GPU comparison

L4 vs Quadro P6000

Specifications and current cloud pricing, side by side.

Ada LovelacevsPascalUpdated 34 days ago

The L4 provides the stronger choice for the most common modern inference and fine tuning workloads. Its 72W TDP combined with dense FP16 at 121 TFLOPS and dense FP8 at 242 TFLOPS delivers higher efficiency than the Quadro P6000 250W TDP and 12.6 TFLOPS FP32 baseline.

L4 from $0.89/GPU/hrQuadro P6000 from $1.10/GPU/hr

Right now, from live stock

Specifications Compared

SpecL4Quadro P6000
TDP72W250W
VRAM24 GB24 GB
CUDA Cores7,4243,840
FP8 (dense)242 TFLOPSNot published
Memory TypeGDDR6GDDR5X
ArchitectureAda LovelacePascal
FP16 (dense)121 TFLOPSNot published
Form FactorsPCIePCIe
INT8 (dense)242 TOPSNot published
InterconnectPCIe 4.0PCIe 3.0
Tensor Cores232Not published
FP32 Performance30.3 TFLOPS12.6 TFLOPS
FP64 Performance0.5 TFLOPSNot published
Memory Bandwidth300 GB/s432 GB/s
FP8 (with sparsity)485 TFLOPSNot published
FP16 (with sparsity)242 TFLOPSNot published
INT8 (with sparsity)485 TOPSNot published

Performance Analysis

The L4 lists dense FP16 at 121 TFLOPS against its dense FP32 at 30.3 TFLOPS. This ratio indicates that workloads able to utilize half precision can achieve roughly four times the throughput of single precision operations on the L4. The Quadro P6000 supplies no published FP16 value so direct dense FP16 comparison remains unavailable. Memory bandwidth of 300 GB/s on the L4 versus 432 GB/s on the Quadro P6000 implies that the Quadro P6000 can sustain larger data transfers per second which may support bigger batch sizes in memory bound tasks. The L4 TDP of 72W compared with 250W on the Quadro P6000 shows substantially lower power draw for equivalent VRAM capacity. Sparse FP16 on the L4 reaches 242 TFLOPS while sparse FP8 reaches 485 TFLOPS providing additional headroom when sparsity applies.

Current On-Demand Offers

Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.

L4

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
ScalewayParis, France (PAR1)1$0.89—Deploy
Orilille-41$0.93—Deploy

2 providers in stock, 2 offers. All L4 offers, price history and alerts

Quadro P6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceams11$1.10—Deploy

1 provider in stock, 6 offers (cheapest per provider shown). All Quadro P6000 offers, price history and alerts

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When to Choose the L4

The L4 suits environments that prioritize low power consumption at 72W TDP together with dense FP16 performance of 121 TFLOPS. Inference pipelines that operate within PCIe 4.0 interconnects and require Ada Lovelace features benefit from the 24 GB GDDR6 configuration. Fine tuning tasks that scale with dense INT8 at 242 TOPS also align with the L4 specifications.

When to Choose the Quadro P6000

The Quadro P6000 fits scenarios where memory bandwidth of 432 GB/s supports data movement demands exceeding the 300 GB/s of the L4. Legacy Pascal based code bases that already run on 24 GB GDDR5X memory avoid migration costs. Workloads that remain within published FP32 limits of 12.6 TFLOPS and tolerate 250W TDP continue without change.

Use Cases

LLM Training
L4

The L4 supplies dense FP16 at 121 TFLOPS and 72W TDP which exceeds the Quadro P6000 published FP32 of 12.6 TFLOPS at 250W TDP.

LLM Inference
L4

Dense FP8 at 242 TFLOPS on the L4 enables higher throughput than the Quadro P6000 12.6 TFLOPS FP32 limit.

Fine-tuning
L4

The L4 lists dense INT8 at 242 TOPS with 24 GB GDDR6 which supports updated precision paths absent from the Quadro P6000 specifications.

Stable Diffusion
Either

Both GPUs carry 24 GB of memory so either meets the VRAM requirement though the L4 adds lower 72W TDP.

Scientific Computing
Quadro P6000

The Quadro P6000 provides 432 GB/s bandwidth which exceeds the L4 300 GB/s figure for bandwidth sensitive FP32 workloads at 12.6 TFLOPS.

Frequently Asked Questions

What is the FP32 performance difference between L4 and Quadro P6000?▾

The L4 lists 30.3 TFLOPS FP32 while the Quadro P6000 lists 12.6 TFLOPS FP32. This places the L4 at more than double the single precision throughput of the Quadro P6000.

How does TDP compare between the two GPUs?▾

The L4 operates at 72W TDP whereas the Quadro P6000 operates at 250W TDP. The L4 therefore consumes less than one third the power of the Quadro P6000.

Which GPU offers higher memory bandwidth?▾

The Quadro P6000 reaches 432 GB/s while the L4 reaches 300 GB/s. The older GPU therefore supplies greater bandwidth per second.

What interconnect versions do the GPUs use?▾

The L4 uses PCIe 4.0 interconnect while the Quadro P6000 uses PCIe 3.0 interconnect. Newer systems can therefore pair the L4 with faster host links.

Are FP16 figures published for the Quadro P6000?▾

No FP16 value appears in the Quadro P6000 specifications. The L4 alone lists dense FP16 at 121 TFLOPS and sparse FP16 at 242 TFLOPS.

Which is cheaper to rent, the L4 or the Quadro P6000?▾

Cloud rental prices for both the L4 and Quadro P6000 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 Quadro P6000?▾

The L4 has 24 GB of GDDR6 memory. The Quadro P6000 has 24 GB of GDDR5X memory.

Can I find L4 and Quadro P6000 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 Quadro P6000?▾

The L4 uses the Ada Lovelace architecture (2023) while the Quadro P6000 uses Pascal (2016). The L4 has 24 GB of GDDR6 at 300 GB/s; the Quadro P6000 has 24 GB of GDDR5X at 432 GB/s, so the Quadro P6000 has 1.4x the memory bandwidth of the L4.

Rent these GPUs

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Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the L4 and the Quadro P6000. Dense and sparse throughput are listed separately.
  • Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
  • The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
  • Read how we collect the data, or report an error on this page.

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