NVIDIA L4 GPU
From $0.44/hr — billed by the minute
The most cost-efficient data center GPU for AI inference, image generation, and video processing. 24 GB GDDR6 memory, 242 TFLOPS FP16, 72W power draw — maximum performance per dollar.
Powering teams that push boundaries
Trusted by companies including: Tesla, Hugging Face, Kaggle, Zoho, Weights & Biases, upGrad, Saama
Built for efficient AI workloads
The L4 strikes the optimal balance between performance, memory, and cost for inference-heavy workloads.
Ada Lovelace Architecture
Fourth-generation NVIDIA data center GPU architecture. Purpose-built for AI inference and video processing with native support for FP8, INT8, and hardware-accelerated video encode/decode.
Fourth-Gen Tensor Cores
240 Tensor Cores with FP8 support deliver 485 TFLOPS of INT8 performance. Run inference on 7B–14B parameter models with production-grade throughput at a fraction of the cost of larger GPUs.
24 GB GDDR6 Memory
Enough VRAM to run Mistral 7B, LLaMA 3 8B, Stable Diffusion XL, and Whisper Large v3 without quantization compromises. ECC-protected for data integrity in production workloads.
72W Power Efficiency
Single-slot, half-height form factor draws just 72W — the most power-efficient data center GPU available. Lower power means lower cost passed directly to you.
Key specs at a glance
Save 40–60% vs. major cloud providers
Transparent, per-minute billing with no hidden fees. Pause anytime — only pay for active minutes.
| Provider | L4 GPU $/hr | Billing | Min. Commitment | Pre-configured |
|---|---|---|---|---|
| Jarvislabs | $0.44 | Per minute | None | |
| Google Cloud (GCP) | $0.67–0.71 | Per second | None | — |
| RunPod | $0.39–0.44 | Per millisecond | None | — |
| AWS | ~$1.00 | Per second | None | — |
You save up to 56% vs. Google Cloud and pay only for minutes used — no charge while your instance is paused.
What developers build on the L4
From production inference to rapid prototyping, the L4 handles it all.
Model Inference & Serving
Serve LLMs up to 14B parameters, embedding models, and classification pipelines. Native FP8/INT8 for max tokens/sec per dollar.
Stable Diffusion & ComfyUI
Run SDXL, FLUX, and ComfyUI workflows with 24 GB VRAM. Enough for ControlNet, LoRA stacking, high-res outputs.
Whisper & Media Processing
Hardware-accelerated NVENC/NVDEC + Whisper Large v3 for real-time transcription. Process hours of audio/video for pennies.
Dev & Prototyping
Affordable GPU for testing architectures, debugging pipelines, and running experiments before scaling to larger hardware.
Technical specifications
Complete hardware specifications for the NVIDIA L4 data center GPU.
| Specification | Value | Great for |
|---|---|---|
| Architecture | NVIDIA Ada Lovelace | Latest efficiency optimizations |
| CUDA Cores | 7,424 | General-purpose GPU compute |
| Tensor Cores | 240 (4th gen) | AI inference with FP8/INT8 acceleration |
| VRAM | 24 GB GDDR6 (ECC) | Models up to 14B parameters |
| Memory Bandwidth | 300 GB/s | Inference without memory bottlenecks |
| FP32 Performance | 30.3 TFLOPS | Traditional compute workloads |
| FP16 Tensor | 242 TFLOPS | Mixed-precision inference |
| FP8 Tensor | 485 TFLOPS | Maximum inference throughput |
| INT8 Tensor | 485 TOPS | Quantized model serving |
| PCIe | Gen4 x16 | Fast data transfer to/from host |
| TDP | 72W | Cost-efficient, dense deployments |
| Form Factor | Single-slot, half-height | Space-efficient |
| Video Encode | NVENC (8th gen) | Real-time video processing |
| Video Decode | NVDEC (5th gen) | Hardware-accelerated media |
Launch your L4 instance in seconds
Three simple steps from sign-up to a running GPU instance.
Choose Your Template
PyTorch 2.x, TensorFlow, ComfyUI, Automatic1111, or clean CUDA. Everything pre-installed.
Configure & Launch
Select L4, set storage, click Launch. Templates ready in seconds, VMs in under a minute.
Build & Deploy
Expose endpoints with Gradio or FastAPI. Pause when idle — only pay for active minutes.
Frequently asked questions
Everything you need to know about renting the NVIDIA L4 on Jarvislabs.
7B–14B models (Mistral 7B, LLaMA 3 8B, Phi-3, Gemma) without quantization. Up to ~30B with 4-bit quantization. Also SDXL, ComfyUI workflows, Whisper Large v3.
Start using the NVIDIA L4 in seconds
$0.44/hr with per-minute billing. Pre-configured environments. No commitments.