Specifications Compared
| Spec | L4 | QUADRO-P6000 |
|---|---|---|
| TDP | 72W | 250W |
| VRAM | 24 GB | 24 GB |
| CUDA Cores | 7,424 | 3,840 |
| Memory Type | GDDR6 | GDDR5X |
| Architecture | Ada Lovelace | Pascal |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 4.0 | |
| Tensor Cores | 232 | |
| FP8 Performance | 242 TFLOPS | |
| FP16 Performance | 121 TFLOPS | 12.6 TFLOPS |
| FP32 Performance | 30.3 TFLOPS | 12.6 TFLOPS |
| FP64 Performance | 0.5 TFLOPS | |
| INT8 Performance | 242 TOPS | |
| Memory Bandwidth | 300 GB/s | 432 GB/s |
Performance Analysis
The L4 outperforms the Quadro P6000 dramatically in floating-point compute, essential for machine learning. Its 121 TFLOPS FP16 capability enables faster AI training and inference than the P6000's 12.6 TFLOPS: training large models sees up to 10x speedup on the L4. FP32 performance at 30.3 TFLOPS on the L4 supports scientific simulations better than the P6000's matching 12.6 TFLOPS rate.
FP8 performance reaches 242 TFLOPS on the L4, ideal for quantized inference in deployment scenarios, absent on the older P6000. Memory bandwidth impacts batch sizes: the P6000's 432 GB/s allows larger batches in bandwidth-bound visualization tasks compared to the L4's 300 GB/s, but the L4's architectural efficiencies mitigate this for AI. Lower 72W TDP on the L4 reduces cooling needs and enables dense cloud deployments, unlike the P6000's 250W consumption.
Real-world implications favor the L4 for contemporary workloads. Inference on transformer models benefits from FP8 and high FP16 throughput, processing more tokens per second. The P6000 suits legacy CAD where high bandwidth aids texture loading, but overall, the L4's specs align with current GPU-accelerated pipelines.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
L4
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA L4 24GB VRAM | 24GB | 64 vCPU 101GB RAM 485GB Storage | Iceland | $0.33/GPU/hr | Available | ||
 RunPod | NVIDIA L4 24GB VRAM | 24GB | 12 vCPU 50GB RAM | 🌍global | $0.39/GPU/hr | |||
 TensorDock | NVIDIA L40S 48GB VRAM | 48GB | 0 vCPU 0GB RAM | Wolverhampton | $0.55/GPU/hr | Available | ||
RunPod | NVIDIA L40 48GB VRAM | 48GB | 8 vCPU 94GB RAM | 🌍global | $0.82/GPU/hr | |||
RunPod | NVIDIA L40S 48GB VRAM | 48GB | 16 vCPU 94GB RAM | 🌍global | $0.86/GPU/hr |
Quadro P6000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | New York | $1.10/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $1.10/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $1.10/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro P6000 24GB VRAM | 24GB | 16 vCPU 60GB RAM 50GB Storage | New York | $1.10/GPU/hr $2.20/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P6000 24GB VRAM | 24GB | 16 vCPU 60GB RAM 50GB Storage | Amsterdam | $1.10/GPU/hr $2.20/hr total (2×) | Available |
When to Choose the L4
Select the L4 for AI-driven workloads requiring high compute efficiency. Its 121 TFLOPS FP16 and 242 TFLOPS FP8 excel in LLM inference and fine-tuning, handling models up to 24 GB at $0.32 per hour starting price. Low 72W TDP suits edge or multi-GPU cloud setups without power constraints.
Cost-sensitive projects benefit most: average $0.68 per hour across 15 providers versus P6000's $1.10 per hour makes the L4 ideal for scalable training runs.
When to Choose the Quadro P6000
Choose the Quadro P6000 for legacy professional visualization software optimized for Pascal architecture. Its 432 GB/s memory bandwidth supports larger datasets in rendering or CAD compared to the L4's 300 GB/s, where bandwidth bottlenecks occur.
Environments locked into older drivers or certified apps favor the P6000, despite higher 250W TDP and $1.10 per hour pricing across 6 offers.
Use Cases
L4's 121 TFLOPS FP16 and 30.3 TFLOPS FP32 provide up to 10x faster training than P6000's 12.6 TFLOPS. Lower $0.68 per hour cost supports extended runs.
242 TFLOPS FP8 on L4 accelerates quantized inference for 24 GB models. Efficiency at 72W TDP outperforms P6000's higher power draw.
High FP16 throughput of 121 TFLOPS on L4 speeds parameter updates. Affordable pricing at $0.32 per hour from providers beats P6000.
L4's Ada architecture and 300 GB/s bandwidth handle diffusion models efficiently. 24 GB VRAM matches P6000 but with better compute.
30.3 TFLOPS FP32 on L4 exceeds P6000's 12.6 TFLOPS for simulations. PCIe 4.0 interconnect aids data transfer in clusters.
Frequently Asked Questions
What is the FP16 performance difference between L4 and Quadro P6000?▾
The L4 achieves 121 TFLOPS in FP16, while the Quadro P6000 reaches 12.6 TFLOPS. This nearly 10x gap favors L4 for AI training and inference tasks.
How do memory bandwidths compare on L4 vs P6000?▾
L4 offers 300 GB/s with GDDR6, versus P6000's 432 GB/s GDDR5X. P6000 edges out in raw bandwidth for visualization, but L4 suffices for most AI loads.
Which GPU has lower power consumption?▾
L4 consumes 72W TDP, far below P6000's 250W. This enables denser deployments and lower operational costs in cloud environments.
What are the cloud pricing differences?▾
L4 starts at $0.32 per hour with $0.68 average across 15 offers. P6000 is $1.10 per hour across 6 offers, making L4 more economical.
Is the L4 compatible with PCIe systems?▾
Both use PCIe form factors, but L4 employs PCIe 4.0 for faster interconnects. P6000 lacks specified interconnect details but fits standard PCIe slots.
Which is better for 24 GB VRAM workloads?▾
Both provide 24 GB VRAM, but L4's modern Ada architecture delivers superior compute like 242 TFLOPS FP8. It outperforms P6000 in AI despite similar capacity.
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 delivers 9.6x the FP16 throughput and 1.4x the memory bandwidth of the Quadro P6000.