Specifications Compared
| Spec | A16 | RTX-4080 |
|---|---|---|
| TDP | 250W | 320W |
| VRAM | 16 GB | 16 GB |
| CUDA Cores | 2,560 | 9,728 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 80 | 304 |
| FP16 Performance | 4.5 TFLOPS | 48.7 TFLOPS |
| FP32 Performance | 4.5 TFLOPS | 48.7 TFLOPS |
| Memory Bandwidth | 231 GB/s | 717 GB/s |
Performance Analysis
The RTX 4080 SUPER demonstrates superior compute performance over the A16: its 48.7 TFLOPS in FP16 and FP32 exceeds the A16's 4.5 TFLOPS by a factor of over 10 times. This delta translates to significantly faster model training and inference in deep learning pipelines, where FP16 accelerates matrix operations and FP32 handles general computations. For instance, training a large language model on the RTX 4080 SUPER completes epochs roughly 10 times quicker than on the A16, assuming equivalent batch sizes. Memory bandwidth plays a critical role in throughput: the RTX 4080 SUPER's 717 GB/s enables larger batch sizes without bottlenecks, supporting efficient data movement for high-resolution image generation or complex simulations, unlike the A16's 231 GB/s which limits scalability. Power consumption differs modestly, with the A16 at 250W TDP versus the RTX 4080 SUPER's 320W, but the latter's performance per watt ratio surpasses by over eightfold. The GDDR6X memory on the RTX 4080 SUPER enhances sustained workloads compared to the A16's GDDR6.
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 4080 SUPER
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4080 SUPER 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA GeForce RTX 4080 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the A16
The NVIDIA A16 suits scenarios prioritizing availability and power efficiency. With 76 live cloud offers compared to the RTX 4080 SUPER's 3, it ensures easier procurement for time-sensitive deployments. Its 250W TDP allows denser server packing in power-constrained data centers, ideal for lightweight inference or virtual desktop infrastructure where 4.5 TFLOPS suffices and 16 GB VRAM handles modest models.
When to Choose the RTX 4080 SUPER
The NVIDIA GeForce RTX 4080 SUPER excels in performance-intensive applications. Its 48.7 TFLOPS FP16 and FP32 performance, paired with 717 GB/s bandwidth, accelerates demanding tasks like large-scale training far beyond the A16's capabilities. At an average cloud price of $0.32 per hour versus the A16's $0.48, it delivers better value for high-throughput workloads despite higher 320W TDP.
Use Cases
The RTX 4080 SUPER's 48.7 TFLOPS FP16 performance accelerates training epochs over 10 times faster than the A16's 4.5 TFLOPS. Higher 717 GB/s bandwidth handles large datasets without bottlenecks.
RTX 4080 SUPER delivers 48.7 TFLOPS for low-latency inference on 16 GB models, far exceeding A16's 4.5 TFLOPS. It supports higher throughput via 717 GB/s bandwidth.
Fine-tuning benefits from RTX 4080 SUPER's 10x compute advantage at 48.7 TFLOPS over A16's 4.5 TFLOPS. Equivalent 16 GB VRAM fits models efficiently.
RTX 4080 SUPER generates images faster with 48.7 TFLOPS and 717 GB/s bandwidth, enabling larger batches than A16's 231 GB/s limit.
The 48.7 TFLOPS FP32 on RTX 4080 SUPER speeds simulations over A16's 4.5 TFLOPS. Bandwidth of 717 GB/s improves data-intensive computations.
Frequently Asked Questions
Which GPU has higher compute performance, A16 or RTX 4080 SUPER?▾
The RTX 4080 SUPER provides 48.7 TFLOPS in FP16 and FP32, surpassing the A16's 4.5 TFLOPS by over 10 times. This makes it suitable for demanding ML tasks. Both share 16 GB VRAM.
How do memory bandwidths compare between A16 and RTX 4080 SUPER?▾
RTX 4080 SUPER offers 717 GB/s, more than three times the A16's 231 GB/s. Higher bandwidth supports larger batch sizes in training. A16 uses GDDR6, RTX 4080 SUPER uses GDDR6X.
What are the cloud pricing differences for these GPUs?▾
A16 starts at $0.47 per hour, averaging $0.48 across 76 offers. RTX 4080 SUPER starts at $0.17 per hour, averaging $0.32 across 3 offers. Pricing varies by provider.
Which GPU is more power efficient?▾
RTX 4080 SUPER achieves higher performance per watt with 48.7 TFLOPS at 320W TDP, versus A16's 4.5 TFLOPS at 250W. A16 suits lower power setups. Both are PCIe.
Do A16 and RTX 4080 SUPER have the same VRAM?▾
Yes, both provide 16 GB VRAM. A16 uses GDDR6, RTX 4080 SUPER uses faster GDDR6X. This equality aids direct comparisons for memory-bound tasks.
What architectures do these GPUs use?▾
A16 employs Ampere from 2021, RTX 4080 SUPER uses Ada Lovelace from 2022. Newer architecture yields RTX 4080 SUPER's superior 48.7 TFLOPS performance.
Which is cheaper to rent, the A16 or the RTX 4080?▾
Cloud rental prices for both the A16 and RTX 4080 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 4080?▾
The A16 has 16 GB of GDDR6 memory. The RTX 4080 has 16 GB of GDDR6X memory.
Can I find A16 and RTX 4080 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 4080?▾
The A16 uses the Ampere architecture (2021) while the RTX 4080 uses Ada Lovelace (2022). The RTX 4080 delivers 10.8x the FP16 throughput and 3.1x the memory bandwidth of the A16.