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NVIDIA L4 SKU: NVL4TCGPU-KIT
$2,999.00
Fourth-Generation Tensor Cores
The new Ada Lovelace architecture Tensor Cores are designed to accelerate transformative AI technologies like intelligent chatbots, generative AI, natural language processing (NLP), computer vision, and NVIDIA Deep Learning Super Sampling 3.0 (DLSS 3). Ada Lovelace Tensor Cores unleash structured sparsity and 8-bit floating point (FP8) precision for up to 4x higher inference performance over the previous generation1. FP8 reduces memory pressure when compared to larger precisions and dramatically accelerates AI throughput.
NVIDIA L4
NVIDIA® L4
- SKU: NVL4TCGPU-KIT
NVIDIA L4
Breakthrough Universal Accelerator for Efficient Video, AI, and Graphics
With NVIDIA’s AI platform and full-stack approach, L4 is optimized for video and inference at scale for a broad range of AI applications, including recommendations, voice-based AI avatar assistants, generative AI, visual search, and contact center automation to deliver the best personalized experiences. As the most efficient NVIDIA accelerator for mainstream, servers equipped with L4 enable up to 120X higher AI Video performance over CPU solutions, while providing 2.7X more generative AI performance, and over 4X more graphics performance versus the previous generation. NVIDIA L4’s versatility and energy-efficient, single-slot, low-profile form factor make it ideal for global deployments, including edge locations.
As AI and video become more pervasive, the demand for efficient, cost effective computing is increasing more than ever. NVIDIA L4 GPUs deliver up to 99% better energy efficiency and lower total cost of ownership compared to traditional CPU-based infrastructure. This enables enterprises to reduce rack space and significantly lower the overall carbon footprint while making their data centers capable of scaling to many more users. The energy saved by switching from CPUs to NVIDIA L4s in a 2 megawatt (MW) data center can power over 2,000 homes for one year or the carbon offset from 172,000 trees grown over 10 years*.
Highlights
FP32
|
30.3 TFLOPS |
|---|---|
TF32 Tensor Core
|
120 TFLOPS | Sparsity |
FP16 Tensor Core
|
242 TFLOPS | Sparsity |
BFLOAT16 Tensor Core
|
242 TFLOPS | Sparsity |
FP8Tensor Core
|
485 TFLOPS | Sparsity |
INT8 Tensor Core
|
485 TOPS | Sparsity |
GPU Memory
|
24GB |
GPU Memory Bandwidth
|
300 GB/s |
Display Connectors
|
None | vGPU Only |
NVENC | NVDEC
|
2 | 4 | 4| JPEG Decoders | AV1 Encode and Decode |
Form Factor
|
Single Slot | Low-Profile |
System Interconnect
|
PCIe Gen4 x16 | 64GB/s |
Thermal Solution
|
Passive |
Maximum Power Consumption
|
72 W |
Server Options
|
Partner and NVIDIA-Certified Systems with 1-8 GPUs |
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