Specifications Compared
| Spec | L4 | RTX-2070 |
|---|---|---|
| TDP | 72W | 175W |
| VRAM | 24 GB | 8 GB |
| CUDA Cores | 7,424 | 2,304 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ada Lovelace | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 4.0 | NVLink |
| Tensor Cores | 232 | 288 |
| FP8 Performance | 242 TFLOPS | |
| FP16 Performance | 121 TFLOPS | 7.5 TFLOPS |
| FP32 Performance | 30.3 TFLOPS | 7.5 TFLOPS |
| FP64 Performance | 0.5 TFLOPS | |
| INT8 Performance | 242 TOPS | |
| Memory Bandwidth | 300 GB/s | 448 GB/s |
Performance Analysis
The L4's 121 TFLOPS FP16 vastly outpaces the RTX 2070 SUPER's 7.5 TFLOPS, accelerating deep learning training and inference by over 16 times in half-precision tasks common to neural networks. This FP16 advantage paired with 30.3 TFLOPS FP32 versus 7.5 TFLOPS supports faster matrix multiplications in model optimization. For inference, the L4 handles larger batch sizes due to 24 GB VRAM, reducing latency compared to the 8 GB limit on the SUPER that forces smaller batches or model sharding. Although the RTX 2070 SUPER boasts higher 448 GB/s bandwidth against 300 GB/s, the L4's greater capacity minimizes data transfers for memory-bound workloads like fine-tuning. Power efficiency shines in the L4's 72W TDP, allowing denser server deployments without thermal throttling seen at 175W on the 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
The L4 excels in cloud-based AI deployments: its 24 GB VRAM fits large language models for inference, and 121 TFLOPS FP16 speeds up serving requests. Pricing from $0.32 per hour across 16 offers suits scalable, pay-per-use scenarios without upfront hardware costs. Low 72W TDP supports high-density computing in data centers.
When to Choose the RTX 2070 SUPER
The RTX 2070 SUPER suits local gaming or desktop ML prototyping: 448 GB/s bandwidth accelerates texture-heavy graphics rendering. Users with existing hardware leverage its PCIe form factor and NVLink interconnect for multi-GPU setups. Absence of cloud offers confines it to on-premises use where power draw of 175W fits consumer systems.
Use Cases
L4's 24 GB VRAM and 121 TFLOPS FP16 support large models and fast training iterations. RTX 2070 SUPER's 8 GB limits dataset sizes.
L4 handles high-concurrency inference with 30.3 TFLOPS FP32 and ample memory. SUPER's lower specs cause bottlenecks at scale.
24 GB VRAM on L4 accommodates parameter-heavy fine-tuning; 300 GB/s bandwidth sustains data flow. 8 GB on SUPER restricts model complexity.
RTX 2070 SUPER's 448 GB/s bandwidth aids image generation pipelines on smaller resolutions. L4's superior FP16 provides faster renders for complex prompts.
L4's 30.3 TFLOPS FP32 excels in simulations; low 72W TDP enables long runs. SUPER suffices for lighter tasks but lacks memory.
Frequently Asked Questions
Which GPU has more VRAM, L4 or RTX 2070 SUPER?▾
The L4 has 24 GB GDDR6 VRAM, double the 8 GB GDDR6 on the RTX 2070 SUPER. This makes L4 better for memory-intensive AI models. RTX 2070 SUPER handles smaller datasets adequately.
How does FP16 performance compare between L4 and RTX 2070 SUPER?▾
L4 delivers 121 TFLOPS FP16, over 16 times the 7.5 TFLOPS of RTX 2070 SUPER. This gap accelerates neural network training and inference significantly. FP32 follows suit at 30.3 TFLOPS versus 7.5 TFLOPS.
What is the power consumption of these GPUs?▾
L4 uses 72W TDP for efficient datacenter use, while RTX 2070 SUPER requires 175W. Lower power on L4 supports dense cloud deployments. Higher TDP on SUPER fits gaming rigs.
Is cloud pricing available for L4 versus RTX 2070 SUPER?▾
L4 offers start at $0.32 per hour, averaging $0.69 per hour across 16 providers. No live cloud offers exist for RTX 2070 SUPER. This favors L4 for rental access.
Which has higher memory bandwidth?▾
RTX 2070 SUPER provides 448 GB/s, exceeding L4's 300 GB/s. Bandwidth aids graphics tasks on SUPER. L4's larger VRAM offsets this in AI workloads.
What architectures do they use?▾
L4 uses Ada Lovelace from 2023 with PCIe 4.0. RTX 2070 SUPER employs Turing from 2018 with NVLink. Newer architecture gives L4 efficiency gains.
Which is cheaper to rent, the L4 or the RTX 2070?▾
Cloud rental prices for both the L4 and RTX 2070 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 2070?▾
The L4 has 24 GB of GDDR6 memory. The RTX 2070 has 8 GB of GDDR6 memory.
Can I find L4 and RTX 2070 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 2070?▾
The L4 uses the Ada Lovelace architecture (2023) while the RTX 2070 uses Turing (2018). The L4 delivers 16.1x the FP16 throughput and 1.5x the memory bandwidth of the RTX 2070.