Specifications Compared
| Spec | L40 | TITAN-V |
|---|---|---|
| TDP | 300W | 250W |
| VRAM | 48 GB | 12 GB |
| CUDA Cores | 18,176 | 5,120 |
| Memory Type | GDDR6 | HBM2 |
| Architecture | Ada Lovelace | Volta |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 568 | 640 |
| FP16 Performance | 90.5 TFLOPS | 13.8 TFLOPS |
| FP32 Performance | 90.5 TFLOPS | 13.8 TFLOPS |
| INT8 Performance | 724 TOPS | |
| Memory Bandwidth | 864 GB/s | 653 GB/s |
Performance Analysis
The L40's 90.5 TFLOPS FP16 and FP32 performance dwarfs the TITAN V's 13.8 TFLOPS in both metrics, enabling approximately 6.5 times faster matrix operations critical for deep learning. This delta translates to quicker training epochs and inference latencies: for example, training a large language model on the L40 completes iterations far sooner than on the TITAN V due to superior tensor core efficiency in Ada Lovelace versus Volta.
Memory specifications further favor the L40: 48 GB GDDR6 VRAM supports batch sizes four times larger than the TITAN V's 12 GB HBM2 limit, reducing out-of-memory errors in memory-intensive tasks like fine-tuning. The L40's 864 GB/s bandwidth exceeds the TITAN V's 653 GB/s by 32%, accelerating data transfers for workloads bound by memory access, such as Stable Diffusion image generation with high-resolution outputs.
Power draw differences are modest, with the L40 at 300W TDP versus 250W, but the performance-per-watt advantage lies with the L40 at roughly 0.3 TFLOPS per watt compared to 0.055 for the TITAN V in FP32. Inference benefits similarly from higher throughput, though both GPUs maintain balanced FP16 and FP32 rates suited to mixed-precision training.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
L40
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 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 | |||
 Massed Compute | NVIDIA L40 48GB VRAM | 48GB | 14 vCPU 72GB RAM 625GB Storage | Iowa | $0.86/GPU/hr | Available | ||
Massed Compute | 2×NVIDIA L40 48GB VRAM | 48GB | 26 vCPU 144GB RAM 1250GB Storage | Iowa | $0.86/GPU/hr $1.72/hr total (2×) | Available |
When to Choose the L40
The L40 excels in contemporary AI workloads requiring substantial VRAM and compute: its 48 GB capacity handles large language models during training or inference without splitting across multiple GPUs, unlike the TITAN V's 12 GB limit. Cloud users benefit from pricing as low as $0.67 per hour across 14 providers, ideal for scalable deployments in LLM fine-tuning or Stable Diffusion.
Datacenter environments favor the L40's 90.5 TFLOPS FP32 performance and 864 GB/s bandwidth for memory-bound scientific computing, ensuring larger batch sizes and faster iterations.
When to Choose the TITAN V
The TITAN V suits legacy on-premises setups where users already possess the hardware and require minimal upgrades: its 250W TDP consumes less power than the L40's 300W, potentially lowering electricity costs in constrained environments. HBM2 memory at 653 GB/s provides reliable bandwidth for older Volta-optimized software stacks incompatible with Ada Lovelace.
Scenarios with no cloud budget allow the TITAN V for basic FP32 tasks at 13.8 TFLOPS, avoiding rental fees since no live offers exist.
Use Cases
The L40's 48 GB VRAM and 90.5 TFLOPS FP16 performance support massive models without multi-GPU setups, unlike the TITAN V's 12 GB limit and 13.8 TFLOPS.
Higher 864 GB/s bandwidth on the L40 enables larger batch sizes for real-time serving, far surpassing the TITAN V's 653 GB/s and lower throughput.
L40's 90.5 TFLOPS FP32 rate accelerates parameter updates on datasets fitting its 48 GB VRAM, compared to TITAN V's constrained 13.8 TFLOPS and 12 GB.
The L40 handles high-resolution generations with 48 GB VRAM and 864 GB/s bandwidth, avoiding the TITAN V's memory bottlenecks at 12 GB.
L40's 90.5 TFLOPS FP32 outperforms TITAN V's 13.8 TFLOPS for simulations, with 48 GB VRAM supporting complex datasets.
Frequently Asked Questions
What is the VRAM difference between L40 and TITAN V?▾
The L40 provides 48 GB GDDR6 VRAM, while the TITAN V has 12 GB HBM2. This fourfold increase allows the L40 to manage larger models without fragmentation.
Which GPU has higher FP32 performance?▾
The L40 delivers 90.5 TFLOPS FP32, compared to the TITAN V's 13.8 TFLOPS. This results in about 6.5 times faster single-precision compute on the L40.
How do memory bandwidths compare?▾
L40 offers 864 GB/s bandwidth versus TITAN V's 653 GB/s. The 32% advantage aids memory-intensive tasks like large-batch training.
What are the TDPs of these GPUs?▾
The L40 has a 300W TDP, higher than the TITAN V's 250W. Despite this, the L40 provides superior performance per watt.
Is TITAN V available in the cloud?▾
No live cloud offers exist for TITAN V, unlike the L40 with 14 providers averaging $0.89 per hour from $0.67. TITAN V suits on-premises only.
What architectures do they use?▾
L40 uses Ada Lovelace from 2023, TITAN V uses Volta from 2017. The newer architecture enables better tensor performance at 90.5 TFLOPS versus 13.8 TFLOPS.
Which is cheaper to rent, the L40 or the TITAN V?▾
Cloud rental prices for both the L40 and TITAN V 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 TITAN V?▾
The L40 has 48 GB of GDDR6 memory. The TITAN V has 12 GB of HBM2 memory.
Can I find L40 and TITAN V 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 TITAN V?▾
The L40 uses the Ada Lovelace architecture (2023) while the TITAN V uses Volta (2017). The L40 delivers 6.6x the FP16 throughput and 1.3x the memory bandwidth of the TITAN V.