L40S vs RTX 4000 Ada

Ada LovelacevsAda LovelaceUpdated 36 days ago

The L40S emerges as the superior choice for most AI and compute workloads due to its 48 GB VRAM, 362 TFLOPS FP16, and 864 GB/s bandwidth, enabling larger models and higher throughput than the RTX 4000 Ada's 20 GB and 26.7 TFLOPS limits. Cost-conscious users may opt for the cheaper alternative, but performance demands favor the L40S across cloud deployments.

L40S from $0.55/hrRTX 4000 Ada from $0.26/hr

Specifications Compared

SpecL40SRTX-4000-ADA
TDP350W130W
VRAM48 GB20 GB
CUDA Cores18,1766,144
Memory TypeGDDR6XGDDR6
ArchitectureAda LovelaceAda Lovelace
Form FactorsPCIePCIe
InterconnectPCIe 4.0
Tensor Cores568192
FP8 Performance724 TFLOPS
FP16 Performance362 TFLOPS26.7 TFLOPS
FP32 Performance91 TFLOPS26.7 TFLOPS
FP64 Performance1.4 TFLOPS
INT8 Performance724 TOPS427 TOPS
Memory Bandwidth864 GB/s360 GB/s

Performance Analysis

The L40S outperforms the RTX 4000 Ada significantly in compute throughput: it delivers 362 TFLOPS in FP16 versus 26.7 TFLOPS, a 13.6 times advantage ideal for inference tasks on large neural networks. FP32 performance shows 91 TFLOPS for the L40S against 26.7 TFLOPS, providing a 3.4 times edge for training workloads requiring precise single-precision calculations. This delta means the L40S handles complex simulations and model optimizations far faster.

Memory specifications amplify these gains: 48 GB VRAM on the L40S supports batch sizes up to 2.4 times larger than the RTX 4000 Ada's 20 GB, reducing data swapping in memory-constrained scenarios like fine-tuning transformers. Bandwidth of 864 GB/s versus 360 GB/s enables 2.4 times quicker data transfers, minimizing bottlenecks in high-throughput inference. Power draw reflects this: 350W TDP for the L40S versus 130W suits dense server deployments over power-sensitive workstations.

In real-world terms, these specs translate to the L40S accelerating LLM deployments by enabling full-precision runs on models exceeding 20 GB, while the RTX 4000 Ada suffices for lighter prototypes but scales poorly with dataset growth.

Live Cloud Pricing

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

L40S

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
TensorDock
TensorDock
NVIDIA L40S
48GB VRAM
$0.55/GPU/hr
Available
RunPod
RunPod
NVIDIA L40S
48GB VRAM
$0.86/GPU/hr
Massed Compute
Massed Compute
NVIDIA L40S
48GB VRAM
$0.88/GPU/hr
Available
Massed Compute
Massed Compute
2×NVIDIA L40S
48GB VRAM
$0.88/GPU/hr
$1.76/hr total (2×)
Available
Massed Compute
Massed Compute
NVIDIA L40S
48GB VRAM
$0.88/GPU/hr
Available

RTX 4000 Ada

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
RunPod
RunPod
NVIDIA RTX 4000 Ada Generation
20GB VRAM
$0.26/GPU/hr
Vast.ai
Vast.ai
NVIDIA RTX 4000 Ada Generation
20GB VRAM
$0.40/GPU/hr
Available
RunPod
RunPod
NVIDIA RTX 4000 Ada Generation
20GB VRAM
$0.44/GPU/hr
RunPod
RunPod
NVIDIA RTX 4000 Ada Generation
20GB VRAM
$0.57/GPU/hr

Compare real-time pricing across 25+ providers

When to Choose the L40S

The L40S excels in memory-intensive applications such as training large language models exceeding 20 GB VRAM or running inference on 70B parameter models. Its 864 GB/s bandwidth and 362 TFLOPS FP16 throughput support massive batch sizes without performance degradation, making it ideal for enterprise AI pipelines in cloud datacenters.

Datacenter operators prefer the L40S for multi-GPU scaling via PCIe 4.0, where 48 GB capacity handles scientific computing datasets that overwhelm the RTX 4000 Ada.

When to Choose the RTX 4000 Ada

The RTX 4000 Ada suits budget-conscious developers prototyping smaller models under 20 GB VRAM, with FP32 at 26.7 TFLOPS matching many entry-level training needs. Its 130W TDP and $0.09 per hour starting price enable cost-effective experimentation in cloud workstations.

Users prioritizing power efficiency select it for Stable Diffusion workflows or fine-tuning where 360 GB/s bandwidth suffices without the L40S's overhead.

Use Cases

LLM Training
L40S

The L40S's 48 GB VRAM and 91 TFLOPS FP32 handle massive datasets and gradients for billion-parameter models. The RTX 4000 Ada's 20 GB capacity limits scale.

LLM Inference
L40S

362 TFLOPS FP16 and 864 GB/s bandwidth on the L40S support high-concurrency serving of large LLMs. The RTX 4000 Ada struggles with models over 20 GB.

Fine-tuning
L40S

L40S enables larger batch sizes via 48 GB VRAM for efficient adapter tuning on full models. RTX 4000 Ada fits smaller tasks but risks OOM errors.

Stable Diffusion
Either

RTX 4000 Ada's 26.7 TFLOPS FP16 generates images quickly at low cost; L40S adds value for high-resolution batches needing 48 GB VRAM.

Scientific Computing
L40S

L40S's 91 TFLOPS FP32 and PCIe 4.0 excel in simulations with large matrices. RTX 4000 Ada's lower specs constrain complex HPC jobs.

Frequently Asked Questions

Which GPU has more VRAM: L40S or RTX 4000 Ada?

The L40S provides 48 GB GDDR6X VRAM, exceeding the RTX 4000 Ada's 20 GB GDDR6. This allows the L40S to load larger models without quantization.

How do their prices compare in the cloud?

L40S rentals start at $0.40 per hour, averaging $1.10 per hour across 18 offers. RTX 4000 Ada begins at $0.09 per hour, averaging $0.22 per hour over 9 offers.

What is the FP16 performance difference?

L40S achieves 362 TFLOPS FP16, 13.6 times higher than RTX 4000 Ada's 26.7 TFLOPS. This boosts inference speed on deep learning models.

Which is better for AI training?

L40S leads with 91 TFLOPS FP32 and 48 GB VRAM for training large models. RTX 4000 Ada works for prototypes but limits batch sizes.

How does memory bandwidth compare?

L40S offers 864 GB/s, 2.4 times the RTX 4000 Ada's 360 GB/s. Higher bandwidth reduces latency in data-heavy workloads.

What are their power consumptions?

L40S has a 350W TDP for datacenter use, while RTX 4000 Ada uses 130W for efficient workstations. This affects cooling and cost in deployments.

Which is cheaper to rent, the L40S or the RTX 4000 Ada?

Cloud rental prices for both the L40S and RTX 4000 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 L40S have compared to the RTX 4000 Ada?

The L40S has 48 GB of GDDR6X memory. The RTX 4000 Ada has 20 GB of GDDR6 memory.

Can I find L40S and RTX 4000 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 L40S and the RTX 4000 Ada?

The L40S uses the Ada Lovelace architecture (2023) while the RTX 4000 Ada uses Ada Lovelace (2023). The L40S delivers 13.6x the FP16 throughput and 2.4x the memory bandwidth of the RTX 4000 Ada.

L40S vs RTX 4000 Ada: 13.6x FP16 Gap, 48GB vs 20GB | GPUPerHour