L40S vs RTX 6000 Ada

Ada LovelacevsAda LovelaceUpdated 36 days ago

The L40S emerges as the winner for most common AI workloads like LLM training and inference. Its 362 TFLOPS FP16 and 724 TFLOPS FP8 vastly outpace RTX 6000 Ada's 91.1 TFLOPS, delivering superior throughput for half-precision tasks dominant in modern ML, despite higher TDP and slightly lower bandwidth.

L40S from $0.55/hrRTX 6000 Ada from $0.50/hr

Specifications Compared

SpecL40SRTX-6000-ADA
TDP350W300W
VRAM48 GB48 GB
CUDA Cores18,17618,176
Memory TypeGDDR6XGDDR6
ArchitectureAda LovelaceAda Lovelace
Form FactorsPCIePCIe
InterconnectPCIe 4.0NVLink
Tensor Cores568568
FP8 Performance724 TFLOPS
FP16 Performance362 TFLOPS91.1 TFLOPS
FP32 Performance91 TFLOPS91.1 TFLOPS
FP64 Performance1.4 TFLOPS1.4 TFLOPS
INT8 Performance724 TOPS1,457 TOPS
Memory Bandwidth864 GB/s960 GB/s

Performance Analysis

The L40S outperforms in half-precision compute critical for modern AI: its 362 TFLOPS FP16 rate quadruples the RTX 6000 Ada's 91.1 TFLOPS, accelerating training and inference for large language models using mixed precision. The L40S FP8 capability at 724 TFLOPS further enhances quantized inference throughput, reducing latency for deployment scenarios. FP32 parity at 91 TFLOPS versus 91.1 TFLOPS ensures comparable single-precision tasks like simulations.

Higher memory bandwidth on the RTX 6000 Ada at 960 GB/s versus 864 GB/s on L40S supports larger batch sizes in memory-bound operations, such as image generation or data preprocessing, minimizing bottlenecks. The L40S 350W TDP exceeds the RTX 6000 Ada's 300W, implying greater power draw for sustained peaks but potential cooling challenges. NVLink on RTX 6000 Ada enables faster multi-GPU scaling over L40S PCIe 4.0, benefiting distributed training.

In real-world terms, L40S suits high-throughput inference where FP16/FP8 dominance shines, while RTX 6000 Ada excels in bandwidth-sensitive or multi-GPU setups, balancing efficiency with versatility.

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

RTX 6000 Ada

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
RunPod
RunPod
NVIDIA RTX 6000 Ada Generation
48GB VRAM
$0.50/GPU/hr
RunPod
RunPod
NVIDIA RTX 6000 Ada Generation
48GB VRAM
$0.77/GPU/hr
Massed Compute
Massed Compute
NVIDIA RTX 6000 Ada Generation
48GB VRAM
$0.79/GPU/hr
Available
Massed Compute
Massed Compute
8×NVIDIA RTX 6000 Ada Generation
48GB VRAM
$0.79/GPU/hr
$6.32/hr total (8×)
Available
Massed Compute
Massed Compute
4×NVIDIA RTX 6000 Ada Generation
48GB VRAM
$0.79/GPU/hr
$3.16/hr total (4×)
Available

Compare real-time pricing across 25+ providers

When to Choose the L40S

The L40S stands out for FP16 and FP8 heavy workloads like LLM inference and training. Its 362 TFLOPS FP16 and 724 TFLOPS FP8 deliver four times the half-precision performance of RTX 6000 Ada's 91.1 TFLOPS, enabling faster model serving at scale. Starting cloud pricing at $0.40 per hour across 18 offers provides cost-effective access for datacenter deployments.

Choose L40S when prioritizing raw compute over interconnect speed, such as single-node high-throughput tasks with 48 GB GDDR6X VRAM handling massive datasets.

When to Choose the RTX 6000 Ada

Opt for RTX 6000 Ada in multi-GPU configurations leveraging NVLink for superior scaling in distributed training. Its 960 GB/s bandwidth outperforms L40S 864 GB/s, supporting larger batches in memory-intensive applications like Stable Diffusion.

The lower 300W TDP versus L40S 350W suits power-constrained environments, and cloud pricing from $0.20 per hour across 35 offers offers the cheapest entry point for workstation-style versatility.

Use Cases

LLM Training
L40S

L40S 362 TFLOPS FP16 accelerates mixed-precision training far beyond RTX 6000 Ada 91.1 TFLOPS. 48 GB VRAM supports large models efficiently.

LLM Inference
L40S

L40S 724 TFLOPS FP8 and 362 TFLOPS FP16 enable high-throughput quantized serving. This outperforms RTX 6000 Ada in low-latency deployments.

Fine-tuning
Either

FP32 near-parity at 91 TFLOPS L40S versus 91.1 TFLOPS RTX 6000 Ada suits both. Choice depends on multi-GPU needs or bandwidth.

Stable Diffusion
RTX 6000 Ada

RTX 6000 Ada 960 GB/s bandwidth handles large image batches better than L40S 864 GB/s. NVLink aids multi-GPU generation.

Scientific Computing
RTX 6000 Ada

RTX 6000 Ada lower 300W TDP and NVLink scaling fit simulations. Higher bandwidth supports data-heavy computations.

Frequently Asked Questions

Which GPU has more VRAM?

Both L40S and RTX 6000 Ada feature 48 GB VRAM, with L40S using GDDR6X and RTX 6000 Ada GDDR6. This capacity suits large models equally.

What is the FP16 performance difference?

L40S delivers 362 TFLOPS FP16, four times the RTX 6000 Ada 91.1 TFLOPS. This gap favors L40S for AI training and inference.

Which is cheaper in the cloud?

RTX 6000 Ada starts at $0.20 per hour across 35 offers, lower than L40S $0.40 per hour over 18 offers. Averages are $1.26 versus $1.10 per hour.

Does L40S support FP8?

L40S provides 724 TFLOPS FP8 for quantized inference, unavailable on RTX 6000 Ada. This boosts deployment efficiency.

What are the power requirements?

L40S TDP is 350W, higher than RTX 6000 Ada 300W. RTX 6000 Ada suits lower-power setups.

Which has better interconnect?

RTX 6000 Ada uses NVLink for multi-GPU, superior to L40S PCIe 4.0. This enhances scaling in clusters.

Which is cheaper to rent, the L40S or the RTX 6000 Ada?

Cloud rental prices for both the L40S and RTX 6000 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 6000 Ada?

The L40S has 48 GB of GDDR6X memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.

Can I find L40S and RTX 6000 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 6000 Ada?

The L40S uses the Ada Lovelace architecture (2023) while the RTX 6000 Ada uses Ada Lovelace (2022). The L40S delivers 4.0x the FP16 throughput and 1.1x the memory bandwidth of the RTX 6000 Ada.