AMAX AI-Artificial Intelligence Computing AMAX AI-Artificial Intelligence Computing
AMAX AI-Artificial Intelligence Computing
0
My Cart - 0 items
  • No product in the cart.

AceleMax DL-E400

AceleMax DL-E400

Description

Data Science and Analytics Workstation – 4x GPU

Powered by the latest NVIDIA RTX GPUs & Intel Xeon-W CPU. Preinstalled deep learning frameworks

  • Up to 18,432 CUDA Cores, 288 RT Cores, 2,304 Tensor Cores, 192GB GPU memory
  • Up to 65.2 TFLOPS Peak Single Precision Floating-Point Performance, 522TFLOPS Peak Tensor Performance
  • Workflow speed-up of up to 30x
  • Highly optimized cross compatible stack of data science libraries

Product Description

The AceleMax AI Workstations for Data Science are based on a powerful reference architecture made up of four, high-end NVIDIA Quadro RTX™ / GeForce RTX™, or dual Titan RTX™ GPUs and NVIDIA CUDA-X AI™ accelerated data science software. CUDA-X AI is a collection of libraries that enable modern computing applications to benefit from NVIDIA’s GPU-accelerated computing platform. These data science workstations make it easy for scientists to wrangle, prep, train and deploy models quickly and accurately.

Processor

Single LGA2066 socket Intel® Xeon® W-Series processor

System Memory (Maximum)

• 8x DDR4 DIMM slots
• Quad Channel DDR4 Memory Architecture
• Supports DDR4 RDIMM and LRDIMM, Max. 512GB

Chipset

Intel C422 chipset

Graphics Processing Unit (GPU)

4x NVIDIA Quadro RTX or 2x Titan RTX or 4x GeForce RTX

Expansion Slots

7x PCIe 3.0 x 16

Connectivity

2x 10 Gigabit LAN, Intel® X550-AT2

Management

Supports Out-of-band remote management and In-band Control Center

Drive Bays

• 2x 5.25”
• 4x 2.5”
• 2x Combo 3.5”/2.5”
• 2x M.2 Socket 3
• 2x U.2 connectors

Power Supply

2000W PSU (200V) (Note: 2000W PSU is 2000W @ 200V-240V and 1500W @ 100V-120V)

System Dimensions (H x W x D)

16.3” x 13” x 18” / 415mm x 332mm x 458mm

Enter your keyword