Specifications Compared
| Spec | A16 | RTX-3060 |
|---|---|---|
| TDP | 250W | 170W |
| VRAM | 16 GB | 12 GB |
| CUDA Cores | 2,560 | 3,584 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ampere | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 80 | 112 |
| FP16 Performance | 4.5 TFLOPS | 12.7 TFLOPS |
| FP32 Performance | 4.5 TFLOPS | 12.7 TFLOPS |
| Memory Bandwidth | 231 GB/s | 360 GB/s |
Performance Analysis
RTX 3060 Ti demonstrates superior compute capability with 12.7 TFLOPS in FP16 and FP32 compared to A16's 4.5 TFLOPS: this enables approximately three times faster matrix operations critical for neural network training and inference. Training large models completes epochs quicker on RTX 3060 Ti, reducing total compute time.
Memory bandwidth of 360 GB/s on RTX 3060 Ti exceeds A16's 231 GB/s, allowing larger batch sizes in inference pipelines without memory saturation. This sustains higher throughput for real-time applications like image generation.
A16's 16 GB VRAM surpasses RTX 3060 Ti's 12 GB, accommodating bigger models or multi-instance setups during inference. However, RTX 3060 Ti's lower 170W TDP versus 250W enhances efficiency in power-constrained cloud instances.
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 |
RTX 3060 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() Vast.ai | NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 24 vCPU 28GB RAM 970GB Storage | Texas | $0.23/GPU/hr | Available | ||
![]() Vast.ai | NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 36 vCPU 31GB RAM 862GB Storage | Texas | $0.23/GPU/hr | Available | ||
![]() Vast.ai | 2×NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 128 vCPU 168GB RAM 715GB Storage | Texas | $0.23/GPU/hr $0.45/hr total (2×) | Available | ||
![]() Vast.ai | 2×NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 64 vCPU 126GB RAM 3050GB Storage | Texas | $0.23/GPU/hr $0.45/hr total (2×) | Available |
When to Choose the A16
Opt for A16 in virtualization-heavy workloads requiring 16 GB VRAM to handle multiple users or large textures. Its datacenter design suits enterprise remote graphics at $0.47 per hour starting price across 77 offers.
Inference on memory-intensive models benefits from the extra 4 GB VRAM over RTX 3060 Ti, preventing out-of-memory errors for batch sizes exceeding 12 GB limits.
When to Choose the RTX 3060 Ti
Select RTX 3060 Ti for compute-bound tasks where 12.7 TFLOPS FP16 performance triples A16's 4.5 TFLOPS, accelerating training and inference. Its $0.03 per hour starting price yields over 15 times better value than A16's $0.47 per hour.
Power-sensitive deployments favor the 170W TDP, enabling denser cloud packing compared to A16's 250W draw.
Use Cases
RTX 3060 Ti's 12.7 TFLOPS FP16 outperforms A16's 4.5 TFLOPS for faster gradient computations. Lower $0.03 per hour pricing reduces training costs significantly.
A16's 16 GB VRAM supports larger LLMs without splitting batches compared to 12 GB on RTX 3060 Ti. It fits multi-user inference in datacenters.
RTX 3060 Ti's 360 GB/s bandwidth handles larger fine-tuning batches than A16's 231 GB/s. Superior 12.7 TFLOPS speeds iterations.
RTX 3060 Ti's higher 12.7 TFLOPS FP16 generates images faster than A16's 4.5 TFLOPS. Lower power at 170W suits prolonged rendering.
A16's 16 GB VRAM aids large simulations; RTX 3060 Ti's 12.7 TFLOPS excels in FP32-heavy tasks. Choice depends on memory versus speed needs.
Frequently Asked Questions
Which GPU has more VRAM: A16 or RTX 3060 Ti?▾
A16 provides 16 GB GDDR6 VRAM compared to 12 GB on RTX 3060 Ti. This advantage supports larger models in memory-bound workloads. Bandwidth remains lower at 231 GB/s on A16.
What are the FP32 performance differences?▾
RTX 3060 Ti delivers 12.7 TFLOPS FP32, nearly three times A16's 4.5 TFLOPS. This impacts scientific simulations and training speed. Both share Ampere architecture.
How do cloud prices compare?▾
RTX 3060 Ti starts at $0.03 per hour averaging $0.06 across 2 offers, versus A16 at $0.47 per hour averaging $0.48 across 77 offers. RTX 3060 Ti offers better value for compute.
Which has higher memory bandwidth?▾
RTX 3060 Ti achieves 360 GB/s bandwidth over A16's 231 GB/s. This enables larger batches in inference. VRAM is higher on A16 at 16 GB.
What are the TDP ratings?▾
A16 consumes 250W TDP while RTX 3060 Ti uses 170W. Lower TDP on RTX 3060 Ti improves efficiency in cloud clusters. Both fit PCIe form factors.
Are both GPUs from the same generation?▾
Yes, both use Ampere architecture from 2021. A16 targets datacenters; RTX 3060 Ti focuses on gaming and prosumer compute. Performance favors RTX 3060 Ti at 12.7 TFLOPS.
Which is cheaper to rent, the A16 or the RTX 3060?▾
Cloud rental prices for both the A16 and RTX 3060 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 RTX 3060?▾
The A16 has 16 GB of GDDR6 memory. The RTX 3060 has 12 GB of GDDR6 memory.
Can I find A16 and RTX 3060 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 RTX 3060?▾
The A16 uses the Ampere architecture (2021) while the RTX 3060 uses Ampere (2021). The RTX 3060 delivers 2.8x the FP16 throughput and 1.6x the memory bandwidth of the A16.
