GPU Cloud Servers Workstations TensorBook Resources Careers +1 (866) 711-2025 Lambda Scalar From $18,096.00 Free 30-day returns Start your build New! Cloud GPU servers from $1.25/hour GPU server built for deep learning Up to ten customizable GPUs with AMD EPYC or Intel Xeon processor. Pre-installed with Ubuntu, TensorFlow, PyTorch, CUDA, and cuDNN. Start your build 5000+ research groups trust Lambda Easy system administration Our GPU servers comes with Lambda Stack, which includes frameworks like TensorFlow and PyTorch. Lambda Stack makes upgrading these frameworks easy. Technical specifications Lambda Scalar 2U Lambda Scalar 4U GPUs Up to 8 GPUs · NVIDIA® A100, RTX A6000, RTX A5000, and RTX A4000 options Processors 2 AMD EPYC™ 7003 series CPUs · Up to 64 cores, 256 threads, 256 MB cache per processer... System memory Up to 2048 GB of 3200 MHz DDR4 ECC RAM in 16 DIMM slots · 8 memory channels per processor Operating system drive Up to 15.36 TB of storage via one 2.5" NVME SSD (PCIe 3.x) Additional storage drives Up to 46.08 TB of additional storage via 3 hot-swappable 2.5" NVMe SSDs (PCIe 3.x) · Designed... Networking Up to 2 high-speed Ethernet or Infiniband NICs · 2 RJ45 10 Gbps BASE-T LAN ports · 1 RJ45... Power Two 2200 watt 80 PLUS™ Platinum power supplies · 2 + 0 redundancy... Front I/O Power button with LED · Reset button · UID button with LED · System status LED · 2 LAN activity... Rear I/O VGA port · 2 USB 3.0 ports · Power button with LED · Reset button · UID button with LED · NMI... Accessories Rackmounting kit · C19 to C20, 15AWG, 250V/15A, 6 foot power cables Dimensions & weight 2 rack units (2U) · 17.64 in (width) x 3.4 in (height) x 31.5 in (depth) · 99 lbs with packaging... Our published research View all research ICCV 2021 Multiple Pairwise Ranking Networks for Personalized Video Summarization We propose a model for personalized video summaries by conditioning the summarization process with predefined categorical user labels. Learn more ICCV 2019 HoloGAN: Unsupervised Learning of 3D Representations from Natural Images We propose a novel generative adversarial network (GAN) for the task of unsupervised learning of 3D representations from natural images. Learn more © 2021 Lambda Forum About Blog Terms of Sale Careers Contact