Specifications Compared
| Spec | L4 | RTX-5000-ADA |
|---|---|---|
| TDP | 72W | 250W |
| VRAM | 24 GB | 32 GB |
| CUDA Cores | 7,424 | 12,800 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ada Lovelace | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 4.0 | |
| Tensor Cores | 232 | 400 |
| FP8 Performance | 242 TFLOPS | |
| FP16 Performance | 121 TFLOPS | 65.3 TFLOPS |
| FP32 Performance | 30.3 TFLOPS | 65.3 TFLOPS |
| FP64 Performance | 0.5 TFLOPS | |
| INT8 Performance | 242 TOPS | 1,044 TOPS |
| Memory Bandwidth | 300 GB/s | 576 GB/s |
Performance Analysis
The L4 demonstrates superior low-precision throughput: 121 TFLOPS FP16 and 242 TFLOPS FP8 exceed the RTX 5000 Ada's 65.3 TFLOPS FP16, accelerating LLM inference where models run in FP8 or FP16 formats. This delta means faster token generation in production serving, often by 85 percent or more in FP8 benchmarks.
In contrast, the RTX 5000 Ada's 65.3 TFLOPS FP32 doubles the L4's 30.3 TFLOPS FP32, benefiting model training and fine-tuning that rely on single-precision accumulates. Higher FP32 supports stable gradient computations during backpropagation.
Memory specs shape workload feasibility: the RTX 5000 Ada's 32 GB VRAM and 576 GB/s bandwidth handle larger batch sizes than the L4's 24 GB and 300 GB/s, minimizing out-of-memory errors in vision models or large datasets. The L4's 72W TDP reduces operational costs versus 250W, suiting edge or multi-GPU inference clusters.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
L4
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA L4 24GB VRAM | 24GB | 64 vCPU 101GB RAM 485GB Storage | Iceland | $0.33/GPU/hr | Available | ||
 RunPod | NVIDIA L4 24GB VRAM | 24GB | 12 vCPU 50GB RAM | 🌍global | $0.39/GPU/hr | |||
 TensorDock | NVIDIA L40S 48GB VRAM | 48GB | 0 vCPU 0GB RAM | Wolverhampton | $0.55/GPU/hr | Available | ||
RunPod | NVIDIA L40 48GB VRAM | 48GB | 8 vCPU 94GB RAM | 🌍global | $0.82/GPU/hr | |||
RunPod | NVIDIA L40S 48GB VRAM | 48GB | 16 vCPU 94GB RAM | 🌍global | $0.86/GPU/hr |
RTX 5000 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
TensorDock | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.55/GPU/hr | Available | ||
RunPod | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 10 vCPU 83GB RAM | 🌍global | $0.83/GPU/hr |
When to Choose the L4
The L4 suits inference-dominated pipelines: its 242 TFLOPS FP8 and 121 TFLOPS FP16 deliver high throughput for serving LLMs at scale. With 72W TDP, it fits power-constrained clouds, enabling 3.5 times more GPUs per rack than 250W alternatives. Availability across 15 offers at $0.32 per hour start ensures quick provisioning.
When to Choose the RTX 5000 Ada
The RTX 5000 Ada excels in training workflows: 65.3 TFLOPS FP32 and 32 GB VRAM manage complex models with large batches, outperforming L4's 30.3 TFLOPS FP32 and 24 GB. At $0.25 per hour starting price, it offers better value for FP32-heavy tasks like scientific simulations.
Use Cases
RTX 5000 Ada's 65.3 TFLOPS FP32 and 32 GB VRAM support larger models and batches better than L4's 30.3 TFLOPS FP32 and 24 GB.
L4's 242 TFLOPS FP8 and 121 TFLOPS FP16 accelerate serving by over 85 percent versus RTX 5000 Ada's 65.3 TFLOPS FP16.
Higher 65.3 TFLOPS FP32 on RTX 5000 Ada stabilizes gradients in parameter-efficient tuning, aided by 576 GB/s bandwidth.
L4's low 72W TDP and 300 GB/s bandwidth enable efficient image generation clusters, with ample 24 GB for typical resolutions.
RTX 5000 Ada's balanced 65.3 TFLOPS FP32/FP16 and 32 GB VRAM handle simulations requiring high precision and memory.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 5000 Ada provides 32 GB GDDR6 VRAM, exceeding the L4's 24 GB. This allows larger models or batches in memory-bound tasks.
What is the power consumption difference?▾
L4 draws 72W TDP, far lower than RTX 5000 Ada's 250W. Lower power supports denser deployments and reduced cloud electricity costs.
Which is cheaper in the cloud?▾
RTX 5000 Ada starts at $0.25 per hour with $0.51 average across 5 offers, undercutting L4's $0.32 start and $0.68 average over 15 offers.
Is L4 better for inference?▾
Yes, L4's 242 TFLOPS FP8 and 121 TFLOPS FP16 outperform RTX 5000 Ada's 65.3 TFLOPS FP16 for low-precision serving.
What architecture do they share?▾
Both use Ada Lovelace from 2023, with PCIe form factors. L4 adds PCIe 4.0 interconnect.
How does memory bandwidth compare?▾
RTX 5000 Ada doubles L4 with 576 GB/s versus 300 GB/s, improving data transfer for large batch training.
Which is cheaper to rent, the L4 or the RTX 5000 Ada?▾
Cloud rental prices for both the L4 and RTX 5000 Ada 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 5000 Ada?▾
The L4 has 24 GB of GDDR6 memory. The RTX 5000 Ada has 32 GB of GDDR6 memory.
Can I find L4 and RTX 5000 Ada 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 5000 Ada?▾
The L4 uses the Ada Lovelace architecture (2023) while the RTX 5000 Ada uses Ada Lovelace (2023). The L4 delivers 1.9x the FP16 throughput and 1.9x the memory bandwidth of the RTX 5000 Ada.