L4 vs RTX 5060 Ti

Ada LovelacevsBlackwellUpdated 35 days ago

The NVIDIA L4 emerges as the winner for most cloud machine learning use cases due to its 24 GB VRAM, 121 TFLOPS FP16, and 242 TFLOPS FP8, enabling larger models and faster inference than the RTX 5060 Ti's 12 GB and 23.1 TFLOPS, despite the latter's lower $0.15 per hour average cost.

L4 from $0.33/hrRTX 5060 Ti from $0.27/hr

Specifications Compared

SpecL4RTX-5060
TDP72W180W
VRAM24 GB12 GB
CUDA Cores7,4244,608
Memory TypeGDDR6GDDR7
ArchitectureAda LovelaceBlackwell
Form FactorsPCIePCIe
InterconnectPCIe 4.0
Tensor Cores232144
FP8 Performance242 TFLOPS
FP16 Performance121 TFLOPS23.1 TFLOPS
FP32 Performance30.3 TFLOPS23.1 TFLOPS
FP64 Performance0.5 TFLOPS
INT8 Performance242 TOPS370 TOPS
Memory Bandwidth300 GB/s448 GB/s

Performance Analysis

The L4's FP16 performance of 121 TFLOPS vastly exceeds the RTX 5060 Ti's 23.1 TFLOPS, making it superior for inference tasks that leverage half-precision arithmetic, such as serving large language models. Its FP32 rate of 30.3 TFLOPS slightly outpaces the RTX 5060 Ti's 23.1 TFLOPS, benefiting general-purpose computing and training phases requiring single precision. The FP16 to FP32 ratio on the L4 supports mixed-precision training effectively, whereas the RTX 5060 Ti's equal FP16 and FP32 figures limit flexibility in precision-heavy workflows. Memory bandwidth of 448 GB/s on the RTX 5060 Ti enables larger batch sizes in bandwidth-constrained operations like image generation, surpassing the L4's 300 GB/s. However, the L4's 24 GB VRAM capacity handles bigger models without splitting, unlike the RTX 5060 Ti's 12 GB limit. Power efficiency differentiates them further: the L4 consumes 72W TDP versus 180W for the RTX 5060 Ti, reducing operational costs in dense cloud deployments.

Live Cloud Pricing

Real-time prices from 25+ providers. Updated every 60 seconds.

L4

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vast.ai
Vast.ai
NVIDIA L4
24GB VRAM
$0.33/GPU/hr
Available
RunPod
RunPod
NVIDIA L4
24GB VRAM
$0.39/GPU/hr
TensorDock
TensorDock
NVIDIA L40S
48GB VRAM
$0.55/GPU/hr
Available
RunPod
RunPod
NVIDIA L40
48GB VRAM
$0.82/GPU/hr
RunPod
RunPod
NVIDIA L40S
48GB VRAM
$0.86/GPU/hr

RTX 5060 Ti

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vast.ai
Vast.ai
2×NVIDIA GeForce RTX 5060 Ti
16GB VRAM
$0.27/GPU/hr
$0.53/hr total (2×)
Available

Compare real-time pricing across 25+ providers

When to Choose the L4

The L4 suits scenarios demanding high VRAM and compute density, such as inference on models exceeding 12 GB or FP16-heavy workloads like LLM serving. Its 24 GB GDDR6 and 121 TFLOPS FP16 deliver reliable performance for enterprise-scale deployments. Low 72W TDP makes it ideal for power-sensitive cloud instances with multiple GPUs.

When to Choose the RTX 5060 Ti

Opt for the RTX 5060 Ti in budget-constrained environments or tasks benefiting from high bandwidth, like real-time rendering or small-batch training. At $0.07 per hour starting price, it offers strong value for gaming, lightweight inference, or prototyping. The 448 GB/s bandwidth and Blackwell architecture enhance efficiency in memory-bound applications under 12 GB VRAM.

Use Cases

LLM Training
L4

L4's 24 GB VRAM accommodates larger models, and 121 TFLOPS FP16 outperforms RTX 5060 Ti's 23.1 TFLOPS for efficient training.

LLM Inference
L4

L4 handles bigger batches with 24 GB VRAM and 242 TFLOPS FP8, surpassing RTX 5060 Ti's 12 GB capacity.

Fine-tuning
L4

Higher FP16 of 121 TFLOPS and 24 GB VRAM on L4 support parameter-efficient fine-tuning better than RTX 5060 Ti's specs.

Stable Diffusion
RTX 5060 Ti

RTX 5060 Ti's 448 GB/s bandwidth excels in image generation pipelines, and lower $0.15 per hour cost suits iterative creative work.

Scientific Computing
Either

L4 offers 30.3 TFLOPS FP32 for precision simulations; RTX 5060 Ti provides cost savings at 23.1 TFLOPS for lighter loads.

Frequently Asked Questions

Which GPU has more VRAM, L4 or RTX 5060 Ti?

The L4 has 24 GB GDDR6 VRAM, compared to 12 GB GDDR7 on the RTX 5060 Ti. This makes the L4 better for large models. VRAM difference impacts model size capacity directly.

How do FP16 performances compare?

L4 delivers 121 TFLOPS FP16, far exceeding RTX 5060 Ti's 23.1 TFLOPS. This benefits AI inference tasks. The gap highlights L4's strength in half-precision computing.

What are the cloud pricing differences?

RTX 5060 Ti starts at $0.07 per hour averaging $0.15 per hour across 10 offers, versus L4's $0.32 per hour average of $0.68 per hour over 15 offers. Pricing favors RTX 5060 Ti for budget use. Costs reflect datacenter versus consumer positioning.

Which has higher memory bandwidth?

RTX 5060 Ti provides 448 GB/s, surpassing L4's 300 GB/s. Higher bandwidth aids larger batch sizes. GDDR7 memory type contributes to this advantage.

What are the TDP ratings?

L4 uses 72W TDP, much lower than RTX 5060 Ti's 180W. Lower power suits dense cloud racks. Efficiency impacts total deployment costs.

Which architecture is newer?

RTX 5060 Ti employs Blackwell from 2025, newer than L4's Ada Lovelace from 2023. Newer architecture may offer future-proof features. Both use PCIe form factors.

Which is cheaper to rent, the L4 or the RTX 5060?

Cloud rental prices for both the L4 and RTX 5060 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 5060?

The L4 has 24 GB of GDDR6 memory. The RTX 5060 has 12 GB of GDDR7 memory.

Can I find L4 and RTX 5060 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 5060?

The L4 uses the Ada Lovelace architecture (2023) while the RTX 5060 uses Blackwell (2025). The L4 delivers 5.2x the FP16 throughput and 1.5x the memory bandwidth of the RTX 5060.

L4 vs RTX 5060 Ti: 5.2x FP16 Gap, 24GB vs 12GB | GPUPerHour