L40 vs RTX 5090

Ada LovelacevsBlackwellUpdated 36 days ago

The RTX 5090 emerges as the superior choice for most AI workloads due to 419 TFLOPS FP16, 1792 GB/s bandwidth, and FP8 at 838 TFLOPS, enabling faster training and inference. Lower pricing from $0.16/hr outweighs the L40's VRAM advantage in 48 GB, as quantization mitigates memory needs. Datacenter users prioritizing throughput and cost select the RTX 5090.

L40 from $0.55/hrRTX 5090 from $0.57/hr

Specifications Compared

SpecL40RTX-5090
TDP300W575W
VRAM48 GB32 GB
CUDA Cores18,17621,760
Memory TypeGDDR6GDDR7
ArchitectureAda LovelaceBlackwell
Form FactorsPCIePCIe
InterconnectPCIe 5.0
Tensor Cores568680
FP16 Performance90.5 TFLOPS419 TFLOPS
FP32 Performance90.5 TFLOPS105 TFLOPS
INT8 Performance724 TOPS838 TOPS
Memory Bandwidth864 GB/s1,792 GB/s

Performance Analysis

Compute specifications reveal the RTX 5090's dominance in raw throughput: 419 TFLOPS FP16 vastly exceeds the L40's 90.5 TFLOPS, accelerating mixed-precision training and inference by over 4.6 times. FP32 performance edges ahead at 105 TFLOPS versus 90.5 TFLOPS, benefiting full-precision training stability. The RTX 5090's FP8 capability at 838 TFLOPS optimizes low-precision inference, reducing latency for deployment-scale serving.

Memory bandwidth profoundly influences real-world workloads. The RTX 5090's 1792 GB/s doubles the L40's 864 GB/s, enabling larger batch sizes in training and inference without bottlenecks. This supports scaling to higher throughputs in transformer models, where data movement dominates. However, the L40's 48 GB VRAM surpasses the RTX 5090's 32 GB, accommodating larger models or datasets without swapping, crucial for fine-tuning massive LLMs.

Power efficiency differentiates usage: the L40's 300W TDP consumes half the RTX 5090's 575W, suiting dense cloud clusters. In training, FP32 parity with superior bandwidth favors the RTX 5090 for faster epochs. For inference, FP8 and bandwidth yield sub-millisecond latencies on high-volume queries.

Live Cloud Pricing

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

L40

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
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
Massed Compute
Massed Compute
NVIDIA L40
48GB VRAM
$0.86/GPU/hr
Available
Massed Compute
Massed Compute
2×NVIDIA L40
48GB VRAM
$0.86/GPU/hr
$1.72/hr total (2×)
Available

RTX 5090

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
TensorDock
TensorDock
NVIDIA GeForce RTX 5090
32GB VRAM
$0.57/GPU/hr
Available
Vast.ai
Vast.ai
NVIDIA GeForce RTX 5090
32GB VRAM
$0.81/GPU/hr
Available
Vast.ai
Vast.ai
NVIDIA GeForce RTX 5090
32GB VRAM
$0.87/GPU/hr
Available
Vast.ai
Vast.ai
NVIDIA GeForce RTX 5090
32GB VRAM
$0.87/GPU/hr
Available
Vast.ai
Vast.ai
NVIDIA GeForce RTX 5090
32GB VRAM
$0.91/GPU/hr
Available

Compare real-time pricing across 25+ providers

When to Choose the L40

The L40 excels in memory-bound workloads requiring over 32 GB VRAM, such as loading 70B-parameter LLMs without quantization. Its 48 GB GDDR6 capacity handles these scenarios reliably. Balanced 90.5 TFLOPS FP16 and FP32 performance suits general-purpose datacenter tasks like scientific simulations where precision matters.

Lower 300W TDP makes the L40 preferable for power-constrained environments or multi-GPU setups, reducing cooling demands. Despite higher average pricing at $0.86/hr, its maturity in Ada Lovelace ensures stable cloud availability across 11 offers.

When to Choose the RTX 5090

The RTX 5090 suits high-throughput inference with 838 TFLOPS FP8 and 419 TFLOPS FP16, delivering 9x the L40's FP16 for serving millions of tokens per hour. Its 1792 GB/s bandwidth supports massive batch sizes in real-time applications.

Cost-effectiveness drives selection: from $0.16/hr average $0.71/hr across 19 offers provides superior value for compute-intensive tasks. Blackwell architecture future-proofs deployments, with PCIe 5.0 enhancing interconnect speeds.

Use Cases

LLM Training
RTX 5090

RTX 5090's 105 TFLOPS FP32 and 1792 GB/s bandwidth accelerate epochs over L40's 90.5 TFLOPS and 864 GB/s. Higher FP16 at 419 TFLOPS supports mixed-precision scaling.

LLM Inference
RTX 5090

FP8 performance at 838 TFLOPS and doubled bandwidth enable low-latency serving. RTX 5090 handles larger batches than L40's 90.5 TFLOPS FP16.

Fine-tuning
L40

L40's 48 GB VRAM loads full models without offloading, unlike RTX 5090's 32 GB. Balanced FP32 suits precise updates.

Stable Diffusion
RTX 5090

RTX 5090's 419 TFLOPS FP16 generates images 4.6x faster than L40. Consumer optimizations enhance diffusion pipelines.

Scientific Computing
Either

L40's 48 GB VRAM aids large simulations; RTX 5090's bandwidth speeds data-heavy codes. Choice depends on memory versus throughput needs.

Frequently Asked Questions

Which GPU has more VRAM?

The L40 provides 48 GB GDDR6 VRAM, exceeding the RTX 5090's 32 GB GDDR7. This benefits memory-intensive models. Bandwidth compensates on RTX 5090 at 1792 GB/s.

What is the FP16 performance difference?

RTX 5090 delivers 419 TFLOPS FP16, 4.6 times the L40's 90.5 TFLOPS. This boosts AI training and inference speeds. FP32 is closer at 105 versus 90.5 TFLOPS.

How do cloud prices compare?

RTX 5090 starts at $0.16/hr average $0.71/hr across 19 offers, cheaper than L40's $0.67/hr average $0.86/hr across 11. Value favors RTX 5090 for compute-heavy tasks.

Which has higher power consumption?

RTX 5090's 575W TDP doubles L40's 300W. L40 suits efficient clusters. RTX 5090 justifies draw with superior 419 TFLOPS FP16.

Is RTX 5090 better for inference?

Yes, with 838 TFLOPS FP8 and 1792 GB/s bandwidth versus L40's lacking FP8 and 864 GB/s. It achieves higher throughput for production serving.

What architectures do they use?

L40 uses Ada Lovelace from 2023; RTX 5090 uses Blackwell from 2025. Blackwell offers FP8 and PCIe 5.0 advancements.

Which is cheaper to rent, the L40 or the RTX 5090?

Cloud rental prices for both the L40 and RTX 5090 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 L40 have compared to the RTX 5090?

The L40 has 48 GB of GDDR6 memory. The RTX 5090 has 32 GB of GDDR7 memory.

Can I find L40 and RTX 5090 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 L40 and the RTX 5090?

The L40 uses the Ada Lovelace architecture (2023) while the RTX 5090 uses Blackwell (2025). The RTX 5090 delivers 4.6x the FP16 throughput and 2.1x the memory bandwidth of the L40.