Specifications Compared
| Spec | A16 | RTX-4070 |
|---|---|---|
| TDP | 250W | 200W |
| VRAM | 16 GB | 12 GB |
| CUDA Cores | 2,560 | 5,888 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 80 | 184 |
| FP16 Performance | 4.5 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 4.5 TFLOPS | 29.1 TFLOPS |
| Memory Bandwidth | 231 GB/s | 504 GB/s |
Performance Analysis
The RTX 4070 SUPER vastly outpaces the A16 in raw compute power: 35 TFLOPS FP16 and FP32 versus 4.5 TFLOPS on the A16. This gap translates to dramatically faster model training and inference times for the RTX 4070 SUPER, potentially reducing epochs by factors of 7 or more in deep learning workloads. Higher FP16 performance directly accelerates mixed-precision training, a staple in modern AI pipelines.
Memory bandwidth reveals another chasm: 504 GB/s on the RTX 4070 SUPER compared to 231 GB/s on the A16. Greater bandwidth supports larger batch sizes in training, minimizing overhead from data transfers and enabling efficient handling of high-resolution datasets. The A16's 16 GB VRAM edges out the RTX 4070 SUPER's 12 GB for memory-intensive tasks like multi-user VDI, but its lower throughput limits scalability in demanding AI scenarios. Power draw favors the RTX 4070 SUPER at 220W TDP over the A16's 250W.
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 4070 SUPER
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4070 Ti 12GB VRAM | 12GB | 6 vCPU 30GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the A16
Opt for the NVIDIA A16 in cloud environments requiring reliable availability and cost efficiency. With pricing from $0.47 per hour across 75 offers, it suits graphics-intensive virtualization, remote desktops, or light inference where 16 GB VRAM handles multiple sessions without exceeding budgets.
The A16 excels when PCIe form factor and Ampere stability matter for legacy software or VDI deployments, avoiding the RTX 4070 SUPER's current absence from cloud markets.
When to Choose the RTX 4070 SUPER
Choose the NVIDIA GeForce RTX 4070 SUPER for performance-critical local workloads. Its 35 TFLOPS FP16/FP32 and 504 GB/s bandwidth deliver superior speed in AI training, gaming, and rendering, outstripping the A16's 4.5 TFLOPS and 231 GB/s.
The lower 220W TDP and Ada Lovelace architecture make it ideal for desktop setups focused on Stable Diffusion or fine-tuning, where raw compute trumps cloud pricing.
Use Cases
The RTX 4070 SUPER's 35 TFLOPS FP32 outperforms the A16's 4.5 TFLOPS, enabling faster convergence on large models. Its 504 GB/s bandwidth supports bigger batches critical for training efficiency.
Superior 35 TFLOPS FP16 on RTX 4070 SUPER yields lower latency than A16's 4.5 TFLOPS. Higher bandwidth of 504 GB/s handles concurrent queries better.
RTX 4070 SUPER's compute edge at 35 TFLOPS accelerates parameter updates over A16's 4.5 TFLOPS. 12 GB VRAM suffices for most fine-tuning datasets.
Ada Lovelace architecture and 504 GB/s bandwidth on RTX 4070 SUPER generate images faster than A16's Ampere limits. 35 TFLOPS boosts diffusion steps significantly.
A16's 16 GB VRAM aids memory-heavy simulations at $0.47/hr cloud pricing. RTX 4070 SUPER's 35 TFLOPS excels in compute-bound HPC tasks.
Frequently Asked Questions
Which GPU has more VRAM?▾
The NVIDIA A16 provides 16 GB GDDR6 VRAM, exceeding the RTX 4070 SUPER's 12 GB GDDR6X. This makes A16 better for VRAM-bound multi-session workloads. RTX 4070 SUPER compensates with faster 504 GB/s bandwidth.
What is the performance difference in TFLOPS?▾
RTX 4070 SUPER delivers 35 TFLOPS in FP16 and FP32, compared to A16's 4.5 TFLOPS. This results in up to 7x faster compute for AI tasks. Bandwidth also favors RTX at 504 GB/s over 231 GB/s.
Which has lower power consumption?▾
RTX 4070 SUPER uses 220W TDP, lower than A16's 250W. This efficiency suits desktop builds. Both share PCIe form factor.
Is RTX 4070 SUPER available on cloud platforms?▾
No live cloud offers exist for RTX 4070 SUPER currently. A16 starts at $0.47 per hour across 75 offers. Local purchase is required for RTX 4070 SUPER.
Which architecture is newer?▾
RTX 4070 SUPER uses Ada Lovelace from 2023, newer than A16's Ampere of 2021. Ada provides better efficiency per watt. A16 remains viable for cost-sensitive cloud use.
How does memory bandwidth compare?▾
RTX 4070 SUPER offers 504 GB/s, more than double A16's 231 GB/s. Higher bandwidth improves data throughput for training. A16's extra VRAM helps in some scenarios.
Which is cheaper to rent, the A16 or the RTX 4070?▾
Cloud rental prices for both the A16 and RTX 4070 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 4070?▾
The A16 has 16 GB of GDDR6 memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find A16 and RTX 4070 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 4070?▾
The A16 uses the Ampere architecture (2021) while the RTX 4070 uses Ada Lovelace (2023). The RTX 4070 delivers 6.5x the FP16 throughput and 2.2x the memory bandwidth of the A16.