L40S vs Quadro RTX 5000

Ada LovelacevsTuringUpdated 36 days ago

The L40S emerges as the clear winner for most cloud GPU use cases: its 91 TFLOPS FP32, 48 GB VRAM, and 864 GB/s bandwidth crush the Quadro RTX 5000's 11.2 TFLOPS and 16 GB limits, enabling modern AI at competitive rates from $0.40 per hour.

L40S from $0.55/hrQuadro RTX 5000 from $0.82/hr

Specifications Compared

SpecL40SQUADRO-RTX-5000
TDP350W230W
VRAM48 GB16 GB
CUDA Cores18,1763,072
Memory TypeGDDR6XGDDR6
ArchitectureAda LovelaceTuring
Form FactorsPCIePCIe
InterconnectPCIe 4.0NVLink
Tensor Cores568384
FP8 Performance724 TFLOPS
FP16 Performance362 TFLOPS11.2 TFLOPS
FP32 Performance91 TFLOPS11.2 TFLOPS
FP64 Performance1.4 TFLOPS
INT8 Performance724 TOPS
Memory Bandwidth864 GB/s448 GB/s

Performance Analysis

The L40S's FP32 performance of 91 TFLOPS vastly exceeds the Quadro RTX 5000's 11.2 TFLOPS, translating to over eight times faster compute for general-purpose simulations and rendering. In AI training, the L40S's FP16 at 362 TFLOPS enables rapid matrix multiplications, reducing epochs significantly compared to the Quadro RTX 5000's 11.2 TFLOPS, which struggles with large datasets.

For inference, the L40S's FP8 capability at 724 TFLOPS accelerates low-precision deployments, ideal for high-throughput serving, while the Quadro RTX 5000 lacks this efficiency. Memory bandwidth of 864 GB/s on the L40S supports larger batch sizes without bottlenecks, accommodating models up to 48 GB VRAM, whereas 448 GB/s and 16 GB on the Quadro RTX 5000 limit scalability in memory-intensive tasks like fine-tuning.

Power draw differs at 350 W for the L40S versus 230 W, but the L40S's PCIe 4.0 interconnect outperforms the Quadro RTX 5000's NVLink in multi-GPU cloud setups, enhancing overall system throughput.

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
4×NVIDIA L40S
48GB VRAM
$0.88/GPU/hr
$3.52/hr total (4×)
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

Quadro RTX 5000

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Paperspace
Paperspace
NVIDIA Quadro RTX 5000
16GB VRAM
$0.82/GPU/hr
Available
Paperspace
Paperspace
2×NVIDIA Quadro RTX 5000
16GB VRAM
$0.82/GPU/hr
$1.64/hr total (2×)
Available

Compare real-time pricing across 25+ providers

When to Choose the L40S

Professionals handling large-scale AI workloads select the L40S for its 48 GB GDDR6X VRAM and 864 GB/s bandwidth, which manage expansive models without swapping. Training or inference on LLMs benefits from 362 TFLOPS FP16 and 91 TFLOPS FP32, delivering results over eight times faster than alternatives. Cloud users find value in 18 live offers starting at $0.40 per hour.

When to Choose the Quadro RTX 5000

Budget-conscious users with light professional tasks choose the Quadro RTX 5000 for its 230 W TDP and $0.82 per hour pricing across stable offers. Legacy CAD or visualization software optimized for Turing architecture runs efficiently on 16 GB GDDR6 and 11.2 TFLOPS FP32 without needing modern AI accelerations.

Use Cases

LLM Training
L40S

The L40S's 362 TFLOPS FP16 and 48 GB VRAM handle massive datasets and models, far surpassing the Quadro RTX 5000's 11.2 TFLOPS and 16 GB.

LLM Inference
L40S

FP8 at 724 TFLOPS and 864 GB/s bandwidth on the L40S enable high-throughput serving; the Quadro RTX 5000's 11.2 TFLOPS cannot compete.

Fine-tuning
L40S

Larger batch sizes fit in 48 GB VRAM with 91 TFLOPS FP32 on the L40S, accelerating iterations over the Quadro RTX 5000's constraints.

Stable Diffusion
L40S

High-resolution generation leverages 362 TFLOPS FP16 and 864 GB/s bandwidth on the L40S for faster outputs than the Quadro RTX 5000's 11.2 TFLOPS.

Scientific Computing
L40S

91 TFLOPS FP32 and PCIe 4.0 on the L40S speed simulations; the Quadro RTX 5000's 11.2 TFLOPS suits only small-scale tasks.

Frequently Asked Questions

What is the VRAM difference between L40S and Quadro RTX 5000?

The L40S offers 48 GB GDDR6X VRAM, three times more than the Quadro RTX 5000's 16 GB GDDR6. This allows larger models on the L40S. Bandwidth is 864 GB/s versus 448 GB/s.

How do FP32 performances compare?

L40S achieves 91 TFLOPS FP32, over eight times the Quadro RTX 5000's 11.2 TFLOPS. This impacts training and simulations heavily. FP16 follows suit at 362 TFLOPS versus 11.2 TFLOPS.

What are the cloud pricing details?

L40S rentals start at $0.40 per hour, averaging $1.10 across 18 offers. Quadro RTX 5000 is $0.82 per hour across 2 offers. Check gpuperhour.com for live rates.

Is L40S better for AI workloads?

Yes, L40S's Ada Lovelace architecture with FP8 at 724 TFLOPS excels in AI over Turing-based Quadro RTX 5000. VRAM and bandwidth support modern demands.

What are the power and interconnect differences?

L40S draws 350 W with PCIe 4.0; Quadro RTX 5000 uses 230 W and NVLink. L40S suits dense cloud racks better.

When is Quadro RTX 5000 preferable?

Choose Quadro RTX 5000 for legacy workstation apps at $0.82 per hour and lower 230 W TDP. It fits light tasks without needing 48 GB VRAM.

Which is cheaper to rent, the L40S or the Quadro RTX 5000?

Cloud rental prices for both the L40S and Quadro RTX 5000 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 Quadro RTX 5000?

The L40S has 48 GB of GDDR6X memory. The Quadro RTX 5000 has 16 GB of GDDR6 memory.

Can I find L40S and Quadro RTX 5000 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 Quadro RTX 5000?

The L40S uses the Ada Lovelace architecture (2023) while the Quadro RTX 5000 uses Turing (2018). The L40S delivers 32.3x the FP16 throughput and 1.9x the memory bandwidth of the Quadro RTX 5000.

L40S vs Quadro RTX 5000: 32.3x FP16 Gap, 48GB vs 16GB | GPUPerHour