NVIDIA PPCIe 24GB ATX bracket inst/LP bracket
Hinnat näkyvät vain verkkokauppaan kirjautuneille käyttäjille.
|
|
NVIDIA PPCIe 24GB ATX bracket inst/LP bracket
Tuotekoodi:
900-2G193-0000-001
-
GPU-perhe
NVIDIA
-
GPU
L4
-
Liitäntä
PCI Express 4.0
-
Videomuisti
24GB
-
Videomuistityyppi
GDDR6
-
HDMI
0
-
Näyttöportti
0
-
USB-C
0
-
Jäähdytys tyyppi
Passiivinen
|
L4 Tensor Core GPU
Features:
- Accelerate Video, AI, and Graphics Workloads
- The NVIDIA Ada Lovelace L4 Tensor Core GPU delivers universal acceleration and energy efficiency for video, AI, virtualized desktop, and graphics applications in the enterprise, in the cloud, and at the edge. With NVIDIA’s AI platform and full-stack approach, L4 is optimized for 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 use, servers equipped with L4 power up to 120X higher AI video performance over CPU solutions and 2.5X higher generative AI performance, as well as over 4X higher graphics performance than the previous GPU generation. NVIDIA L4’s versatility and energy-efficient, single-slot, low-profile form factor make it ideal for global deployments, including edge locations.
- Accelerate Workloads Efficiently and Sustainably
- The NVIDIA L4 is an integral part of the NVIDIA data center platform. Built for AI, video, virtual workstations, graphics, simulation, data science, and data analytics, the platform accelerates over 3,000 applications and is available everywhere at
scale, from data center to edge to cloud, delivering both dramatic performance gains and energy-efficiency opportunities.
As AI and video become more pervasive, the demand for efficient, cost-effective computing is increasing more than ever. NVIDIA L4 Tensor Core GPUs deliver up to 120X better AI video performance, resulting in up to 99 percent better energy efficiency and lower total cost of ownership compared to traditional CPU-based infrastructure. This lets enterprises reduce rack space and significantly lower their carbon footprint, while being able to scale their data centers 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 match the carbon offset of 172,000 trees grown over 10 years.
- Enterprise Ready: AI Software Streamlines Development and Deployment
- Optimized to streamline AI development and deployment, NVIDIA AI Enterprise includes proven, open-source containers and frameworks that are certified to run on common data center platforms and mainstream NVIDIA-Certified Systems™ with NVIDIA L4 Tensor Core GPUs. Since support is included, organizations get the transparency of open source and the assurance of global NVIDIA Enterprise Support with AI expertise for both their AI practitioners and IT administrators.
NVIDIA AI Enterprise software is a license addition for NVIDIA L4 Tensor Core GPUs, making AI accessible to nearly every organization with the highest performance in training, inference, and data science. NVIDIA AI Enterprise together with NVIDIA L4 simplifies the building of an AI-ready platform, accelerates AI development and deployment, and delivers performance, security, and scalability to gather insights faster and achieve business value sooner.
Specifications:
FP32
TF32 Tensor Core
FP16 Tensor Core
BFLOAT16 Tensor Core
FP8 Tensor Core
INT8 Tensor Core
GPU Memory
GPU Memory Bandwidth
NVENC | NVDEC | JPEG Decoders
Max Thermal Design Power (TDP)
Form Factor
Interconnect
Server Options - Partner and NVIDIA-Certified Systems with 1‒8 GPUs
Huomioi, että kuva on suuntaa-antava ja varsinainen tuote saattaa ulkoasultaan poiketa tuotekuvasta (esim. tietokoneisiin ei välttämättä sisälly näyttöä, vaikka kuvassa sellainen olisikin). Jos tuotenimikkeessä on eri tiedot kuin tuotekuvauksessa, tuotenimikkeen tieto on oikein. Jos jokin asia jää epäselväksi, lähetä sähköpostia tukeen ennen tuotteen tilaamista.