Specifications Compared
| Spec | L4 | TITAN-XP |
|---|---|---|
| TDP | 72W | 250W |
| VRAM | 24 GB | 12 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 | 12.1 TFLOPS |
| FP32 Performance | 30.3 TFLOPS | 12.1 TFLOPS |
| FP64 Performance | 0.5 TFLOPS | |
| INT8 Performance | 242 TOPS | |
| Memory Bandwidth | 300 GB/s | 548 GB/s |
Performance Analysis
The L4's FP16 performance of 121 TFLOPS dwarfs the TITAN Xp's 12.1 TFLOPS by a factor of 10, enabling significantly faster training and inference in half-precision formats common in deep learning. Its FP32 throughput reaches 30.3 TFLOPS, 2.5 times the TITAN Xp's 12.1 TFLOPS, benefiting single-precision scientific simulations and general compute. The addition of FP8 at 242 TFLOPS on the L4 accelerates modern inference workloads, particularly for large language models quantized to lower precisions.
Memory bandwidth presents a trade-off: the TITAN Xp's 548 GB/s exceeds the L4's 300 GB/s, potentially allowing larger batch sizes in bandwidth-limited scenarios like certain image processing tasks. However, the L4's 24 GB VRAM versus 12 GB supports bigger models and batches overall, reducing swapping in training runs with datasets exceeding 12 GB. This VRAM edge proves critical for contemporary AI pipelines handling billion-parameter models.
Power efficiency further differentiates them: the L4 consumes 72 W compared to 250 W, yielding over 3 times better performance per watt in FP16 (1.68 TFLOPS/W vs 0.048 TFLOPS/W). In real-world deployments, the L4 sustains higher throughput in dense cloud racks without thermal throttling, while the TITAN Xp suits sparse, power-tolerant setups.
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 |
When to Choose the L4
The L4 excels in cloud-based AI training and inference where efficiency matters: its 72 W TDP and pricing from $0.32 per hour make it ideal for scalable deployments across 15 live offers. With 24 GB VRAM and 121 TFLOPS FP16, it handles large models like 7B-parameter LLMs without memory constraints, outperforming the TITAN Xp's 12 GB limit.
Choose the L4 for modern workloads leveraging FP8 at 242 TFLOPS or PCIe 4.0, such as real-time inference in edge-cloud hybrids.
When to Choose the TITAN Xp
The TITAN Xp fits legacy on-premises setups with existing Pascal-compatible software stacks, where its 548 GB/s bandwidth aids bandwidth-intensive tasks like high-resolution video processing. At 12.1 TFLOPS FP32, it remains viable for older FP32-dominant scientific computing not requiring more than 12 GB VRAM.
Opt for the TITAN Xp only if power budgets exceed 250 W and no cloud migration is planned, as no live cloud offers exist.
Use Cases
The L4's 24 GB VRAM and 121 TFLOPS FP16 support larger batches and models compared to the TITAN Xp's 12 GB and 12.1 TFLOPS. Its Ada architecture accelerates training via tensor cores.
FP8 performance at 242 TFLOPS on the L4 optimizes quantized inference for large models, far exceeding the TITAN Xp's capabilities. 24 GB VRAM handles bigger contexts.
30.3 TFLOPS FP32 and doubled VRAM enable efficient fine-tuning of mid-sized models on the L4, versus the TITAN Xp's 12.1 TFLOPS and 12 GB limit.
The L4's 24 GB VRAM accommodates high-resolution image generation batches, with 121 TFLOPS FP16 speeding diffusion steps over the TITAN Xp's constraints.
Superior FP32 at 30.3 TFLOPS and low 72 W TDP make the L4 preferable for sustained simulations, outperforming the TITAN Xp's 12.1 TFLOPS despite higher bandwidth.
Frequently Asked Questions
Which GPU has more VRAM?▾
The L4 provides 24 GB GDDR6 VRAM, double the TITAN Xp's 12 GB GDDR5X. This allows the L4 to manage larger models without out-of-memory errors.
How do their FP16 performances compare?▾
The L4 achieves 121 TFLOPS in FP16, 10 times the TITAN Xp's 12.1 TFLOPS. This gap accelerates deep learning training significantly.
What is the power consumption difference?▾
The L4 draws 72 W TDP, versus the TITAN Xp's 250 W. The L4 offers better efficiency at 1.68 TFLOPS per watt in FP16.
Is the TITAN Xp available in the cloud?▾
No live cloud offers exist for the TITAN Xp. The L4 starts at $0.32 per hour across 15 providers, averaging $0.68 per hour.
Which has higher memory bandwidth?▾
The TITAN Xp leads with 548 GB/s, over the L4's 300 GB/s. However, the L4's extra VRAM compensates for most AI workloads.
What architecture do they use?▾
The L4 uses Ada Lovelace from 2023 with PCIe 4.0, while the TITAN Xp employs Pascal from 2017. The L4 supports modern features like FP8.
Which is cheaper to rent, the L4 or the TITAN Xp?▾
Cloud rental prices for both the L4 and TITAN Xp 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 TITAN Xp?▾
The L4 has 24 GB of GDDR6 memory. The TITAN Xp has 12 GB of GDDR5X memory.
Can I find L4 and TITAN Xp 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 TITAN Xp?▾
The L4 uses the Ada Lovelace architecture (2023) while the TITAN Xp uses Pascal (2017). The L4 delivers 10.0x the FP16 throughput and 1.8x the memory bandwidth of the TITAN Xp.