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 in the V100 deliver 125 TFLOPS FP16 performance, over ten times the TITAN Xp's 12.1 TFLOPS, enabling faster mixed-precision training where models use FP16 for computations and FP32 for stability. This gap accelerates deep learning iterations, reducing training times significantly for neural networks. FP32 performance edges out slightly at 15.7 TFLOPS versus 12.1 TFLOPS, benefiting single-precision inference and simulations.
Memory specifications favor the V100: 16-32 GB HBM2 capacity supports larger models than the TITAN Xp's 12 GB GDDR5X, while 900 GB/s bandwidth versus 548 GB/s allows bigger batch sizes without bottlenecks. Higher throughput sustains data flow in memory-intensive tasks like large language model processing. The V100's 300W TDP exceeds the TITAN Xp's 250W, demanding better cooling but yielding superior efficiency per watt in compute-heavy scenarios.
Interconnects differentiate deployment: NVLink on the V100 enables multi-GPU scaling beyond the TITAN Xp's PCIe limitation, ideal for distributed training.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
V100
| 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 legacy Pascal-optimized software or single-node setups where 12 GB GDDR5X VRAM and 548 GB/s bandwidth suffice for smaller models. Its 250W TDP consumes less power than the V100's 300W, fitting constrained environments without NVLink needs. PCIe exclusivity simplifies integration in consumer workstations lacking datacenter infrastructure.
When to Choose the V100
The V100 excels in demanding AI workloads leveraging 125 TFLOPS FP16 for rapid training and 16-32 GB HBM2 for large models. NVLink interconnect supports multi-GPU clusters, unavailable on the TITAN Xp, enhancing scalability. Cloud pricing from $0.10 per hour makes it accessible for high-performance computing.
Use Cases
V100's 125 TFLOPS FP16 vastly outpaces TITAN Xp's 12.1 TFLOPS, accelerating mixed-precision training. Its 16-32 GB HBM2 handles larger models.
V100 supports bigger batches with 900 GB/s bandwidth versus 548 GB/s. NVLink aids multi-GPU inference scaling.
Tensor cores deliver 125 TFLOPS FP16 for efficient fine-tuning. 16-32 GB VRAM accommodates model checkpoints.
V100's higher FP16 and 900 GB/s bandwidth speed up diffusion steps. More VRAM fits complex generations.
15.7 TFLOPS FP32 and NVLink enable precise simulations across nodes. HBM2 bandwidth outperforms GDDR5X.
Frequently Asked Questions
Which GPU has more VRAM?▾
The V100 offers 16-32 GB HBM2, exceeding the TITAN Xp's 12 GB GDDR5X. This supports larger datasets in machine learning. HBM2 also provides higher bandwidth at 900 GB/s versus 548 GB/s.
How do FP16 performances compare?▾
V100 achieves 125 TFLOPS FP16 thanks to tensor cores, while TITAN Xp delivers 12.1 TFLOPS. This tenfold difference boosts AI training speed. FP32 is closer: 15.7 TFLOPS versus 12.1 TFLOPS.
What is the power consumption difference?▾
TITAN Xp uses 250W TDP, lower than V100's 300W. This makes TITAN Xp better for power-limited setups. V100 justifies higher draw with superior compute.
Does V100 support multi-GPU?▾
V100 includes NVLink for high-speed interconnects, absent on TITAN Xp. This enables efficient scaling in clusters. Both use PCIe, but V100 adds SXM2 form factor.
What are current cloud prices?▾
V100 starts at $0.10 per hour, averaging $0.94 across 72 offers. TITAN Xp has no live cloud availability. Prices reflect V100's datacenter demand.
Which architecture is newer?▾
Both launched in 2017, but V100 uses advanced Volta versus TITAN Xp's Pascal. Volta introduces tensor cores for 125 TFLOPS FP16. This drives performance gains.
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.