Specifications Compared
| Spec | A16 | RTX-3070 |
|---|---|---|
| TDP | 250W | 220W |
| VRAM | 16 GB | 8 GB |
| CUDA Cores | 2,560 | 5,888 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ampere | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 80 | 184 |
| FP16 Performance | 4.5 TFLOPS | 20.3 TFLOPS |
| FP32 Performance | 4.5 TFLOPS | 20.3 TFLOPS |
| Memory Bandwidth | 231 GB/s | 448 GB/s |
Performance Analysis
Compute performance defines the core difference: the RTX 3070 Ti delivers 20.3 TFLOPS in FP16 and FP32, over four times the A16's 4.5 TFLOPS, accelerating machine learning training and inference by enabling faster iterations on models. This FP16/FP32 parity on both GPUs suits mixed-precision workflows common in deep learning. The RTX 3070 Ti's 448 GB/s memory bandwidth, nearly double the A16's 231 GB/s, supports larger batch sizes in training, reducing overhead from data transfers. However, the A16's 16 GB VRAM versus 8 GB allows loading bigger models or handling multiple instances without swapping, crucial for inference on large language models. Power draw is close, with the RTX 3070 Ti at 220W slightly under the A16's 250W, aiding density in clouds.
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
Opt for the NVIDIA A16 in memory-constrained environments needing 16 GB GDDR6 VRAM, such as virtual desktop infrastructure for 16 to 64 users per GPU. Its datacenter optimizations excel in graphics remoting and light compute where double the VRAM of the RTX 3070 Ti prevents out-of-memory errors. At $0.48 per hour average, it suits steady, multi-tenant workloads over raw speed.
When to Choose the RTX 3070 Ti
Choose the NVIDIA GeForce RTX 3070 Ti for performance-driven tasks leveraging 20.3 TFLOPS FP16/FP32 and 448 GB/s bandwidth, ideal for single-user machine learning training or gaming workloads. Its $0.08 per hour average pricing delivers superior value, nearly six times cheaper than the A16, for high-throughput inference or Stable Diffusion generation.
Use Cases
The RTX 3070 Ti's 20.3 TFLOPS FP16/FP32 crushes the A16's 4.5 TFLOPS, speeding up gradient computations. Higher 448 GB/s bandwidth handles larger batches efficiently.
RTX 3070 Ti provides 20.3 TFLOPS for low-latency requests, with 448 GB/s bandwidth aiding throughput. A16's extra VRAM helps only for very large models exceeding 8 GB.
Superior 20.3 TFLOPS on RTX 3070 Ti accelerates parameter updates over A16's 4.5 TFLOPS. Cost at $0.08 per hour makes extended fine-tuning economical.
RTX 3070 Ti's 20.3 TFLOPS and 448 GB/s bandwidth generate images faster than A16's 4.5 TFLOPS. Gaming heritage optimizes diffusion models.
RTX 3070 Ti excels in FP32-heavy simulations at 20.3 TFLOPS; A16's 16 GB VRAM suits data-parallel codes. Choice depends on memory needs versus speed.
Frequently Asked Questions
Which GPU has more VRAM: A16 or RTX 3070 Ti?▾
The NVIDIA A16 provides 16 GB GDDR6 VRAM, double the NVIDIA GeForce RTX 3070 Ti's 8 GB. This benefits large model loading on the A16. RTX 3070 Ti compensates with 448 GB/s bandwidth.
What is the performance difference in TFLOPS?▾
RTX 3070 Ti offers 20.3 TFLOPS in FP16 and FP32, versus A16's 4.5 TFLOPS. This gap translates to over 4x faster compute on RTX 3070 Ti. Both share Ampere architecture parity in precision.
Which is cheaper in the cloud?▾
RTX 3070 Ti pricing starts at $0.06 per hour (average $0.08 across 2 offers), far below A16's $0.47 per hour (average $0.48 across 77 offers). RTX 3070 Ti yields best performance per dollar.
How do TDPs compare?▾
A16 draws 250W, slightly more than RTX 3070 Ti's 220W. Both fit PCIe form factors for cloud instances. Lower TDP on RTX 3070 Ti aids power-efficient deployments.
Is A16 or RTX 3070 Ti better for ML training?▾
RTX 3070 Ti dominates with 20.3 TFLOPS and 448 GB/s bandwidth for faster training epochs. A16's 16 GB VRAM helps only if models exceed 8 GB. Price favors RTX 3070 Ti at $0.08 per hour.
What architectures do they use?▾
Both employ NVIDIA Ampere: A16 from 2021, RTX 3070 Ti from 2020. Shared tensor cores enable modern ML. Differences stem from datacenter versus consumer tuning.
Which is cheaper to rent, the A16 or the RTX 3070?▾
Cloud rental prices for both the A16 and RTX 3070 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 3070?▾
The A16 has 16 GB of GDDR6 memory. The RTX 3070 has 8 GB of GDDR6 memory.
Can I find A16 and RTX 3070 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 3070?▾
The A16 uses the Ampere architecture (2021) while the RTX 3070 uses Ampere (2020). The RTX 3070 delivers 4.5x the FP16 throughput and 1.9x the memory bandwidth of the A16.