This requires a motherboard with sufficient PCIe slots and spacing, a very high-wattage PSU (e.g., 1600W+ for two cards), and robust system cooling.