Specifications Compared
| Spec | RTX-5090 | V100 |
|---|---|---|
| TDP | 575W | 300W |
| VRAM | 32 GB | 16-32 GB |
| CUDA Cores | 21,760 | 5,120 |
| Memory Type | GDDR7 | HBM2 |
| Architecture | Blackwell | Volta |
| Form Factors | PCIe | SXM2, PCIe |
| Interconnect | PCIe 5.0 | NVLink, PCIe 3.0 |
| Tensor Cores | 680 | 640 |
| FP8 Performance | 838 TFLOPS | |
| FP16 Performance | 419 TFLOPS | 125 TFLOPS |
| FP32 Performance | 105 TFLOPS | 15.7 TFLOPS |
| FP64 Performance | 1.6 TFLOPS | 7.8 TFLOPS |
| INT8 Performance | 838 TOPS | |
| Memory Bandwidth | 1,792 GB/s | 900 GB/s |
Performance Analysis
The RTX 5090 dominates in compute throughput: its 419 TFLOPS FP16 performance triples the V100's 125 TFLOPS, accelerating deep learning training that relies on mixed-precision computations. Similarly, FP32 capability at 105 TFLOPS outpaces the V100's 15.7 TFLOPS, benefiting tasks requiring higher numerical precision like scientific simulations. The RTX 5090's FP8 support at 838 TFLOPS further optimizes inference workloads with ultra-low precision.
Memory bandwidth presents a clear edge for the RTX 5090 at 1792 GB/s over the V100's 900 GB/s, enabling larger batch sizes in memory-constrained models such as large language models. This reduces training iterations and improves throughput in data-parallel setups. Both offer 32 GB VRAM, but the RTX 5090's GDDR7 provides faster access compared to HBM2, minimizing bottlenecks in high-resolution generative tasks.
Power consumption differs significantly with the RTX 5090's 575W TDP versus the V100's 300W, potentially impacting dense deployments. However, interconnects favor the V100's NVLink for multi-GPU scaling in PCIe 3.0 environments, while the RTX 5090 uses PCIe 5.0 for single-node speed.
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 570GB Storage | Czechia | $0.81/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 8 vCPU 30GB RAM 489GB Storage | South Korea | $0.87/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 495GB Storage | South Korea | $0.91/GPU/hr | 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 5090
The RTX 5090 excels in modern AI development requiring peak performance, such as LLM training or high-throughput inference, where its 419 TFLOPS FP16 and 1792 GB/s bandwidth handle massive models efficiently. Cloud users benefit from lower pricing starting at $0.16 per hour, making it ideal for cost-sensitive prototyping or bursty workloads on PCIe form factors.
Single-GPU tasks like Stable Diffusion generation favor the RTX 5090 due to FP8 at 838 TFLOPS and Blackwell optimizations unavailable on Volta.
When to Choose the Tesla V100 32GB
The V100 suits legacy workflows optimized for Volta architecture, including multi-GPU clusters leveraging NVLink interconnects for up to 300 GB/s per link in SXM2 form factors. Environments with power budgets under 300W TDP or software stacks incompatible with Blackwell prefer its proven stability.
Data centers running established HPC codes benefit from the V100's HBM2 reliability despite higher average pricing of $1.01 per hour.
Use Cases
RTX 5090's 419 TFLOPS FP16 and 105 TFLOPS FP32 enable faster convergence on large models compared to V100's 125 TFLOPS FP16 and 15.7 TFLOPS FP32.
FP8 performance at 838 TFLOPS on RTX 5090 optimizes low-latency serving, with 1792 GB/s bandwidth supporting bigger batches than V100's 900 GB/s.
Higher FP16/FP32 throughput on RTX 5090 speeds up parameter updates, while 32 GB GDDR7 matches V100 capacity but accesses data twice as fast.
RTX 5090's Blackwell architecture and 838 TFLOPS FP8 excel in generative tasks, outperforming V100's older Volta design.
V100's NVLink and HBM2 suit multi-GPU HPC clusters with legacy codes, offering reliable 15.7 TFLOPS FP32 despite lower peak specs.
Frequently Asked Questions
Which GPU has higher FP16 performance: RTX 5090 or V100?▾
The RTX 5090 achieves 419 TFLOPS in FP16, more than tripling the V100's 125 TFLOPS. This gap accelerates training workloads significantly. Bandwidth at 1792 GB/s on RTX 5090 further enhances its lead.
How do VRAM capacities compare between RTX 5090 and V100 32GB?▾
Both provide 32 GB VRAM, but RTX 5090 uses GDDR7 with 1792 GB/s bandwidth versus V100's HBM2 at 900 GB/s. Faster memory on RTX 5090 supports larger effective model sizes. Types differ in latency and use cases.
What are the cloud rental prices for these GPUs?▾
RTX 5090 starts from $0.16 per hour averaging $0.65 across 28 offers, while V100 32GB begins at $0.29 per hour averaging $1.01 over 44 offers. RTX 5090 provides better value for high-performance needs. Prices fluctuate based on providers.
Does the V100 support NVLink, and how does it compare to RTX 5090 interconnect?▾
V100 uses NVLink alongside PCIe 3.0 for multi-GPU scaling, unlike RTX 5090's PCIe 5.0 single-node focus. NVLink enables higher inter-GPU bandwidth in clusters. RTX 5090 suits standalone deployments.
What is the TDP difference between RTX 5090 and V100?▾
RTX 5090 has a 575W TDP compared to V100's 300W, demanding more cooling and power. V100 fits constrained environments better. Performance per watt favors RTX 5090 in compute-intensive tasks.
Which architecture is newer: Blackwell or Volta?▾
Blackwell powers the RTX 5090 from 2025, vastly outpacing Volta in the V100 from 2017. This yields FP32 at 105 TFLOPS versus 15.7 TFLOPS. Newer architecture includes FP8 support absent on V100.
Which is cheaper to rent, the RTX 5090 or the V100?▾
Cloud rental prices for both the RTX 5090 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 5090 have compared to the V100?▾
The RTX 5090 has 32 GB of GDDR7 memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find RTX 5090 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 5090 and the V100?▾
The RTX 5090 uses the Blackwell architecture (2025) while the V100 uses Volta (2017). The RTX 5090 delivers 3.4x the FP16 throughput and 2.0x the memory bandwidth of the V100.