Specifications Compared
| Spec | RTX-3090 | V100 |
|---|---|---|
| TDP | 350W | 300W |
| VRAM | 24 GB | 16-32 GB |
| CUDA Cores | 10,496 | 5,120 |
| Memory Type | GDDR6X | HBM2 |
| Architecture | Ampere | Volta |
| Form Factors | PCIe | SXM2, PCIe |
| Interconnect | NVLink | NVLink, PCIe 3.0 |
| Tensor Cores | 328 | 640 |
| FP16 Performance | 35.6 TFLOPS | 125 TFLOPS |
| FP32 Performance | 35.6 TFLOPS | 15.7 TFLOPS |
| Memory Bandwidth | 936 GB/s | 900 GB/s |
Performance Analysis
The V100 16GB dominates FP16 performance at 125 TFLOPS due to optimized tensor cores, enabling faster mixed-precision training in deep learning frameworks. In contrast, the RTX 3090 Ti balances FP16 and FP32 at 35.6 TFLOPS each, supporting versatile workloads including single-precision inference and general compute. The V100 16GB's lower 15.7 TFLOPS FP32 hampers tasks reliant on full precision.
Memory bandwidth sits close: 936 GB/s for the RTX 3090 Ti versus 900 GB/s for the V100 16GB, allowing comparable batch sizes for models fitting in VRAM. However, the RTX 3090 Ti's 24 GB capacity exceeds the V100 16GB's 16 GB, accommodating larger batches or models without splitting. Ampere's advancements yield better efficiency in modern software stacks over Volta.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 3090 Ti
| 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 153GB 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 |
Tesla V100 16GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Texas | $0.19/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | New York City | $0.19/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Texas | $0.29/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 0 vCPU 0GB RAM | New York City | $0.29/GPU/hr | Available | ||
 Lambda Labs | 8×NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 88 vCPU 448GB RAM 6041GB Storage | Texas | $0.79/GPU/hr $6.32/hr total (8×) | Available |
When to Choose the RTX 3090 Ti
The RTX 3090 Ti suits scenarios requiring 24 GB VRAM for large models or high FP32 throughput at 35.6 TFLOPS. Its average cloud price of $0.25 per hour proves more economical than the V100 16GB's $0.82 per hour. Image generation tasks like Stable Diffusion benefit from the extra memory and PCIe form factor.
When to Choose the Tesla V100 16GB
Select the V100 16GB for FP16-heavy training workloads leveraging 125 TFLOPS, where tensor core acceleration shines. Higher availability across 24 cloud offers simplifies access compared to five for the RTX 3090 Ti. Legacy scientific simulations optimized for HBM2 and NVLink interconnects favor this GPU.
Use Cases
The V100 16GB's 125 TFLOPS FP16 accelerates mixed-precision training effectively. The RTX 3090 Ti's 35.6 TFLOPS FP16 trails in this domain.
RTX 3090 Ti's 24 GB VRAM supports larger models during serving. Balanced FP32 at 35.6 TFLOPS aids deployment efficiency.
Both GPUs handle fine-tuning adequately within VRAM limits. Selection hinges on pricing and FP16 needs.
24 GB VRAM on RTX 3090 Ti enables high-resolution generations. Modern Ampere architecture optimizes diffusion models.
V100 16GB's 125 TFLOPS FP16 and HBM2 excel in simulations. NVLink interconnect supports multi-GPU scaling.
Frequently Asked Questions
Which GPU has higher FP16 performance?▾
The V100 16GB achieves 125 TFLOPS FP16, surpassing the RTX 3090 Ti's 35.6 TFLOPS. This edge benefits mixed-precision training tasks.
What are the VRAM differences?▾
RTX 3090 Ti offers 24 GB GDDR6X, while V100 16GB provides 16 GB HBM2. Larger capacity on RTX 3090 Ti fits bigger models.
How do cloud prices compare?▾
Both start at $0.10 per hour, but RTX 3090 Ti averages $0.25 per hour across five offers, versus V100 16GB's $0.82 per hour across 24. RTX 3090 Ti costs less on average.
Which has better FP32 performance?▾
RTX 3090 Ti delivers 35.6 TFLOPS FP32, double the V100 16GB's 15.7 TFLOPS. This aids inference and general compute.
What are the TDPs?▾
RTX 3090 Ti consumes 350W TDP, higher than V100 16GB's 300W. Power differences impact cluster density.
Which architecture is newer?▾
Ampere in RTX 3090 Ti dates to 2020, post-Volta's 2017 debut in V100 16GB. Newer design supports recent CUDA features.
Which is cheaper to rent, the RTX 3090 or the V100?▾
Cloud rental prices for both the RTX 3090 and V100 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 V100?▾
The RTX 3090 has 24 GB of GDDR6X memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find RTX 3090 and V100 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 V100?▾
The RTX 3090 uses the Ampere architecture (2020) while the V100 uses Volta (2017). The V100 delivers 3.5x the FP16 throughput and 1.0x the memory bandwidth of the RTX 3090.