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PNY NVIDIA L4 Module 24GB
Tillv. art.nr.:
TCSL4PCIE-PB
Gandalf art.nr.:
PN8571
EAN:
3536403393533
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NVIDIA L4 - GPU-beräkningsprocessor - L4 - 24 GB GDDR6 - PCIe 4.0 x16 - fläktlös
| Produktbeskrivning |
NVIDIA L4 - GPU-beräkningsprocessor - L4 - 24 GB |
| Typ av enhet |
GPU-beräkningsprocessor |
| Busstyp |
PCI Express 4.0 x16 |
| Grafikmotor |
NVIDIA L4 |
| Minne |
24 GB GDDR6 |
| Kärnklocka |
795 MHz |
| Snabbklocka |
2040 MHz |
| Effektiv minnesklocka |
6251 MHz |
| Minnesgränssnitt |
192-bit |
| Fläktlös |
Ja |
| Dimensioner (BxDxH) |
16.8 cm x 6.88 cm |
| Tillverkarens garanti |
3 års garanti |
Allmänt
|
| Typ av enhet |
GPU-beräkningsprocessor - fläktlös |
| Busstyp |
PCI Express 4.0 x16 |
| Grafikmotor |
NVIDIA L4 |
| Kärnklocka |
795 MHz |
| Snabbklocka |
2040 MHz |
| Egenskaper |
NVIDIA Ada Lovelace GPU-teknik, Error Correcting Codes (ECC) Memory, stöd för AV1-avkodning, stöd för AV1-kodning, NVENC-stöd, NVDEC-stöd, NEBS Ready, lågprofilfäste, 4:e gen tensor-kärnor, 3:e gen ray tracing-kärnor, NVIDIA DLSS 3, Nvidia Virtual GPU, Passive Cooling Solution |
Minne
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| Storlek |
24 GB |
| Teknik |
GDDR6 SDRAM |
| Effektiv klockhastighet |
6251 MHz |
| Bussbredd |
192-bit |
| Bandbredd |
300 GBps |
Systemkrav
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| Operativsystem erfordras |
Microsoft Windows Server 2012 R2, Microsoft Windows Server 2016, Microsoft Windows Server 2019, Red Hat CoreOS 4.7, Red Hat Enterprise Linux 8.1, Red Hat Enterprise Linux 8.2, Red Hat Enterprise Linux 8.3, Red Hat Enterprise Linux 7.7, Red Hat Enterprise Linux 7.8, Red Hat Enterprise Linux 7.9, Red Hat Linux 6.6 eller senare, SUSE Linux Enterprise Server 15 SP2, SuSE Linux Enterprise Server 12 SP3 eller senare, Ubuntu 14.04 LTS, Ubuntu 16.04, Ubuntu 18.04 LTS, Ubuntu 20.04 LTS |
Diverse
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| Energiförbrukning vid drift |
72 Watt |
| Inkluderade tillbehör |
Hållare med full höjd |
| Standarder som följs |
RoHS |
| Djup |
16.8 cm |
| Höjd |
6.88 cm |
Tillverkarens garanti
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| Service och support |
Begränsad garanti - 3 år |
Miljöparametrar
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| Min temperatur vid drift |
0 °C |
| Max temperatur vid drift |
50 °C |
| Luftfuktighet vid drift |
5 - 85% RH |
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 a great personalized experience. As an extremely 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 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.
- Fourth-generation Tensor Cores
- Third-generation RT Cores
- Advanced video and vision AI acceleration
- Fourth-generation Tensor Cores
The advanced 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 than the previous generation. FP8 reduces memory pressure when compared to larger precisions and dramatically accelerates AI throughput. - Third-generation RT Cores
NVIDIA made real-time ray tracing a reality with the invention of RT Cores, processing cores on the GPU specifically designed to tackle performance-intensive ray-tracing rendering. Ada Lovelace's third-generation RT Cores have twice the ray-triangle intersection throughput, increasing RT-TFLOP performance by over 2x. NVIDIA Shader Execution Reordering (SER) improves performance over 3x, enabling deep immersive experiences for virtual worlds and unprecedented productivity for AI-based neural graphics and cloud gaming. - Advanced video and vision AI acceleration
With an optimized AV1 stack, NVIDIA L4 takes video and vision AI acceleration to the next level, creating a broad array of extra possibilities for use cases like real-time video transcoding, streaming, video conferencing, augmented reality (AR), virtual reality (VR), and vision AI. With four video decoders and two video encoders, combined with the AV1 video format, L4 servers can host over 1000 concurrent video streams and over 120x more AI video end-to-end pipeline performance than CPU solutions. On top of this, four JPEG decoders further speed up applications that need computer vision horsepower.
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