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- NVIDIA L4 Tensor Core
Overview
Fits Anywhere. Accelerates Everything.
The NVIDIA L4 is the GPU you can deploy in servers where no other accelerator will fit. At just 72 watts in a single-slot, low-profile PCIe card, it draws power entirely from the motherboard slot. No auxiliary power cables. No special riser cards. No cooling upgrades. If your server has a free PCIe Gen4 x16 slot, it can run an L4.
Built on Ada Lovelace with 24GB of GDDR6, fourth-generation Tensor Cores (with FP8), and hardware AV1 encode/decode, the L4 handles AI inference, video transcoding, virtual desktops, and lightweight graphics. It delivers up to 2.5X the generative AI performance of the T4 it replaces, in the same power and form factor envelope.
The NVIDIA T4 became one of the most widely deployed data center GPUs in history. The L4 is the natural upgrade path: 2-3X better performance, same simplicity.
Running T4s Today? Here's What Changes.
The L4 is the direct successor to the NVIDIA T4. Same slot-powered, low-profile form factor. Same drop-in simplicity. But 2-3X the performance across inference, video, and graphics workloads.
| T4 | L4 | |
|---|---|---|
| Architecture | Turing | Ada Lovelace |
| Memory | 16GB GDDR6 | 24GB GDDR6 |
| FP8 Tensor | N/A | 485 TFLOPS |
| TDP | 70W | 72W |
| Form Factor | Low-profile | Low-profile |
| AV1 Encode | No | Yes |
72W
Max TDP (Slot-Powered)
24GB
GDDR6 Memory
485
FP8 TFLOPS (Sparse)
1
Slot, Low-Profile
Compatible Servers
Dell PowerEdge Servers That Support the L4
The L4's single-slot, low-profile, slot-powered design fits into servers that can't accommodate full-height GPUs, including 1U and edge platforms.
Dell PowerEdge R760
Mainstream Inference- 16th Gen Intel Xeon 2U server
- Multi-L4 capable for production inference
Dell PowerEdge R660
1U Deployment- 16th Gen Intel Xeon 1U server
- L4 fits where full-height GPUs can't
Dell PowerEdge XR7620
Edge / Rugged- 16th Gen edge-optimized server
- Rugged, compact, ideal for edge AI
Dell PowerEdge R760xa
Dense Multi-GPU- 16th Gen GPU-optimized 2U server
- Pack multiple L4s for high-throughput inference
Dell PowerEdge R750
Refurbished Value- 15th Gen Intel Xeon 2U workhorse
- Cost-effective L4 retrofit platform
Dell PowerEdge R7625
AMD Platform- 16th Gen AMD EPYC 2U server
- High core count pairs well with multi-L4
Use Cases
What the L40 Does Best
Better Energy Efficiency
8x L4 vs. 2S Intel 8362 CPU server TCO comparison: end-to-end video pipeline with CV-CUDA pre- and postprocessing, decode, inference (SegFormer), encode, TRT 8.6 vs. CPU-only pipeline using OpenCV 4.7, PyTorch inference.
AI Inference at Scale
The L4 is built for production inference: recommendation engines, fraud detection, NLP, image classification. Its 72W power draw means you can pack more GPUs per rack without upgrading power distribution or cooling. For organizations running hundreds of inference endpoints, the L4 delivers the best performance per watt of any current-gen NVIDIA data center GPU.
Up to 120X Higher AI Video Performance
Measured performance: 8x L4 vs 2S Intel 8362 CPU server comparison, end-to-end video pipeline with CV-CUDA® decode, preprocessing, inference (SegFormer), postprocessing, encode, NVIDIA® TensorRT™ 8.6 vs CPU-only pipeline using OpenCV 4.7, PyTorch inference.
AI Video Pipelines
Servers equipped with L4 GPUs can host over 1,000 concurrent AV1 video streams at 720p30. For broadcast, live streaming, video surveillance, and content moderation, the L4 replaces dedicated encoding hardware with GPU-accelerated pipelines that also run AI inference on the same video frames in real time.
Virtual Desktops & Cloud Gaming
With vGPU software support, the L4 powers virtual PC sessions and lightweight cloud gaming instances. Its low power draw and small form factor make it ideal for VDI deployments in space-constrained environments like branch offices, retail locations, and edge data centers where full-size GPUs aren't an option.
Edge AI & Compact Deployments
The L4's low-profile, slot-powered design was built for edge scenarios. It fits into short-depth, 1U, and ruggedized servers that can't accommodate dual-slot GPUs. For smart retail, industrial inspection, autonomous systems, and telecom edge workloads, the L4 brings data center-class AI to locations where power and space are at a premium.
Specifications
NVIDIA L4 Tensor Core GPU
| Specification | L4 |
|---|---|
| GPU Architecture | Ada Lovelace |
| GPU Memory | 24GB GDDR6 |
| Memory Bandwidth | 300 GB/s |
| Interconnect | PCIe Gen4 x16 (64 GB/s bidirectional) |
| FP32 | 30.3 TFLOPS |
| TF32 Tensor Core | 120 TFLOPS* |
| FP16 Tensor Core | 242 TFLOPS* |
| BFLOAT16 Tensor Core | 242 TFLOPS* |
| FP8 Tensor Core | 485 TFLOPS* |
| INT8 Tensor Core | 485 TOPS* |
| NVENC / NVDEC / JPEG | 2× / 4× / 4× |
| Max TDP | 72W |
| Power Connector | None (slot-powered) |
| Form Factor | Single-slot, low-profile PCIe |
| Thermal | Passive |
| vGPU Support | Yes |
| Secure Boot | Yes (Root of Trust) |
| NEBS Ready | Level 3 |
Adding GPU Acceleration to Your Servers?
The L4 fits into servers you already own. ServerMonkey can help you find the right configuration.
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