Specifications Compared
| Spec | RTX-3090 | TITAN-V |
|---|---|---|
| TDP | 350W | 250W |
| VRAM | 24 GB | 12 GB |
| CUDA Cores | 10,496 | 5,120 |
| Memory Type | GDDR6X | HBM2 |
| Architecture | Ampere | Volta |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 328 | 640 |
| FP16 Performance | 35.6 TFLOPS | 13.8 TFLOPS |
| FP32 Performance | 35.6 TFLOPS | 13.8 TFLOPS |
| Memory Bandwidth | 936 GB/s | 653 GB/s |
Performance Analysis
Architectural evolution drives the RTX 3090's edge over the TITAN V: 35.6 TFLOPS FP16 performance versus 13.8 TFLOPS enables roughly 2.6 times faster half-precision computations. In training scenarios, this accelerates gradient updates and reduces time per epoch for neural networks. FP32 parity at those rates supports precise scientific simulations without slowdowns on the newer GPU.
Memory specs transform real-world usage. The RTX 3090's 24 GB VRAM doubles the TITAN V's 12 GB, allowing larger batch sizes in inference or training to fit models exceeding 12 GB. For example, batch size 32 on TITAN V might drop to 16 due to limits, slowing throughput.
Bandwidth of 936 GB/s on RTX 3090 outpaces 653 GB/s on TITAN V, minimizing bottlenecks in data-heavy tasks like image processing. Higher rates sustain larger batches without stalling, crucial for memory-bound deep learning.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 3090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Wilmington, Delaware | $0.20/GPU/hr | Available | ||
TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Dallas, Texas | $0.21/GPU/hr | Available | ||
 Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 403GB RAM 104GB Storage | Iceland | $0.25/GPU/hr $1.01/hr total (4×) | Available | ||
Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 252GB RAM 1440GB Storage | Finland | $0.27/GPU/hr $1.07/hr total (4×) | Available | ||
 LeaderGPU | 8×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.29/GPU/hr $2.29/hr total (8×) | Available |
When to Choose the RTX 3090
The RTX 3090 suits demanding modern workloads. Its 24 GB GDDR6X VRAM accommodates large language models during training, preventing out-of-memory issues common with 12 GB limits. At 35.6 TFLOPS FP16 and 936 GB/s bandwidth, it processes batches faster, ideal for cloud rentals from $0.08 per hour.
When to Choose the TITAN V
The TITAN V fits niche legacy setups. Its 250W TDP consumes less power than the RTX 3090's 350W, beneficial in air-cooled data centers with constraints. Volta-specific optimizations in older software stacks may favor it, though lack of cloud offers hinders accessibility.
Use Cases
RTX 3090's 24 GB VRAM and 35.6 TFLOPS FP16 support massive models and large batches, unlike TITAN V's 12 GB and 13.8 TFLOPS limits.
Higher 936 GB/s bandwidth and 35.6 TFLOPS on RTX 3090 enable faster token generation at scale compared to TITAN V's 653 GB/s.
RTX 3090's doubled VRAM handles parameter-efficient methods on large bases without swapping, exceeding TITAN V capacity.
35.6 TFLOPS FP16 and 24 GB VRAM accelerate diffusion steps and high-res generations beyond TITAN V's 13.8 TFLOPS.
RTX 3090's 35.6 TFLOPS FP32 matches FP16 power for simulations, with NVLink for multi-GPU scaling absent on TITAN V.
Frequently Asked Questions
What is the performance difference between RTX 3090 and TITAN V?▾
RTX 3090 delivers 35.6 TFLOPS in FP16 and FP32, 2.6 times the TITAN V's 13.8 TFLOPS. This gap speeds up training and inference significantly. Memory bandwidth also rises to 936 GB/s from 653 GB/s.
How much VRAM do RTX 3090 and TITAN V have?▾
RTX 3090 offers 24 GB GDDR6X VRAM, double the TITAN V's 12 GB HBM2. Larger capacity supports bigger models and batches. This prevents common out-of-memory errors in AI tasks.
What are the power requirements?▾
RTX 3090 has a 350W TDP, higher than TITAN V's 250W. Lower power on TITAN V aids efficiency in constrained setups. Both use PCIe form factors.
Is RTX 3090 available on cloud?▾
RTX 3090 cloud pricing starts at $0.08 per hour, averaging $0.42 per hour over 49 offers. TITAN V has no live offers. This makes RTX 3090 immediately accessible.
Which has better memory bandwidth?▾
RTX 3090 provides 936 GB/s, surpassing TITAN V's 653 GB/s by 43 percent. Higher bandwidth reduces data transfer delays in workloads. It benefits memory-intensive applications.
Do they support multi-GPU?▾
RTX 3090 includes NVLink interconnect for scaling. TITAN V lacks listed interconnect support. This enables RTX 3090 for distributed training.
Which is cheaper to rent, the RTX 3090 or the TITAN V?▾
Cloud rental prices for both the RTX 3090 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 3090 have compared to the TITAN V?▾
The RTX 3090 has 24 GB of GDDR6X memory. The TITAN V has 12 GB of HBM2 memory.
Can I find RTX 3090 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 3090 and the TITAN V?▾
The RTX 3090 uses the Ampere architecture (2020) while the TITAN V uses Volta (2017). The RTX 3090 delivers 2.6x the FP16 throughput and 1.4x the memory bandwidth of the TITAN V.