1. Hyperplane Equation
2. Hyper Planner
3. Hyperplanning Umons 2019 2020

Lambda Hyperplane A100

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A new standard for
deep learning hardware

Be ready for chilly afternoons and unexpected rain showers. The women's Hyperplan Parka has an ultra-stretchy soft shell build designed for the urban environment. A water-resistant finish keeps the wet out, and synthetic insulation adds lightweight warmth. When the rain clouds pass, the magnetic zipper makes it easy to unzip with one hand to let in the breeze. A tricolor hood lining flashes. A subspace of a vector with dimension one less than that of its ambient space. Hyperplanes are a key tool in data science that help form decision boundaries to help classify data points in applications like natural language processing and machine vision.

See up to 40% training performance improvements with the new 4x and 8x NVIDIA® A100 Tensor Core GPU servers from Lambda.

4 NVIDIA A100 Tensor Core GPUs with NVLink™ & Mellanox InfiniBand

• GPU Details

  4x NVIDIA Tesla A100 SXM4-40GB + NVLink

• Processor

  2x AMD EPYC™ Processors (Up to 64 cores)

• SYSTEM RAM

  512 GB

• Storage

  Up to 60TB NVMe

• NETWORK INTERFACE

  Up to 4x Mellanox InfiniBand HDR 200Gbps Cards

Hyperplane 4-A100 pricing starting at

8 NVIDIA A100 Tensor Core GPUs with NVLink, NVSwitch™ & Mellanox InfiniBand

Hyperplane Equation

• GPU Details

  8x NVIDIA Tesla A100 SXM4-40GB + NVSwitch

• Processor

  2x AMD EPYC™ or Intel Processors

• SYSTEM RAM

  1 TB

• STORAGE

  Up to 96TB NVMe

• NETWORK INTERFACE

  Up to 9x Mellanox InfiniBand HDR 200Gbps Cards

Hyper Planner

Hyperplane 8-A100 pricing starting at

Hyperplanning Umons 2019 2020

Cluster-ready deep learning infrastructure

• Multi-node distributed training

  The new Lambda Hyperplane 8-A100 Supports up to 9x Mellanox ConnectX-6 VPI HDR InfiniBand cards for up to 1.8 Terabits of internode connectivity.

• NVIDIA multi-instance GPU (MIG) support

  The A100 GPUs inside the Hyperplane can now be seamlessly divided into 7 virtual GPUs each for up to 56 virtual GPUs in a Hyperplane 8.

• Engineered for you

  Leverage Lambda support to plan your next server or cluster build and ensure it meets the needs of your specific deep learning workloads.

NVIDIA Tesla A100 SXM4-40GB	NVIDIA Tesla V100 SXM3-32GB
FP32 CUDA Cores	6912	5120
Clock Speed	1410 MHz	1530MHz
Theoretical FP32 TFLOPS	19.5 TFLOPS	15.7 TFLOPS
VRAM	40 GB HBM2e	32 GB HBM2
Memory Bandwidth	1,555 GBps	900 GBps
GPU Interconnect	12 NVLink Connections (600 GBps)	6 NVLink Connections (300 GBps)
Process Node	TSMC 7nm	TSMC 12nm FFN
TDP (W)	400 W	300 W
Power Efficiency	45.2 GFLOPS / W	48.6 GFLOPS / W