Specifications Compared
| Spec | L4 | RTX-2060 |
|---|---|---|
| TDP | 72W | 160W |
| VRAM | 24 GB | 6-12 GB |
| CUDA Cores | 7,424 | 1,920 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ada Lovelace | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 4.0 | |
| Tensor Cores | 232 | 240 |
| FP8 Performance | 242 TFLOPS | |
| FP16 Performance | 121 TFLOPS | 6.5 TFLOPS |
| FP32 Performance | 30.3 TFLOPS | 6.5 TFLOPS |
| FP64 Performance | 0.5 TFLOPS | |
| INT8 Performance | 242 TOPS | |
| Memory Bandwidth | 300 GB/s | 336 GB/s |
Performance Analysis
Compute disparities highlight the L4's dominance in AI workloads: 121 TFLOPS FP16 enables rapid model training and inference using half-precision, where the RTX 2060 Super manages only 7.2 TFLOPS. The L4's FP32 at 30.3 TFLOPS supports precise computations over four times faster than the 7.2 TFLOPS of the RTX 2060 Super. This gap accelerates deep learning pipelines on the L4.
VRAM capacity defines practical limits: 24 GB on the L4 accommodates large batch sizes for LLMs, preventing out-of-memory errors common with the RTX 2060 Super's 8 GB. The RTX 2060 Super offers higher bandwidth at 448 GB/s versus 300 GB/s, aiding smaller data transfers, but L4's memory volume prevails for real-world batch processing. Efficiency shines through the L4's 72W TDP, allowing dense deployments unlike the power-hungry 175W RTX 2060 Super.
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
Professionals select the L4 for cloud AI inference and training demanding high VRAM and throughput. Its 24 GB GDDR6 and 121 TFLOPS FP16 handle large models efficiently, unavailable on the 8 GB RTX 2060 Super. Availability from $0.32 per hour suits scalable, cost-conscious deployments.
Low-power needs favor the L4's 72W TDP and PCIe 4.0 interconnect for edge or multi-GPU setups.
When to Choose the RTX 2060 SUPER
The RTX 2060 Super fits local gaming rigs or entry-level content creation without cloud dependency. Its 448 GB/s bandwidth and 7.2 TFLOPS FP32 deliver capable 1080p performance and basic ML on datasets under 8 GB VRAM. Absence of cloud offers directs it to on-premise hardware owners.
Use Cases
L4's 24 GB VRAM and 121 TFLOPS FP16 support training substantial models, exceeding RTX 2060 Super's 8 GB and 7.2 TFLOPS limits.
121 TFLOPS FP16 and 24 GB VRAM on L4 enable high-throughput serving of LLMs, far beyond RTX 2060 Super's 7.2 TFLOPS and 8 GB.
L4 handles fine-tuning with 30.3 TFLOPS FP32 and ample memory for large datasets, outperforming RTX 2060 Super's constraints.
24 GB VRAM on L4 permits larger batches and resolutions in diffusion models, unlike 8 GB on RTX 2060 Super.
L4's 30.3 TFLOPS FP32 accelerates simulations over RTX 2060 Super's 7.2 TFLOPS.
Frequently Asked Questions
What is the VRAM difference between L4 and RTX 2060 Super?▾
L4 features 24 GB GDDR6 VRAM, triple the 8 GB GDDR6 on RTX 2060 Super. This enables larger models and batches on L4. RTX 2060 Super suits only smaller workloads.
How does FP16 performance compare?▾
L4 achieves 121 TFLOPS FP16, over 16 times the 7.2 TFLOPS of RTX 2060 Super. AI inference runs dramatically faster on L4. Training half-precision models benefits most.
Which GPU is more power efficient?▾
L4 consumes 72W TDP, less than half the 175W of RTX 2060 Super. This supports dense cloud racks on L4. Cooling and costs drop accordingly.
Are there cloud offers for RTX 2060 Super?▾
No live cloud offers exist for RTX 2060 Super. L4 starts at $0.32 per hour, averaging $0.69 per hour over 16 providers. Choose L4 for cloud access.
What are the architecture differences?▾
L4 uses 2023 Ada Lovelace architecture; RTX 2060 Super employs 2019 Turing. L4 gains from advancements in FP16 at 121 TFLOPS versus 7.2 TFLOPS.
Memory bandwidth: L4 vs RTX 2060 Super?▾
RTX 2060 Super provides 448 GB/s, higher than L4's 300 GB/s. Yet L4's 24 GB VRAM dominates for AI memory needs. Bandwidth edge matters less overall.
Which is cheaper to rent, the L4 or the RTX 2060?▾
Cloud rental prices for both the L4 and RTX 2060 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 RTX 2060?▾
The L4 has 24 GB of GDDR6 memory. The RTX 2060 has 6 to 12 GB of GDDR6 memory.
Can I find L4 and RTX 2060 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 RTX 2060?▾
The L4 uses the Ada Lovelace architecture (2023) while the RTX 2060 uses Turing (2019). The L4 delivers 18.6x the FP16 throughput and 1.1x the memory bandwidth of the RTX 2060.