Specifications Compared
| Spec | A16 | RTX-3080 |
|---|---|---|
| TDP | 250W | 320W |
| VRAM | 16 GB | 10-12 GB |
| CUDA Cores | 2,560 | 8,704 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Ampere | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 80 | 272 |
| FP16 Performance | 4.5 TFLOPS | 29.8 TFLOPS |
| FP32 Performance | 4.5 TFLOPS | 29.8 TFLOPS |
| Memory Bandwidth | 231 GB/s | 760 GB/s |
Performance Analysis
The RTX 3080 Ti outperforms the A16 significantly in raw compute: its 29.8 TFLOPS FP16 and FP32 dwarf the A16's 4.5 TFLOPS in both metrics. This gap translates to faster model training and inference on the RTX 3080 Ti, where FP16 handles half-precision operations common in deep learning frameworks. For training large language models, the RTX 3080 Ti processes iterations over six times quicker based on these figures.
Memory bandwidth reveals another divide: 760 GB/s on the RTX 3080 Ti versus 231 GB/s on the A16. Higher bandwidth enables larger batch sizes without bottlenecks, ideal for inference at scale. The A16's 16 GB VRAM supports bigger models than the RTX 3080 Ti's 10 to 12 GB, but its lower bandwidth limits throughput. Power draw differs too: 320W for RTX 3080 Ti versus 250W for A16, impacting dense deployments.
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 suits multi-user virtual desktop infrastructure or low-intensity inference. Its 16 GB GDDR6 VRAM accommodates multiple lightweight sessions, and 77 cloud offers at $0.47 to $0.48 per hour provide availability. Scenarios like remote graphics for 16 users per card favor the A16 over single high-performance alternatives.
When to Choose the RTX 3080 Ti
The RTX 3080 Ti excels in high-throughput machine learning tasks. With 29.8 TFLOPS FP16 performance and 760 GB/s bandwidth, it handles training and Stable Diffusion efficiently. At $0.08 to $0.14 per hour, it offers superior value for compute-intensive workloads compared to the A16's 4.5 TFLOPS.
Use Cases
The RTX 3080 Ti's 29.8 TFLOPS FP16 enables faster training iterations than the A16's 4.5 TFLOPS. Higher 760 GB/s bandwidth supports larger batches.
RTX 3080 Ti handles high-throughput inference with 29.8 TFLOPS and 760 GB/s bandwidth. A16's lower specs limit scale.
29.8 TFLOPS FP32 on RTX 3080 Ti accelerates fine-tuning over A16's 4.5 TFLOPS. Cost at $0.14 per hour adds value.
RTX 3080 Ti's superior FP16 performance and bandwidth generate images faster. Gaming-oriented architecture optimizes diffusion models.
A16's 16 GB VRAM aids memory-heavy simulations; RTX 3080 Ti's 29.8 TFLOPS speeds FP32 computations. Choice depends on batch size needs.
Frequently Asked Questions
Which has more VRAM: A16 or RTX 3080 Ti?▾
The A16 provides 16 GB GDDR6 VRAM. The RTX 3080 Ti offers 10 to 12 GB GDDR6X. A16 suits larger models.
What is the performance difference in TFLOPS?▾
RTX 3080 Ti delivers 29.8 TFLOPS FP16 and FP32. A16 provides 4.5 TFLOPS in both. RTX 3080 Ti is over six times faster.
How do cloud prices compare?▾
A16 starts at $0.47 per hour, averaging $0.48 across 77 offers. RTX 3080 Ti starts at $0.08 per hour, averaging $0.14 across 4 offers.
Which has higher memory bandwidth?▾
RTX 3080 Ti achieves 760 GB/s. A16 reaches 231 GB/s. Higher bandwidth benefits large batch processing.
What are the TDP ratings?▾
A16 consumes 250W TDP. RTX 3080 Ti uses 320W TDP. A16 fits lower-power setups.
Are both PCIe form factors?▾
Yes, both A16 and RTX 3080 Ti use PCIe form factors. No interconnect specified for either.
Which is cheaper to rent, the A16 or the RTX 3080?▾
Cloud rental prices for both the A16 and RTX 3080 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 3080?▾
The A16 has 16 GB of GDDR6 memory. The RTX 3080 has 10 to 12 GB of GDDR6X memory.
Can I find A16 and RTX 3080 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 3080?▾
The A16 uses the Ampere architecture (2021) while the RTX 3080 uses Ampere (2020). The RTX 3080 delivers 6.6x the FP16 throughput and 3.3x the memory bandwidth of the A16.