Specifications Compared
| Spec | A16 | L4 |
|---|---|---|
| TDP | 250W | 72W |
| VRAM | 16 GB | 24 GB |
| CUDA Cores | 1,280 | 7,424 |
| FP8 (dense) | Not published | 242 TFLOPS |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ampere | Ada Lovelace |
| FP16 (dense) | 17.9 TFLOPS | 121 TFLOPS |
| Form Factors | PCIe | PCIe |
| INT8 (dense) | 35.9 TOPS | 242 TOPS |
| Interconnect | PCIe 4.0 | PCIe 4.0 |
| Tensor Cores | 40 | 232 |
| FP32 Performance | 4.5 TFLOPS | 30.3 TFLOPS |
| FP64 Performance | Not published | 0.5 TFLOPS |
| Memory Bandwidth | 200 GB/s | 300 GB/s |
| FP8 (with sparsity) | Not published | 485 TFLOPS |
| FP16 (with sparsity) | 35.9 TFLOPS | 242 TFLOPS |
| INT8 (with sparsity) | 71.8 TOPS | 485 TOPS |
Performance Analysis
The L4 records 121 TFLOPS FP16 dense against the A16 value of 17.9 TFLOPS FP16 dense, producing a ratio that favors the L4 for both training and inference steps that rely on half precision arithmetic. The same pattern holds when sparsity is applied, with the L4 at 242 TFLOPS FP16 with sparsity versus the A16 at 35.9 TFLOPS FP16 with sparsity. Memory bandwidth of 300 GB per second on the L4 versus 200 GB per second on the A16 permits larger batch sizes during model execution. FP32 throughput on the L4 reaches 30.3 TFLOPS compared with 4.5 TFLOPS on the A16, indicating faster execution for workloads that remain in single precision.
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.
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When to Choose the A16
The A16 suits deployments where existing Ampere infrastructure already accommodates its 250 W TDP and 16 GB GDDR6 configuration. Its 17.9 TFLOPS FP16 dense rating remains adequate for lighter inference tasks that do not require the higher throughput of later architectures.
When to Choose the L4
The L4 suits deployments that prioritize 24 GB GDDR6 capacity together with 72 W TDP and 121 TFLOPS FP16 dense performance. Its 300 GB per second bandwidth supports larger batches in inference and fine tuning pipelines that benefit from Ada Lovelace efficiency.
Use Cases
The L4 supplies 121 TFLOPS FP16 dense compared with 17.9 TFLOPS on the A16.
The L4 supplies 121 TFLOPS FP16 dense and 24 GB VRAM compared with 17.9 TFLOPS and 16 GB on the A16.
The L4 supplies 300 GB per second bandwidth and 30.3 TFLOPS FP32 compared with 200 GB per second and 4.5 TFLOPS on the A16.
The L4 supplies 242 TFLOPS FP8 dense compared with no published FP8 rating on the A16.
The L4 supplies 30.3 TFLOPS FP32 compared with 4.5 TFLOPS on the A16.
Frequently Asked Questions
What are the FP32 ratings for the A16 and L4?▾
The A16 delivers 4.5 TFLOPS FP32 and the L4 delivers 30.3 TFLOPS FP32.
Which GPU has higher memory bandwidth?▾
The L4 has 300 GB per second memory bandwidth while the A16 has 200 GB per second.
What TDP values are listed for these GPUs?▾
The A16 lists 250 W TDP and the L4 lists 72 W TDP.
How do the FP16 dense figures compare?▾
The A16 lists 17.9 TFLOPS FP16 dense and the L4 lists 121 TFLOPS FP16 dense.
Do both GPUs use the same interconnect?▾
Both the A16 and L4 use PCIe 4.0 interconnect.
Which is cheaper to rent, the A16 or the L4?▾
Cloud rental prices for both the A16 and L4 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 L4?▾
The A16 has 16 GB of GDDR6 memory. The L4 has 24 GB of GDDR6 memory.
Can I find A16 and L4 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 L4?▾
The A16 uses the Ampere architecture (2021) while the L4 uses Ada Lovelace (2023). The L4 delivers 6.8x the dense FP16 throughput (121 vs 17.9 TFLOPS, both without sparsity) and 1.5x 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 L4. 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 L4Every 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.