Specifications Compared
| Spec | TITAN-XP | V100 |
|---|---|---|
| TDP | 250W | 300W |
| VRAM | 12 GB | 16-32 GB |
| CUDA Cores | 3,840 | 5,120 |
| Memory Type | GDDR5X | HBM2 |
| Architecture | Pascal | Volta |
| Form Factors | PCIe | SXM2, PCIe |
| Interconnect | NVLink, PCIe 3.0 | |
| FP16 Performance | 12.1 TFLOPS | 125 TFLOPS |
| FP32 Performance | 12.1 TFLOPS | 15.7 TFLOPS |
| Memory Bandwidth | 548 GB/s | 900 GB/s |
Performance Analysis
Volta's tensor cores deliver a massive FP16 advantage for V100 at 125 TFLOPS compared to TITAN Xp's 12.1 TFLOPS, enabling up to 10 times faster mixed-precision training in deep learning frameworks. This delta accelerates neural network optimization where FP16 reduces memory usage without sacrificing accuracy, making V100 preferable for large-scale model training. FP32 performance edges slightly higher on V100 at 15.7 TFLOPS over TITAN Xp's 12.1 TFLOPS, benefiting general compute tasks.
V100's 900 GB/s HBM2 bandwidth dwarfs TITAN Xp's 548 GB/s GDDR5X, supporting larger batch sizes in training and inference to maximize throughput. Higher VRAM on V100 at 32 GB versus 12 GB handles bigger models or datasets without swapping, reducing latency. V100's 300W TDP versus 250W reflects greater compute density, though it demands robust cooling in SXM2 configurations.
NVLink on V100 enhances multi-GPU communication over TITAN Xp's PCIe-only setup, vital for distributed training.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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 TITAN Xp
The TITAN Xp suits budget-conscious users with existing Pascal-compatible systems, leveraging its 250W TDP for lower power draw in single-GPU desktop setups. Its 12 GB GDDR5X VRAM and 12.1 TFLOPS FP32 suffice for lightweight inference or fine-tuning small models where cloud access proves unnecessary. Without live cloud offers, TITAN Xp appeals for on-premises gaming hybrids or legacy software tied to Pascal.
When to Choose the Tesla V100 32GB
Opt for V100 in datacenter environments requiring 32 GB HBM2 VRAM and 900 GB/s bandwidth to process expansive datasets or large language models. Its 125 TFLOPS FP16 excels in training scenarios, while NVLink supports scalable clusters. Cloud pricing from $0.29 per hour across 46 offers enables flexible, high-performance access without upfront hardware costs.
Use Cases
V100's 125 TFLOPS FP16 and 32 GB HBM2 enable efficient handling of massive models. TITAN Xp's 12.1 TFLOPS FP16 falls short for large-scale training.
V100 supports larger batch sizes with 900 GB/s bandwidth and 32 GB VRAM. TITAN Xp's 12 GB limits concurrency.
V100's tensor cores provide 125 TFLOPS FP16 for rapid iterations. TITAN Xp manages only 12.1 TFLOPS.
V100's higher VRAM and bandwidth accelerate image generation pipelines. TITAN Xp struggles with memory-intensive prompts.
TITAN Xp's 12.1 TFLOPS FP32 fits modest simulations on PCIe setups. V100's 15.7 TFLOPS FP32 scales to complex HPC via NVLink.
Frequently Asked Questions
Which GPU has more VRAM?▾
The V100 offers 32 GB HBM2, doubling TITAN Xp's 12 GB GDDR5X. This capacity supports larger models in AI tasks.
How do FP16 performances compare?▾
V100 achieves 125 TFLOPS FP16 thanks to tensor cores, versus TITAN Xp's 12.1 TFLOPS. The gap favors V100 in mixed-precision training.
What is the memory bandwidth difference?▾
V100 provides 900 GB/s with HBM2, exceeding TITAN Xp's 548 GB/s GDDR5X. Higher bandwidth enables bigger batches.
Is cloud pricing available for these GPUs?▾
V100 32GB starts at $0.29 per hour across 46 offers, averaging $1.01 per hour. TITAN Xp has no live cloud offers.
Which has lower power consumption?▾
TITAN Xp draws 250W TDP, lower than V100's 300W. This suits power-sensitive desktop use.
What interconnects do they support?▾
V100 includes NVLink and PCIe 3.0 for multi-GPU scaling. TITAN Xp relies solely on PCIe.
Which is cheaper to rent, the TITAN Xp or the V100?▾
Cloud rental prices for both the TITAN Xp 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 TITAN Xp have compared to the V100?▾
The TITAN Xp has 12 GB of GDDR5X memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find TITAN Xp 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 TITAN Xp and the V100?▾
The TITAN Xp uses the Pascal architecture (2017) while the V100 uses Volta (2017). The V100 delivers 10.3x the FP16 throughput and 1.6x the memory bandwidth of the TITAN Xp.