Specifications Compared
| Spec | A16 | TITAN-V |
|---|---|---|
| TDP | 250W | 250W |
| VRAM | 16 GB | 12 GB |
| CUDA Cores | 2,560 | 5,120 |
| Memory Type | GDDR6 | HBM2 |
| Architecture | Ampere | Volta |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 80 | 640 |
| FP16 Performance | 4.5 TFLOPS | 13.8 TFLOPS |
| FP32 Performance | 4.5 TFLOPS | 13.8 TFLOPS |
| Memory Bandwidth | 231 GB/s | 653 GB/s |
Performance Analysis
Raw compute favors the TITAN V decisively. It achieves 13.8 TFLOPS in FP16 and FP32, tripling the A16's 4.5 TFLOPS in each metric. This gap translates to faster model training and inference on the TITAN V, particularly for FP16-heavy deep learning where tensor operations dominate.
Memory bandwidth reveals another edge for the TITAN V: 653 GB/s versus 231 GB/s on the A16. Higher bandwidth enables larger batch sizes in memory-bound workloads like large-scale simulations or high-resolution image processing, reducing bottlenecks during data transfers.
VRAM capacity shifts priority to the A16 with 16 GB GDDR6 over 12 GB HBM2. This supports bigger models or datasets in inference scenarios without swapping, though the equal FP16 to FP32 ratios on both GPUs suit mixed-precision training equally well.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A16
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vultr | 8×NVIDIA A16 64GB VRAM | 64GB | 48 vCPU 496GB RAM 1500GB Storage | Singapore | $0.47/GPU/hr $3.77/hr total (8×) | Available | ||
Vultr | 8×NVIDIA A16 64GB VRAM | 64GB | 48 vCPU 496GB RAM 1500GB Storage | Atlanta | $0.47/GPU/hr $3.77/hr total (8×) | Available | ||
Vultr | 8×NVIDIA A16 64GB VRAM | 64GB | 48 vCPU 496GB RAM 1500GB Storage | Bangalore | $0.47/GPU/hr $3.77/hr total (8×) | Available | ||
Vultr | 2×NVIDIA A16 64GB VRAM | 64GB | 12 vCPU 128GB RAM 700GB Storage | Bangalore | $0.47/GPU/hr $0.94/hr total (2×) | Available | ||
Vultr | 4×NVIDIA A16 64GB VRAM | 64GB | 24 vCPU 256GB RAM 1200GB Storage | Atlanta | $0.47/GPU/hr $1.88/hr total (4×) | Available |
When to Choose the A16
The A16 emerges as the superior choice for cloud-centric users. Its pricing starts at $0.47 per hour with an average of $0.48 per hour across 74 live offers enables scalable deployments without upfront hardware costs. The 2021 Ampere architecture and 16 GB VRAM align with contemporary AI demands for larger models.
Select the A16 when availability and cost-efficiency outweigh peak compute, such as in variable workloads or testing environments.
When to Choose the TITAN V
The TITAN V proves ideal for on-premises environments with existing hardware. Its 653 GB/s bandwidth and 13.8 TFLOPS FP16/FP32 performance excel in bandwidth-intensive tasks like scientific computing or high-throughput inference.
Opt for the TITAN V if no cloud migration is planned and maximum memory throughput is critical over VRAM capacity.
Use Cases
The TITAN V's 13.8 TFLOPS FP16/FP32 outperforms the A16's 4.5 TFLOPS, accelerating gradient computations. Higher 653 GB/s bandwidth supports larger batches during backpropagation.
A16's 16 GB VRAM handles larger models than TITAN V's 12 GB. Cloud pricing from $0.47 per hour enables scalable serving.
TITAN V's 13.8 TFLOPS and 653 GB/s bandwidth speed up parameter updates. It suits compute-bound fine-tuning phases efficiently.
A16's 16 GB VRAM accommodates full model loading for generation. Ampere architecture optimizes diffusion pipelines better.
TITAN V's 653 GB/s bandwidth excels in data-heavy simulations. 13.8 TFLOPS FP32 drives complex numerical workloads.
Frequently Asked Questions
Which GPU has more VRAM?▾
The A16 provides 16 GB GDDR6 VRAM, exceeding the TITAN V's 12 GB HBM2. This allows the A16 to manage larger models or datasets in memory-constrained tasks.
What is the memory bandwidth difference?▾
The TITAN V offers 653 GB/s, far above the A16's 231 GB/s. Higher bandwidth on the TITAN V benefits batch processing and data transfers.
How do FP32 performances compare?▾
TITAN V delivers 13.8 TFLOPS FP32 versus A16's 4.5 TFLOPS. This makes TITAN V three times faster for single-precision scientific computations.
Is cloud pricing available for both?▾
A16 starts at $0.47 per hour across 74 live offers with an average of $0.48 per hour. TITAN V has no live cloud offers currently.
Which has the newer architecture?▾
A16 uses Ampere from 2021, while TITAN V relies on Volta from 2017. Ampere includes optimizations for modern AI frameworks.
Do they share the same TDP?▾
Both GPUs have a 250W TDP and PCIe form factor. Power draw remains identical, easing compatibility in shared systems.
Which is cheaper to rent, the A16 or the TITAN V?▾
Cloud rental prices for both the A16 and TITAN V 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 A16 have compared to the TITAN V?▾
The A16 has 16 GB of GDDR6 memory. The TITAN V has 12 GB of HBM2 memory.
Can I find A16 and TITAN V 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 A16 and the TITAN V?▾
The A16 uses the Ampere architecture (2021) while the TITAN V uses Volta (2017). The TITAN V delivers 3.1x the FP16 throughput and 2.8x the memory bandwidth of the A16.