Specifications Compared
| Spec | GTX-1080 | L4 |
|---|---|---|
| TDP | 180W | 72W |
| VRAM | 8-11 GB | 24 GB |
| CUDA Cores | 2,560 | 7,424 |
| Memory Type | GDDR5X | GDDR6 |
| Architecture | Pascal | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 4.0 | |
| FP16 Performance | 8.9 TFLOPS | 121 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 30.3 TFLOPS |
| Memory Bandwidth | 320 GB/s | 300 GB/s |
Performance Analysis
Compute disparities define practical outcomes: the L4 achieves 121 TFLOPS FP16 versus the GTX 1080 Ti's 8.9 TFLOPS, yielding over 13 times faster half-precision inference for LLMs. FP32 at 30.3 TFLOPS on the L4 triples the GTX 1080 Ti's 8.9 TFLOPS, accelerating training epochs.
VRAM capacity shapes batch handling: 24 GB on the L4 permits larger batches than 11 GB on the GTX 1080 Ti, boosting throughput in fine-tuning and reducing per-iteration time. Bandwidth remains comparable at 300 GB/s for L4 and 320 GB/s for GTX 1080 Ti, but Ada tensor cores enhance AI efficiency.
Efficiency stands out with the L4's 72W TDP against 180W, enabling denser cloud deployments and lower energy costs per TFLOP.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
GTX 1080 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 LeaderGPU | 4×NVIDIA GeForce GTX 1080 8GB VRAM | 8GB | 0 vCPU 64GB RAM 480GB Storage | Netherlands | $0.30/GPU/hr $1.20/hr total (4×) | Available | ||
LeaderGPU | 8×NVIDIA GeForce GTX 1080 Ti 11GB VRAM | 11GB | 0 vCPU 128GB RAM 480GB Storage | Netherlands | $0.60/GPU/hr $4.80/hr total (8×) | Available |
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 GTX 1080 Ti
The GTX 1080 Ti fits scenarios demanding cost stability over peak performance. Its $0.60 per hour pricing across one offer undercuts the L4's $0.69 per hour average, suiting light workloads. Bandwidth at 320 GB/s slightly exceeds the L4's 300 GB/s for memory-bound tasks like basic rendering.
Pascal compatibility aids legacy ML frameworks incompatible with Ada Lovelace.
When to Choose the L4
The L4 dominates modern inference with 121 TFLOPS FP16 and 242 TFLOPS FP8, processing LLMs far quicker than the GTX 1080 Ti's 8.9 TFLOPS. Its 24 GB VRAM manages models exceeding 11 GB limits.
Abundant supply from $0.32 per hour across 16 offers and 72W TDP optimize scalable deployments.
Use Cases
The L4's 30.3 TFLOPS FP32 and 24 GB VRAM enable training larger models with bigger batches than the GTX 1080 Ti's 8.9 TFLOPS and 11 GB.
L4 provides 121 TFLOPS FP16 and 242 TFLOPS FP8 for high-throughput serving, vastly outpacing GTX 1080 Ti's 8.9 TFLOPS FP16.
24 GB VRAM on L4 supports extensive fine-tuning datasets; 121 TFLOPS FP16 accelerates iterations over GTX 1080 Ti's limits.
L4's 24 GB VRAM and 121 TFLOPS FP16 handle high-resolution image generation smoothly, unlike GTX 1080 Ti's 11 GB constraint.
GTX 1080 Ti's 320 GB/s bandwidth aids bandwidth-sensitive simulations better than L4's 300 GB/s in some FP32 tasks.
Frequently Asked Questions
What is the VRAM difference between GTX 1080 Ti and L4?▾
The L4 has 24 GB GDDR6 VRAM compared to the GTX 1080 Ti's 11 GB GDDR5X. This allows larger models and batch sizes on L4. Memory-bound tasks benefit accordingly.
How does FP16 performance compare?▾
L4 delivers 121 TFLOPS FP16, over 13 times the GTX 1080 Ti's 8.9 TFLOPS. Inference speeds increase dramatically with L4. FP8 at 242 TFLOPS adds quantized advantages.
What are the cloud pricing details?▾
GTX 1080 Ti starts from $0.60/hr average across 1 offer. L4 from $0.32/hr average $0.69/hr across 16 offers. Availability favors L4.
Which has lower power consumption?▾
L4 TDP is 72W versus GTX 1080 Ti's 180W. Cloud operators save on power and density with L4. Efficiency per TFLOP improves markedly.
Is GTX 1080 Ti suitable for LLM inference?▾
GTX 1080 Ti manages small LLMs with 8.9 TFLOPS FP16 and 11 GB VRAM. L4 excels with 121 TFLOPS and 24 GB for production-scale serving.
What architectures power these GPUs?▾
GTX 1080 Ti uses Pascal from 2016 without tensor cores. L4 leverages Ada Lovelace 2023 with advanced FP8 and sparsity support.
Which is cheaper to rent, the GTX 1080 or the L4?▾
Cloud rental prices for both the GTX 1080 and L4 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 GTX 1080 have compared to the L4?▾
The GTX 1080 has 8 to 11 GB of GDDR5X memory. The L4 has 24 GB of GDDR6 memory.
Can I find GTX 1080 and L4 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 GTX 1080 and the L4?▾
The GTX 1080 uses the Pascal architecture (2016) while the L4 uses Ada Lovelace (2023). The L4 delivers 13.6x the FP16 throughput and 1.1x the memory bandwidth of the GTX 1080.