Specifications Compared
| Spec | A16 | RTX 4070 |
|---|---|---|
| TDP | 250W | 200W |
| VRAM | 16 GB | 12-16 GB |
| CUDA Cores | 1,280 | 5,888 |
| FP8 (dense) | Not published | 116.6 TFLOPS |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Ampere | Ada Lovelace |
| FP16 (dense) | 17.9 TFLOPS | 58.3 TFLOPS |
| Form Factors | PCIe | PCIe |
| INT8 (dense) | 35.9 TOPS | 233.2 TOPS |
| Interconnect | PCIe 4.0 | PCIe 4.0 |
| Tensor Cores | 40 | 184 |
| FP32 Performance | 4.5 TFLOPS | 29.1 TFLOPS |
| Memory Bandwidth | 200 GB/s | 504 GB/s |
| FP8 (with sparsity) | Not published | 233.2 TFLOPS |
| FP16 (with sparsity) | 35.9 TFLOPS | 116.6 TFLOPS |
| INT8 (with sparsity) | 71.8 TOPS | 466.4 TOPS |
Performance Analysis
The FP16 dense figure of 58.3 TFLOPS on the RTX 4070 exceeds the 17.9 TFLOPS dense FP16 on the A16 by a factor of three while the FP32 value of 29.1 TFLOPS exceeds 4.5 TFLOPS by a factor of six. This delta indicates that the RTX 4070 completes dense FP16 operations for inference workloads in fewer cycles than the A16 and supports larger batch sizes when memory bandwidth reaches 504 GB/s compared with 200 GB/s. When sparsity is enabled the RTX 4070 FP16 figure of 116.6 TFLOPS remains more than three times the 35.9 TFLOPS with sparsity on the A16 so training and inference steps that benefit from sparsity still favor the higher throughput GPU. Memory bandwidth of 504 GB/s on the RTX 4070 allows greater data throughput per second than the 200 GB/s on the A16 which constrains batch sizes on memory intensive operations regardless of tensor core utilization.
Current On-Demand Offers
Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.
A16
A16 is not offered on-demand by any provider we track right now. See the A16 rental page for last-seen listed prices and a price alert.
RTX 4070
RTX 4070 is not offered on-demand by any provider we track right now. See the RTX 4070 rental page for last-seen listed prices and a price alert.
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When to Choose the A16
The A16 suits workloads that require 16 GB of dedicated GDDR6 memory at a TDP of 250 W and where FP32 performance of 4.5 TFLOPS meets requirements. Scenarios that prioritize INT8 dense performance of 35.9 TOPS over higher bandwidth favor the A16 in environments where power limits allow 250 W operation.
When to Choose the RTX 4070
The RTX 4070 suits workloads that require FP16 dense performance of 58.3 TFLOPS and memory bandwidth of 504 GB/s at a TDP of 200 W. Scenarios that benefit from FP32 performance of 29.1 TFLOPS and higher tensor throughput favor the RTX 4070 when lower power draw is acceptable.
Use Cases
The RTX 4070 provides FP16 dense performance of 58.3 TFLOPS and FP32 performance of 29.1 TFLOPS which exceed the A16 values of 17.9 TFLOPS and 4.5 TFLOPS.
The RTX 4070 delivers FP16 dense performance of 58.3 TFLOPS and memory bandwidth of 504 GB/s which support larger batch sizes than the A16 figures of 17.9 TFLOPS and 200 GB/s.
The RTX 4070 supplies memory bandwidth of 504 GB/s and FP16 dense performance of 58.3 TFLOPS which exceed the A16 values of 200 GB/s and 17.9 TFLOPS.
The A16 provides 16 GB GDDR6 memory and INT8 dense performance of 35.9 TOPS in a PCIe form factor that matches requirements when higher bandwidth is not essential.
Frequently Asked Questions
What is the FP16 dense performance difference between A16 and RTX 4070?▾
The RTX 4070 reaches 58.3 TFLOPS dense FP16 while the A16 reaches 17.9 TFLOPS dense FP16. This difference determines relative throughput for dense tensor operations.
How does memory bandwidth compare between the two GPUs?▾
The RTX 4070 provides 504 GB/s bandwidth while the A16 provides 200 GB/s bandwidth. The higher figure supports greater data movement per second during model execution.
Which GPU has higher FP32 performance?▾
The RTX 4070 delivers 29.1 TFLOPS FP32 while the A16 delivers 4.5 TFLOPS FP32. The ratio indicates faster execution of single precision workloads on the RTX 4070.
What TDP values are listed for each GPU?▾
The A16 lists 250 W TDP and the RTX 4070 lists 200 W TDP. These values affect power consumption in deployed instances.
Do both GPUs support the same interconnect?▾
Both the A16 and RTX 4070 use PCIe 4.0 interconnect in PCIe form factors. This commonality allows similar host connectivity options.
How does INT8 dense performance differ?▾
The RTX 4070 reaches 233.2 TOPS dense INT8 while the A16 reaches 35.9 TOPS dense INT8. The higher value on the RTX 4070 supports faster integer operations.
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 to 16 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 3.3x the dense FP16 throughput (58.3 vs 17.9 TFLOPS, both without sparsity) and 2.5x the memory bandwidth of the A16.
Rent these GPUs
Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.
Related comparisons
How this page is made
- Specifications come from the NVIDIA, AMD and Intel datasheets for the A16 and the RTX 4070. Dense and sparse throughput are listed separately.
- Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
- The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
- Read how we collect the data, or report an error on this page.
Next steps
- Rent A16Every current offer by provider, daily price history and a price alert.
- Rent RTX 4070Every current offer by provider, daily price history and a price alert.
- GPU price indexHow on-demand prices for the major GPUs have moved, updated daily.
- All GPUsEvery GPU we track, with current lows and provider counts.