Specifications Compared
| Spec | A100 | L4 |
|---|---|---|
| TDP | 400W | 72W |
| VRAM | 40-80 GB | 24 GB |
| CUDA Cores | 6,912 | 7,424 |
| FP8 (dense) | Not published | 242 TFLOPS |
| Memory Type | HBM2e | GDDR6 |
| Architecture | Ampere | Ada Lovelace |
| FP16 (dense) | 312 TFLOPS | 121 TFLOPS |
| Form Factors | SXM4, PCIe | PCIe |
| INT8 (dense) | 624 TOPS | 242 TOPS |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | PCIe 4.0 |
| Tensor Cores | 432 | 232 |
| FP32 Performance | 19.5 TFLOPS | 30.3 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | 0.5 TFLOPS |
| Memory Bandwidth | 2,039 GB/s | 300 GB/s |
| FP8 (with sparsity) | Not published | 485 TFLOPS |
| FP16 (with sparsity) | 624 TFLOPS | 242 TFLOPS |
| INT8 (with sparsity) | 1,248 TOPS | 485 TOPS |
Performance Analysis
The FP16 dense performance reaches 312 TFLOPS on the A100 compared to 121 TFLOPS on the L4 which means the A100 handles larger training batches in half precision workloads before memory limits appear. FP32 performance stands at 19.5 TFLOPS for the A100 and 30.3 TFLOPS for the L4 so the L4 delivers higher throughput in single precision tasks that do not require tensor core acceleration. Memory bandwidth of 2039 GB per second on the A100 versus 300 GB per second on the L4 directly limits batch sizes in memory intensive operations with the A100 sustaining larger batches during both training and inference. Dense INT8 performance measures 624 TOPS on the A100 against 242 TOPS on the L4 while FP16 with sparsity reaches 624 TFLOPS on the A100 and 242 TFLOPS on the L4.
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.
A100
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| LeaderGPU | The Netherlands | 8 | $0.68 | $5.42 | Deploy |
| Vast.ai | Czechia, CZ | 2 | $1.07 | $2.13 | Deploy |
| ThunderCompute | USA | 2 | $1.09 | $2.18 | Deploy |
| Massed Compute | us-central-3 | 4 | $1.35 | $5.40 | Deploy |
| QuantaCloud | us-midwest-2 | 2 | $1.48 | $2.95 | Deploy |
11 providers in stock, 31 offers (cheapest per provider shown). All A100 offers, price history and alerts
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One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold. Cheapest right now: $0.68/GPU-hr.
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When to Choose the A100
The A100 suits large scale training runs that require 40 to 80 GB of HBM2e memory and 2039 GB per second bandwidth to maintain high utilization. Workloads involving dense FP16 at 312 TFLOPS or dense INT8 at 624 TOPS benefit from the A100 capacity when batch sizes exceed what 24 GB configurations allow.
When to Choose the L4
The L4 fits inference deployments that prioritize 72 watt TDP and 30.3 TFLOPS FP32 performance over maximum memory capacity. Scenarios with dense FP8 at 242 TFLOPS gain from the lower power draw when scaling across many PCIe only nodes.
Use Cases
The A100 supplies 40 to 80 GB HBM2e and 2039 GB per second bandwidth that accommodate larger models during training.
Dense FP16 performance of 312 TFLOPS on the A100 exceeds the 121 TFLOPS on the L4 for sustained inference throughput.
The A100 memory capacity of 40 to 80 GB allows fine tuning of models that exceed the 24 GB limit of the L4.
The L4 FP32 performance of 30.3 TFLOPS combined with 72 watt TDP supports efficient image generation workloads.
The L4 delivers 30.3 TFLOPS in FP32 which surpasses the 19.5 TFLOPS of the A100 for precision sensitive simulations.
Frequently Asked Questions
How does A100 memory compare to L4 memory?▾
The A100 provides 40 to 80 GB of HBM2e memory while the L4 provides 24 GB of GDDR6 memory. This difference affects the maximum model size that fits without partitioning.
What is the FP16 performance difference between A100 and L4?▾
The A100 reaches 312 TFLOPS in dense FP16 and 624 TFLOPS with sparsity. The L4 reaches 121 TFLOPS in dense FP16 and 242 TFLOPS with sparsity.
Which GPU has higher FP32 performance?▾
The L4 achieves 30.3 TFLOPS in FP32 while the A100 achieves 19.5 TFLOPS in FP32. This favors the L4 in workloads that rely on single precision operations.
How does TDP differ between the A100 and L4?▾
The A100 has a TDP of 400 watts while the L4 has a TDP of 72 watts. Lower power draw on the L4 reduces cooling and electricity demands in dense deployments.
What interconnect options exist for each GPU?▾
The A100 supports NVLink, PCIe 4.0, and InfiniBand while the L4 supports only PCIe 4.0. Multi GPU scaling behaves differently as a result.
Which is cheaper to rent, the A100 or the L4?▾
Cloud rental prices for both the A100 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 A100 have compared to the L4?▾
The A100 has 40 to 80 GB of HBM2e memory. The L4 has 24 GB of GDDR6 memory.
Can I find A100 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 A100 and the L4?▾
The A100 uses the Ampere architecture (2020) while the L4 uses Ada Lovelace (2023). The A100 delivers 2.6x the dense FP16 throughput (312 vs 121 TFLOPS, both without sparsity) and 6.8x the memory bandwidth of the L4.
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 A100 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 A100Every 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.