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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
Compare All GPUs in Our Matrix
72W
Max TDP (Slot-Powered)
24GB
GDDR6 Memory
485
FP8 TFLOPS (Sparse)
1
Slot, Low-Profile

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

Dell PowerEdge R760

Mainstream Inference
  • 16th Gen Intel Xeon 2U server
  • Multi-L4 capable for production inference
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Dell PowerEdge R660

Dell PowerEdge R660

1U Deployment
  • 16th Gen Intel Xeon 1U server
  • L4 fits where full-height GPUs can't
View Server
Dell PowerEdge XR7620

Dell PowerEdge XR7620

Edge / Rugged
  • 16th Gen edge-optimized server
  • Rugged, compact, ideal for edge AI
View Server
Dell PowerEdge R760xa

Dell PowerEdge R760xa

Dense Multi-GPU
  • 16th Gen GPU-optimized 2U server
  • Pack multiple L4s for high-throughput inference
View Server
Dell PowerEdge R750

Dell PowerEdge R750

Refurbished Value
  • 15th Gen Intel Xeon 2U workhorse
  • Cost-effective L4 retrofit platform
View Server
Dell PowerEdge R7625

Dell PowerEdge R7625

AMD Platform
  • 16th Gen AMD EPYC 2U server
  • High core count pairs well with multi-L4
View Server

What the L40 Does Best

Better Energy Efficiency

AI Inference at Scale 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

AI Video Pipelines 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

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.

AI Inference at Scale

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.

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
* With sparsity. Dense performance is ½ of sparse spec.
 

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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