AI and Deep Learning Technology from Supermicro

Deep Learning GPUs

Using various layered synthetic neural networks, Deep Learning GPUs, and a division of Machine Learning and Artificial Intelligence is the most advanced method currently used in computer science to complete tasks that are too complex to program. A large number of data elements must be processed during the training phase of deep learning for the neural network to learn the element by itself and adapt to perform tasks like machine vision and voice recognition.

Framework for Deep Learning and AI

With the help of our proprietary Deep Learning GPUs installation, the end user may launch Deep Learning projects right away without having first to program a GPU. A whole Artificial intelligence or Deep Learning application stack is offered by Supermicro Artificial intelligence and Deep Learning GPUs.

Advantages of Supermicro’s AI and Deep Learning Solutions

  • A stronghold for computation

Supermicro SuperServer computers power the Supermicro Deep Learning and Artificial Intelligence cluster. The cluster is equipped with NVIDIA’s deep learning GPUs.

  • Parallel Computing at High Density

For optimal parallel computation capability, approximately 32 GPUs having around 1TB of GPU storage are required.

  • NVLink’s boosted bandwidth.

It uses NVLink, which speeds up GPU-GPU connection and improves system efficiency when handling many Deep Learning applications.

  • Quick Processing

Tensor Core is an architecture used by NVIDIA Tesla V100 GPUs. Tensor cores can generate approximately 125 Transistor TFLOPS for interpretation and learning operations and support deep-learning GPUs.

  • Scalable Architecture

The highly scalable scale-out design has 100G IB EDR material.

  • Highly engineered All-flash NVMe storage is provided by Rapid Flash Xtreme (RFX).

For AI and Deep Learning operations, the Supermicro BigTwinTM and WekaIO parallel filing systems are combined in the best available comprehensive storage solution known as RFX.

Server Platforms with Ready for AI & Deep Learning GPUs from Supermicro:

  • SYS-1029GQ-TVRT

Main Elements:

  • Large Data Science, Study Lab, Astronomy, Economic Analysis, HPC, Artificial Intelligence
  • DP Dual Socket support
  • Approximately 3TB 3DS ECC DDR4-2933 MHz LRDIMM
  • Conforms with Intel Optane DCPMM
  • Internal 2.5″ drive bays, and two hot-swap 2.5″ drive bays
  • Four slots for PCI-E 3.0 x16
  • Intel X540 provides two 10GBase-T ports and one dedicated IPMI interface.
  • 2 COM, 1 VGA, and 2 USB 3.0
  • Seven heavy-duty, counter-rotating, 4 cm fans with an air shield
  • Power Supplies with a 2000W Redundant Titanium Level
  • SYS-4029GP-TVRT

Key Elements:

  • Big Data Analytics, Research Labs, High-performance Computing, Astrophysics, and Business Intelligence
  • DP Dual Socket support
  • Is compatible with Intel Optane DCPMM
  • 16 2.5″ drive bays with hot swap
  • 2 PCI-E 3.0 x16, 4 PCI-E 3.0 x16
  • Intel X540 provides two 10GBase-T ports and one dedicated IPMI interface.
  • 2 USB 3.0, 1 COM, and 1 VGA
  • Four 80mm cooling fans and eight 92mm cooling fans.
  • Redundant 2200W Titanium Level Power Supplies
  • SYS-6049GP-TRT

Main Features:

  • Deep learning and AI, video encoding
  • DP Dual Socket support
  • Approximately 6TB 3DS ECC DDR4-2933 MHz LRDIMM
  • Complies with Intel Optane DCPMM
  • Hot-Swappable 8x 92mm RPM Cooling Fans
  • Two extra 2.5″ U.2 NVMe drives, 24 Hot-swap 3.5″ drive bays
  • Power Supplies 2000W Redundant Titanium Level
  • 4 USB 3.0, 1 COM, and 1 VGA
  • 1 PCI-E 3.0 x8 slot and 20 PCI-E 3.0 x16 slots
  • Intel C622 port for two 10GBase-T ports
  • SYS-9029GP-TNVRT

Key Elements:

  • Approximately 6TB 3DS ECC DDR4-2933 MHz LRDIMM
  • DP Dual Socket support
  • 2 USB 3.0, 1 COM, and 1 VGA
  • Allows for Intel Optane DCPMM
  • Redundant Titanium Level Power Supplies at 6x 3000W
  • Intel X540 provides two 10GBase-T ports and one dedicated IPMI interface.
  • Eight 92mm hot-swap fans and six 80mm PWM warm-swap turbines
  • 2 PCI-E 3.0 x16 onboard spaces and 16 PCI-E 3.0 x16 slots for RDMA through IB EDR.
  • High-performance computing, AI, and deep learning
  • Six 2.5″ SATA3 drive bays and sixteen 2.5″ hot-swap NVMe disk bays.

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