Specifications Compared
| Spec | L4 | RTX A5000 |
|---|---|---|
| TDP | 72W | 230W |
| VRAM | 24 GB | 24 GB |
| CUDA Cores | 7,424 | 8,192 |
| FP8 (dense) | 242 TFLOPS | Not published |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ada Lovelace | Ampere |
| FP16 (dense) | 121 TFLOPS | Not published |
| Form Factors | PCIe | PCIe |
| INT8 (dense) | 242 TOPS | Not published |
| Interconnect | PCIe 4.0 | NVLink, PCIe 4.0 |
| Tensor Cores | 232 | 256 |
| FP32 Performance | 30.3 TFLOPS | 27.8 TFLOPS |
| FP64 Performance | 0.5 TFLOPS | Not published |
| Memory Bandwidth | 300 GB/s | 768 GB/s |
| FP8 (with sparsity) | 485 TFLOPS | Not published |
| FP16 (with sparsity) | 242 TFLOPS | 222.2 TFLOPS |
| INT8 (with sparsity) | 485 TOPS | Not published |
Performance Analysis
The L4 records 121 TFLOPS FP16 dense while the RTX A5000 records 222.2 TFLOPS FP16 with sparsity. FP32 performance favors the L4 by 30.3 TFLOPS to 27.8 TFLOPS. Memory bandwidth of 768 GB/s on the RTX A5000 supports larger batch sizes than the 300 GB/s bandwidth on the L4 during memory intensive phases. The L4 TDP of 72W permits denser server packing than the 230W TDP of the RTX A5000.
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.
L4
2 providers in stock, 2 offers. All L4 offers, price history and alerts
RTX A5000
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| Vast.ai | Romania, RO | 1 | $0.23 | — | Deploy |
| Paperspace | ny2 | 4 | $1.38 | $5.52 | Deploy |
2 providers in stock, 9 offers (cheapest per provider shown). All RTX A5000 offers, price history and alerts
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When to Choose the L4
The L4 suits environments where power limits constrain deployment density. Its 72W TDP and 30.3 TFLOPS FP32 allow more cards per rack than the 230W TDP of the RTX A5000. Inference pipelines that operate on dense FP16 at 121 TFLOPS benefit from the lower thermal envelope.
When to Choose the RTX A5000
The RTX A5000 suits workloads that exploit 768 GB/s memory bandwidth for large batch processing. Its NVLink interconnect enables multi GPU scaling not available on the L4. Sparse FP16 workloads at 222.2 TFLOPS gain from the higher bandwidth during data movement phases.
Use Cases
The RTX A5000 supplies 768 GB/s bandwidth and 222.2 TFLOPS FP16 with sparsity that support larger training batches than the L4 300 GB/s bandwidth.
The L4 provides 121 TFLOPS FP16 dense at 72W TDP for efficient dense inference compared with the RTX A5000 230W TDP.
Both cards carry 24 GB GDDR6 yet the L4 30.3 TFLOPS FP32 edges the RTX A5000 27.8 TFLOPS FP32 while the RTX A5000 offers higher bandwidth.
The RTX A5000 768 GB/s bandwidth accelerates diffusion steps that move large activation maps compared with the L4 300 GB/s bandwidth.
The L4 30.3 TFLOPS FP32 at 72W TDP suits sustained FP32 workloads where power efficiency matters more than the RTX A5000 230W TDP.
Frequently Asked Questions
What is the FP32 performance difference between L4 and RTX A5000?▾
The L4 delivers 30.3 TFLOPS FP32 while the RTX A5000 delivers 27.8 TFLOPS FP32. This 2.5 TFLOPS advantage appears in single precision scientific workloads.
How does memory bandwidth compare on L4 versus RTX A5000?▾
The L4 provides 300 GB/s bandwidth while the RTX A5000 provides 768 GB/s bandwidth. The higher figure on the RTX A5000 supports larger batches in bandwidth bound kernels.
What FP16 figures are published for each card?▾
The L4 lists 121 TFLOPS FP16 dense and 242 TFLOPS FP16 with sparsity. The RTX A5000 lists only 222.2 TFLOPS FP16 with sparsity.
Which card has lower power draw?▾
The L4 TDP is 72W while the RTX A5000 TDP is 230W. The L4 therefore fits more cards within the same power budget.
Does the RTX A5000 support NVLink?▾
The RTX A5000 includes NVLink interconnect alongside PCIe 4.0. The L4 supports only PCIe 4.0 interconnect.
Which is cheaper to rent, the L4 or the RTX A5000?▾
Cloud rental prices for both the L4 and RTX A5000 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 L4 have compared to the RTX A5000?▾
The L4 has 24 GB of GDDR6 memory. The RTX A5000 has 24 GB of GDDR6 memory.
Can I find L4 and RTX A5000 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 L4 and the RTX A5000?▾
The L4 uses the Ada Lovelace architecture (2023) while the RTX A5000 uses Ampere (2021). The L4 has 24 GB of GDDR6 at 300 GB/s; the RTX A5000 has 24 GB of GDDR6 at 768 GB/s, so the RTX A5000 has 2.6x 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 L4 and the RTX A5000. 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 L4Every current offer by provider, daily price history and a price alert.
- Rent RTX A5000Every 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.