Specifications Compared
| Spec | A16 | RTX-3090 |
|---|---|---|
| TDP | 250W | 350W |
| VRAM | 16 GB | 24 GB |
| CUDA Cores | 2,560 | 10,496 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Ampere | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 80 | 328 |
| FP16 Performance | 4.5 TFLOPS | 35.6 TFLOPS |
| FP32 Performance | 4.5 TFLOPS | 35.6 TFLOPS |
| Memory Bandwidth | 231 GB/s | 936 GB/s |
Performance Analysis
The RTX 3090 Ti vastly outperforms the A16 in raw compute: 35.6 TFLOPS FP16 and FP32 versus 4.5 TFLOPS, enabling up to eightfold faster matrix operations critical for deep learning. This delta accelerates LLM training epochs and inference queries, reducing time from hours to minutes on equivalent datasets. FP16 parity with FP32 on both ensures mixed-precision training efficiency, but the RTX 3090 Ti's scale dominates.
Memory bandwidth defines batch size limits: the RTX 3090 Ti's 936 GB/s supports batches four times larger than the A16's 231 GB/s, minimizing overhead in memory-bound tasks like fine-tuning. The 24 GB GDDR6X versus 16 GB GDDR6 allows larger models without swapping, vital for Stable Diffusion or scientific simulations. Higher 350W TDP on the RTX 3090 Ti sustains peaks longer than the A16's 250W, though both fit PCIe slots.
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 3090 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Wilmington, Delaware | $0.20/GPU/hr | Available | ||
TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Dallas, Texas | $0.21/GPU/hr | Available | ||
 Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 403GB RAM 153GB Storage | Iceland | $0.25/GPU/hr $1.01/hr total (4×) | Available | ||
Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 252GB RAM 1440GB Storage | Finland | $0.27/GPU/hr $1.07/hr total (4×) | Available | ||
 LeaderGPU | 8×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.29/GPU/hr $2.29/hr total (8×) | Available |
When to Choose the A16
The A16 excels in cost-sensitive graphics virtualization or light inference where 16 GB GDDR6 suffices at $0.48/hr average. Its 250W TDP and 74 cloud offers make it ideal for dense deployments with low compute demands, such as VDI or small-scale FP16 tasks at 4.5 TFLOPS.
When to Choose the RTX 3090 Ti
Choose the RTX 3090 Ti for high-throughput ML workloads leveraging 35.6 TFLOPS FP16/FP32 and 936 GB/s bandwidth at $0.25/hr average. Its 24 GB VRAM and NVLink support scale training or Stable Diffusion, outperforming the A16 in batch-heavy scenarios despite fewer 5 offers.
Use Cases
The RTX 3090 Ti's 35.6 TFLOPS FP16 outperforms the A16's 4.5 TFLOPS, speeding epochs. Its 24 GB VRAM handles larger models.
936 GB/s bandwidth on the RTX 3090 Ti supports bigger batches than the A16's 231 GB/s. Lower $0.25/hr pricing enhances scalability.
RTX 3090 Ti's 35.6 TFLOPS FP32 accelerates parameter updates over A16's 4.5 TFLOPS. NVLink aids multi-GPU setups.
24 GB GDDR6X on RTX 3090 Ti fits high-res generations versus A16's 16 GB limit. Higher throughput yields faster renders.
RTX 3090 Ti's 936 GB/s bandwidth processes large datasets quicker than A16's 231 GB/s. 35.6 TFLOPS suits simulations.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 3090 Ti provides 24 GB GDDR6X. The A16 offers 16 GB GDDR6. This makes the RTX 3090 Ti better for memory-intensive models.
What are the FP32 performance differences?▾
RTX 3090 Ti delivers 35.6 TFLOPS FP32. A16 achieves 4.5 TFLOPS FP32. The gap favors RTX 3090 Ti for compute-heavy tasks.
How do cloud prices compare?▾
A16 averages $0.48/hr across 74 offers from $0.47/hr. RTX 3090 Ti averages $0.25/hr across 5 offers from $0.10/hr. RTX 3090 Ti offers better value.
Which has higher memory bandwidth?▾
RTX 3090 Ti reaches 936 GB/s. A16 provides 231 GB/s. Higher bandwidth on RTX 3090 Ti improves batch sizes.
What are the TDP ratings?▾
A16 uses 250W TDP. RTX 3090 Ti requires 350W TDP. Both fit PCIe, but RTX 3090 Ti demands more power for peaks.
Do they support NVLink?▾
RTX 3090 Ti includes NVLink interconnect. A16 lacks it. NVLink enables faster multi-GPU communication on RTX 3090 Ti.
Which is cheaper to rent, the A16 or the RTX 3090?▾
Cloud rental prices for both the A16 and RTX 3090 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 3090?▾
The A16 has 16 GB of GDDR6 memory. The RTX 3090 has 24 GB of GDDR6X memory.
Can I find A16 and RTX 3090 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 3090?▾
The A16 uses the Ampere architecture (2021) while the RTX 3090 uses Ampere (2020). The RTX 3090 delivers 7.9x the FP16 throughput and 4.1x the memory bandwidth of the A16.