Specifications Compared
| Spec | RTX-5090 | TITAN-V |
|---|---|---|
| TDP | 575W | 250W |
| VRAM | 32 GB | 12 GB |
| CUDA Cores | 21,760 | 5,120 |
| Memory Type | GDDR7 | HBM2 |
| Architecture | Blackwell | Volta |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 5.0 | |
| Tensor Cores | 680 | 640 |
| FP8 Performance | 838 TFLOPS | |
| FP16 Performance | 419 TFLOPS | 13.8 TFLOPS |
| FP32 Performance | 105 TFLOPS | 13.8 TFLOPS |
| FP64 Performance | 1.6 TFLOPS | 6.9 TFLOPS |
| INT8 Performance | 838 TOPS | |
| Memory Bandwidth | 1,792 GB/s | 653 GB/s |
Performance Analysis
The RTX 5090's FP16 performance reaches 419 TFLOPS, over 30 times the TITAN V's 13.8 TFLOPS, accelerating deep learning training where half-precision arithmetic prevails. Its FP32 capability of 105 TFLOPS surpasses the TITAN V's 13.8 TFLOPS, benefiting FP32-dominant simulations and graphics rendering. This performance gap translates to drastically reduced training epochs for neural networks on the RTX 5090.
Memory bandwidth of 1792 GB/s on the RTX 5090, versus 653 GB/s on the TITAN V, supports larger batch sizes in training and inference, minimizing data transfer bottlenecks and enhancing throughput. The 32 GB VRAM capacity, double the TITAN V's 12 GB, accommodates expansive models without out-of-memory errors. For inference, the RTX 5090's FP8 performance at 838 TFLOPS enables efficient quantized deployments.
Power consumption differs markedly with the RTX 5090's 575W TDP against the TITAN V's 250W, reflecting higher compute density but requiring robust cooling in cloud or on-premises setups.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 5090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.57/GPU/hr | Available | ||
 Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 384 vCPU 94GB RAM 642GB Storage | Czechia | $0.83/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 16 vCPU 30GB RAM 583GB Storage | South Korea | $0.87/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 16 vCPU 30GB RAM 395GB Storage | South Korea | $0.87/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 8 vCPU 30GB RAM 502GB Storage | South Korea | $0.87/GPU/hr | Available |
When to Choose the RTX 5090
The RTX 5090 stands out for modern AI and machine learning workloads demanding high throughput and capacity. Large language model training leverages its 419 TFLOPS FP16 and 32 GB VRAM to process massive datasets efficiently. Cloud access at $0.25 per hour average $0.85 per hour across 10 offers facilitates scalable deployments without upfront hardware costs.
Inference tasks benefit from 838 TFLOPS FP8 and 1792 GB/s bandwidth, supporting real-time applications with large batch sizes unattainable on older hardware.
When to Choose the TITAN V
The TITAN V fits legacy on-premises environments where hardware already exists, avoiding cloud migration costs. Its 250W TDP consumes half the power of the RTX 5090's 575W, suiting power-constrained setups. HBM2 memory at 653 GB/s remains viable for lighter scientific computing or older ML models fitting within 12 GB VRAM.
Use Cases
The RTX 5090's 419 TFLOPS FP16 and 32 GB VRAM support training large models with big batches, far exceeding the TITAN V's 13.8 TFLOPS and 12 GB limitations.
RTX 5090's 838 TFLOPS FP8 and 1792 GB/s bandwidth enable high-throughput quantized inference for production-scale LLMs. TITAN V lacks FP8 support and sufficient capacity.
Fine-tuning benefits from RTX 5090's 105 TFLOPS FP32 and 32 GB VRAM for parameter-efficient methods on large models. TITAN V's 13.8 TFLOPS restricts scale.
RTX 5090's 419 TFLOPS FP16 accelerates diffusion model generation with high-resolution outputs. TITAN V's lower compute cannot match speed or VRAM needs.
RTX 5090's 105 TFLOPS FP32 outperforms TITAN V's 13.8 TFLOPS for simulations and HPC tasks requiring precision and bandwidth.
Frequently Asked Questions
What is the VRAM capacity of RTX 5090 versus TITAN V?▾
The RTX 5090 provides 32 GB GDDR7 VRAM, while the TITAN V has 12 GB HBM2. This difference allows the RTX 5090 to load larger models without memory constraints. Users benefit from handling models over 2.7 times bigger on the RTX 5090.
How do the FP16 performances compare?▾
RTX 5090 delivers 419 TFLOPS in FP16, compared to TITAN V's 13.8 TFLOPS. This results in approximately 30 times faster half-precision computations for AI training. Inference workloads see similar acceleration on the newer GPU.
What are the cloud pricing details?▾
RTX 5090 cloud instances start at $0.25 per hour, averaging $0.85 per hour across 10 live offers. TITAN V has no live cloud offers available. This makes RTX 5090 the only rentable option in the cloud.
Which GPU has higher memory bandwidth?▾
RTX 5090 achieves 1792 GB/s bandwidth with GDDR7, surpassing TITAN V's 653 GB/s HBM2. Higher bandwidth supports larger batch sizes in training. This reduces data loading times significantly.
What are the TDP ratings?▾
RTX 5090 requires 575W TDP, while TITAN V uses 250W. The TITAN V offers better power efficiency for low-consumption setups. RTX 5090 justifies higher power with superior performance.
Which architecture is newer?▾
RTX 5090 uses Blackwell from 2025, versus TITAN V's Volta from 2017. The eight-year gap brings features like FP8 at 838 TFLOPS on RTX 5090. This enables modern quantized workloads absent on TITAN V.
Which is cheaper to rent, the RTX 5090 or the TITAN V?▾
Cloud rental prices for both the RTX 5090 and TITAN V vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the RTX 5090 have compared to the TITAN V?▾
The RTX 5090 has 32 GB of GDDR7 memory. The TITAN V has 12 GB of HBM2 memory.
Can I find RTX 5090 and TITAN V GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the RTX 5090 and the TITAN V?▾
The RTX 5090 uses the Blackwell architecture (2025) while the TITAN V uses Volta (2017). The RTX 5090 delivers 30.4x the FP16 throughput and 2.7x the memory bandwidth of the TITAN V.