Specifications Compared
| Spec | TITAN-V | V100 |
|---|---|---|
| TDP | 250W | 300W |
| VRAM | 12 GB | 16-32 GB |
| CUDA Cores | 5,120 | 5,120 |
| Memory Type | HBM2 | HBM2 |
| Architecture | Volta | Volta |
| Form Factors | PCIe | SXM2, PCIe |
| Interconnect | NVLink, PCIe 3.0 | |
| Tensor Cores | 640 | 640 |
| FP16 Performance | 13.8 TFLOPS | 125 TFLOPS |
| FP32 Performance | 13.8 TFLOPS | 15.7 TFLOPS |
| FP64 Performance | 6.9 TFLOPS | 7.8 TFLOPS |
| Memory Bandwidth | 653 GB/s | 900 GB/s |
Performance Analysis
V100's FP16 performance towers at 125 TFLOPS over TITAN V's 13.8 TFLOPS, a nearly 9x advantage from enhanced tensor core utilization: this accelerates LLM training and inference dramatically, cutting iteration times for models like BERT from hours to minutes on multi-GPU setups. FP32 rates show V100 at 15.7 TFLOPS slightly ahead of TITAN V's 13.8 TFLOPS, benefiting scientific simulations but less transformative for inference-heavy pipelines.
Memory bandwidth disparity proves critical: V100's 900 GB/s versus 653 GB/s allows 38% larger batch sizes before out-of-memory errors, stabilizing training convergence for computer vision or NLP. TITAN V's 250W TDP offers efficiency over V100's 300W, yet lacks NVLink for efficient inter-GPU data transfer, limiting scalability in distributed environments.
Real-world impact favors V100 for production: higher VRAM and throughput handle datasets exceeding 12 GB, while TITAN V suits lightweight prototyping.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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 TITAN V
NVIDIA TITAN V fits power-conscious single-user workstations: its 250W TDP draws 17% less than V100's 300W, ideal for desktops without robust cooling. Researchers prototyping small models under 12 GB VRAM benefit from PCIe compatibility and FP32 parity at 13.8 TFLOPS, avoiding datacenter overhead where TITAN V integrates seamlessly.
When to Choose the Tesla V100 16GB
NVIDIA Tesla V100 dominates AI production: 125 TFLOPS FP16 and 16 GB VRAM process large LLMs efficiently, with 900 GB/s bandwidth supporting massive batches. Cloud pricing from $0.10 per hour across 27 offers, plus NVLink and SXM2 form factors, enable scalable multi-GPU clusters unavailable on TITAN V.
Use Cases
V100's 125 TFLOPS FP16 and 900 GB/s bandwidth manage large-scale training far better than TITAN V's 13.8 TFLOPS and 653 GB/s.
Superior FP16 throughput at 125 TFLOPS and 16 GB VRAM enable high-volume inference without bottlenecks.
V100's extra 4 GB VRAM and 38% higher bandwidth handle bigger fine-tuning datasets efficiently.
16 GB HBM2 supports high-resolution generations, outperforming TITAN V's 12 GB limit.
Both offer similar 13.8 to 15.7 TFLOPS FP32; TITAN V suffices for FP32-dominant tasks with lower 250W TDP.
Frequently Asked Questions
What is the main performance difference between TITAN V and V100?▾
V100 achieves 125 TFLOPS FP16, nearly 9x TITAN V's 13.8 TFLOPS, revolutionizing tensor core workloads. FP32 stands at 15.7 TFLOPS for V100 versus 13.8 TFLOPS.
Which GPU has more VRAM and bandwidth?▾
V100 provides 16 GB HBM2 and 900 GB/s bandwidth, surpassing TITAN V's 12 GB and 653 GB/s. This supports larger models and batches.
Is cloud pricing available for these GPUs?▾
V100 16GB rents from $0.10 per hour, averaging $0.82 across 27 offers. TITAN V currently has no live cloud availability.
Does TITAN V support multi-GPU interconnects like NVLink?▾
No, TITAN V uses only PCIe. V100 includes NVLink and PCIe 3.0 for faster multi-GPU scaling.
How do power requirements compare?▾
TITAN V consumes 250W TDP, 17% less than V100's 300W. Lower draw suits desktop use.
Are both GPUs from the same generation?▾
Yes, both employ Volta architecture from 2017. V100 optimizes for datacenters with higher specs across FP16, VRAM, and bandwidth.
Which is cheaper to rent, the TITAN V or the V100?▾
Cloud rental prices for both the TITAN V 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 V have compared to the V100?▾
The TITAN V has 12 GB of HBM2 memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find TITAN V 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 V and the V100?▾
The TITAN V uses the Volta architecture (2017) while the V100 uses Volta (2017). The V100 delivers 9.1x the FP16 throughput and 1.4x the memory bandwidth of the TITAN V.