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
V100's 125 TFLOPS FP16 significantly outpaces RTX 3090's 35.6 TFLOPS, benefiting deep learning training that leverages mixed-precision arithmetic for faster convergence. In contrast, RTX 3090's matched 35.6 TFLOPS FP16 and FP32 supports inference tasks requiring single-precision accuracy without performance penalties.
Memory bandwidth remains close at 936 GB/s for RTX 3090 versus 900 GB/s for V100, allowing similar maximum batch sizes in memory-bound workloads. However, V100's 32 GB HBM2 exceeds RTX 3090's 24 GB GDDR6X, accommodating larger models or datasets without swapping. TDP values of 350W and 300W indicate comparable power efficiency in sustained loads.
Real-world implications favor V100 for FP16-dominant training pipelines, while RTX 3090 handles diverse inference and general compute more evenly, especially at lower cloud costs.
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 1217GB 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 32GB
| 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
RTX 3090 suits inference-heavy workflows and balanced compute needs: its 35.6 TFLOPS FP32 matches FP16, avoiding bottlenecks in single-precision tasks. Cloud pricing from $0.08 per hour (average $0.44 per hour) delivers strong value compared to V100's higher rates.
Newer Ampere architecture enhances features like tensor cores for modern AI, ideal for Stable Diffusion or fine-tuning on consumer-scale budgets. PCIe form factor simplifies deployment in varied cloud instances.
When to Choose the Tesla V100 32GB
V100 excels in FP16-intensive training: 125 TFLOPS throughput accelerates large-scale model optimization far beyond RTX 3090's 35.6 TFLOPS. 32 GB HBM2 VRAM supports bigger batch sizes and complex datasets.
Datacenter optimizations via SXM2 and NVLink make it preferable for enterprise multi-GPU clusters prioritizing raw training speed over cost.
Use Cases
V100's 125 TFLOPS FP16 vastly outperforms RTX 3090's 35.6 TFLOPS, speeding up mixed-precision training. Larger 32 GB HBM2 handles extensive model parameters.
RTX 3090's equal 35.6 TFLOPS FP16 and FP32 ensures efficient single-precision serving. Lower pricing from $0.08 per hour provides better economics for deployment.
RTX 3090 balances compute at 35.6 TFLOPS across precisions for iterative tuning tasks. Cost advantage (average $0.44 per hour) suits frequent experiments.
Ampere architecture optimizes image generation with 936 GB/s bandwidth and 24 GB VRAM. Cheaper cloud rates enable prolonged creative workloads.
V100's 125 TFLOPS FP16 accelerates simulations using half-precision. 900 GB/s HBM2 bandwidth supports high-throughput numerical methods.
Frequently Asked Questions
Which GPU has higher FP16 performance?▾
V100 delivers 125 TFLOPS FP16, exceeding RTX 3090's 35.6 TFLOPS. This gap favors V100 in mixed-precision training tasks. FP32 remains stronger on RTX 3090 at equal 35.6 TFLOPS.
What are the VRAM differences?▾
V100 offers 32 GB HBM2, larger than RTX 3090's 24 GB GDDR6X. V100 handles bigger models accordingly. Bandwidth is close: 900 GB/s versus 936 GB/s.
How do cloud prices compare?▾
RTX 3090 starts at $0.08 per hour (average $0.44 per hour) across 45 offers. V100 begins at $0.29 per hour (average $1.01 per hour) over 46 offers. RTX 3090 provides better value for general use.
Which is better for training large models?▾
V100 leads with 125 TFLOPS FP16 and 32 GB VRAM for training efficiency. RTX 3090's 24 GB limits scale at 35.6 TFLOPS. Power draw is similar: 300W versus 350W.
Do they support multi-GPU setups?▾
Both feature NVLink: RTX 3090 via PCIe, V100 via NVLink and PCIe 3.0. This enables scaling. V100's SXM2 form factor optimizes datacenter clusters.
What architectures do they use?▾
RTX 3090 employs Ampere from 2020 with tensor core advancements. V100 uses Volta from 2017 focused on FP16. These define their performance profiles.
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.