Specifications Compared
| Spec | A16 | RTX-2070 |
|---|---|---|
| TDP | 250W | 175W |
| VRAM | 16 GB | 8 GB |
| CUDA Cores | 2,560 | 2,304 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ampere | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 80 | 288 |
| FP16 Performance | 4.5 TFLOPS | 7.5 TFLOPS |
| FP32 Performance | 4.5 TFLOPS | 7.5 TFLOPS |
| Memory Bandwidth | 231 GB/s | 448 GB/s |
Performance Analysis
Compute specifications reveal the RTX 2070's edge in raw performance: 7.5 TFLOPS FP16 and FP32 surpass the A16's 4.5 TFLOPS in both metrics, enabling faster matrix operations critical for deep learning training and inference. This delta means the RTX 2070 processes tensor workloads 67% quicker based on TFLOPS ratings, benefiting single-model training or low-latency inference where peak throughput matters.
Memory bandwidth underscores a key disparity: the RTX 2070's 448 GB/s doubles the A16's 231 GB/s, supporting larger batch sizes in bandwidth-bound tasks like image generation or simulations without stalling data transfers. Conversely, the A16's 16 GB VRAM versus 8 GB allows handling models exceeding 8 GB, such as larger LLMs during fine-tuning, preventing out-of-memory errors that plague the RTX 2070.
Power efficiency varies with TDP: the RTX 2070's 175W yields higher TFLOPS per watt at 0.043 TFLOPS/W FP32 compared to the A16's 0.018 TFLOPS/W, ideal for cost-sensitive inference. The A16 suits virtualized environments despite lower bandwidth, leveraging Ampere features for better multi-GPU scaling absent in the RTX 2070's NVLink.
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 excels in workloads demanding high VRAM capacity, such as fine-tuning large language models over 8 GB. Its 16 GB GDDR6 supports bigger batch sizes or multiple concurrent inferences in cloud virtualization, where 74 live offers ensure availability at $0.47 per hour.
Datacenter scenarios like VDI or multi-tenant AI serving favor the A16's Ampere architecture and 250W TDP for reliable 24/7 operation.
When to Choose the RTX 2070
Opt for the RTX 2070 in budget-driven tasks where 7.5 TFLOPS FP16/FP32 and 448 GB/s bandwidth accelerate training or Stable Diffusion at $0.02 per hour. Its lower 175W TDP suits short bursts or power-constrained instances.
Gaming-adjacent compute or single-user prototyping benefits from Turing's NVLink and higher throughput per dollar across 2 offers.
Use Cases
The A16's 16 GB VRAM accommodates larger models and batches compared to the RTX 2070's 8 GB. Ampere architecture provides better scaling for extended training sessions.
RTX 2070 offers 7.5 TFLOPS and 448 GB/s bandwidth for low-latency single queries, while A16's 16 GB VRAM suits batched or multi-user inference.
16 GB VRAM on A16 prevents memory errors with datasets over 8 GB, essential for fine-tuning LLMs. 250W TDP supports prolonged workloads.
RTX 2070's 448 GB/s bandwidth and 7.5 TFLOPS FP16 speed up image generation. Lower $0.02 per hour cost fits iterative creative tasks.
Higher 7.5 TFLOPS FP32 and 448 GB/s bandwidth on RTX 2070 accelerate simulations. 175W TDP enables efficient compute on modest budgets.
Frequently Asked Questions
Which GPU has more VRAM: A16 or RTX 2070?▾
The A16 provides 16 GB GDDR6 VRAM, double the RTX 2070's 8 GB GDDR6. This makes the A16 better for large models exceeding 8 GB.
What is the performance difference in TFLOPS?▾
RTX 2070 delivers 7.5 TFLOPS FP16 and FP32, exceeding A16's 4.5 TFLOPS in both. This gives RTX 2070 a 67% compute advantage.
How do cloud prices compare for A16 and RTX 2070?▾
A16 starts at $0.47 per hour averaging $0.48 across 74 offers. RTX 2070 is $0.02 per hour averaging $0.04 across 2 offers.
Which has higher memory bandwidth?▾
RTX 2070 offers 448 GB/s, more than double the A16's 231 GB/s. Higher bandwidth aids bandwidth-limited tasks like large batch processing.
What are the TDP ratings?▾
A16 requires 250W TDP, higher than RTX 2070's 175W. RTX 2070 provides better efficiency at 0.043 TFLOPS per watt FP32.
Which architecture is newer?▾
A16 uses Ampere from 2021, newer than RTX 2070's Turing from 2018. Ampere includes optimizations for AI workloads.
Which is cheaper to rent, the A16 or the RTX 2070?▾
Cloud rental prices for both the A16 and RTX 2070 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 2070?▾
The A16 has 16 GB of GDDR6 memory. The RTX 2070 has 8 GB of GDDR6 memory.
Can I find A16 and RTX 2070 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 2070?▾
The A16 uses the Ampere architecture (2021) while the RTX 2070 uses Turing (2018). The RTX 2070 delivers 1.7x the FP16 throughput and 1.9x the memory bandwidth of the A16.