Specifications Compared
| Spec | A16 | GTX-1070 |
|---|---|---|
| TDP | 250W | 150W |
| VRAM | 16 GB | 8 GB |
| CUDA Cores | 2,560 | 1,920 |
| Memory Type | GDDR6 | GDDR5 |
| Architecture | Ampere | Pascal |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 80 | |
| FP16 Performance | 4.5 TFLOPS | 6.5 TFLOPS |
| FP32 Performance | 4.5 TFLOPS | 6.5 TFLOPS |
| Memory Bandwidth | 231 GB/s | 256 GB/s |
Performance Analysis
FP16 performance reaches 4.5 TFLOPS on the A16 and 6.5 TFLOPS on the GTX 1070, with identical FP32 figures, indicating the Pascal GTX 1070 holds a 44 percent compute advantage per GPU. This edge suits lighter inference or training where raw throughput matters more than memory, but the A16's Ampere architecture includes modern tensor cores absent in Pascal, enhancing efficiency for mixed-precision AI tasks.
The A16's 16 GB GDDR6 VRAM doubles the GTX 1070's 8 GB GDDR5, enabling larger batch sizes in model training or inference; for instance, LLMs exceeding 8 GB cannot fit on the GTX 1070 without severe limitations. Memory bandwidth is close at 231 GB/s for A16 versus 256 GB/s for GTX 1070, a 10 percent deficit that minimally impacts most workloads but could bottleneck high-throughput data movement.
Higher 250 W TDP on the A16 demands robust cooling in dense cloud racks, while the GTX 1070's 150 W suits power-constrained desktops. Overall, VRAM capacity tips scales for memory-intensive modern applications despite the GTX 1070's perflop lead.
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 A16 in cloud environments requiring 16 GB VRAM for large-scale LLM inference or fine-tuning, where models exceed the GTX 1070's 8 GB limit. Its availability at $0.47 per hour average supports bursty workloads without upfront hardware costs, leveraging Ampere's 2021 architecture for tensor core acceleration.
Multi-tenant cloud setups benefit from the A16's PCIe form factor and 231 GB/s bandwidth for stable, scalable performance across 74 live offers.
When to Choose the GTX 1070
Choose the GTX 1070 for local desktops with power budgets under 150 W TDP, ideal for hobbyist gaming or small-scale compute where 6.5 TFLOPS FP16 outperforms the A16's 4.5 TFLOPS. Its 256 GB/s bandwidth aids quick data access in VRAM-light tasks like basic Stable Diffusion runs fitting within 8 GB.
Legacy Pascal setups persist where cloud access is unavailable, prioritizing lower upfront costs over the A16's rental model.
Use Cases
A16's 16 GB VRAM supports larger datasets and models exceeding GTX 1070's 8 GB limit. Ampere architecture aids efficient training despite 4.5 TFLOPS versus 6.5 TFLOPS.
16 GB GDDR6 enables batch inference for production LLMs on A16, unavailable on GTX 1070's 8 GB. Cloud pricing at $0.48 per hour average scales deployments.
Double VRAM on A16 handles fine-tuning of 7B+ parameter models, while GTX 1070 bottlenecks at 8 GB. 231 GB/s bandwidth sustains data flow.
GTX 1070's 6.5 TFLOPS and 256 GB/s bandwidth accelerate image generation within 8 GB VRAM limits. Lower 150 W TDP fits local setups.
GTX 1070 suffices for FP32 tasks under 8 GB with 6.5 TFLOPS; A16 excels in memory-heavy simulations via 16 GB VRAM.
Frequently Asked Questions
What is the VRAM difference between A16 and GTX 1070?▾
The A16 provides 16 GB GDDR6 VRAM, double the GTX 1070's 8 GB GDDR5. This allows A16 to manage larger AI models without swapping. Bandwidth is 231 GB/s on A16 versus 256 GB/s on GTX 1070.
Which has higher compute performance?▾
GTX 1070 delivers 6.5 TFLOPS in FP16 and FP32, surpassing A16's 4.5 TFLOPS by 44 percent. A16 compensates with modern Ampere tensor cores. Both use PCIe form factors.
What are the power requirements?▾
A16 has a 250 W TDP, higher than GTX 1070's 150 W. This impacts cooling in cloud racks for A16. GTX 1070 suits efficient local power setups.
Is A16 available in the cloud?▾
A16 offers start from $0.47 per hour, averaging $0.48 across 74 live deals. GTX 1070 has no current cloud offers. A16 targets scalable rentals.
How do architectures compare?▾
A16 uses 2021 Ampere with tensor cores; GTX 1070 is 2016 Pascal without them. A16's 16 GB VRAM aids AI; GTX 1070's 6.5 TFLOPS favors legacy compute.
Which is better for large models?▾
A16's 16 GB VRAM handles models over 8 GB, unlike GTX 1070. Inference batch sizes increase on A16 due to memory capacity. Pricing enables cloud testing.
Which is cheaper to rent, the A16 or the GTX 1070?▾
Cloud rental prices for both the A16 and GTX 1070 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 GTX 1070?▾
The A16 has 16 GB of GDDR6 memory. The GTX 1070 has 8 GB of GDDR5 memory.
Can I find A16 and GTX 1070 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 GTX 1070?▾
The A16 uses the Ampere architecture (2021) while the GTX 1070 uses Pascal (2016). The GTX 1070 delivers 1.4x the FP16 throughput and 1.1x the memory bandwidth of the A16.