TEC300P

IP65 Rugged Edge MXM-GPU Computer by Ampere® Altra® Q64, Nvidia Quadro MXM A4500

  • Ampere® Altra® Q64-22 SoC, 64 cores, 2.2 GHz, Ampere® Altra® Q96-28 SoC, 96 cores, 2.8 GHz and Ampere® Altra® Max M128
  • RAM DDR4-3200 MT/s Up to 4TB
  • RTX MXM A4500 GPU (5888 CUDA)
  • 2x10G(SFP), 2x1G, 3xUSB3.0, 1xVGA, 5xCOM
  • DC-IN 18V~36V

Special Request:

  • 2 x CAN BUS
  • AC Power In (Option)

 

 TEC300P Datasheet

 

CONTACT US FOR A QUOTE

Description

 

Ampere® Altra® Max Processor
Ampere’s Altra® family of processors are designed to deliver on predictable performance, high scalability and power efficiency. Ampere’s leadership on all these metrics deliver exceptional results and lower the TCO for Cloud Service Providers.

Why Ampere® Altra® Max based Server?

Performance Boost
With up to 80/128 cores and 128 PCIe lanes, this server can process data quickly and handle more jobs simultaneously, improving overall performance.

Architecture Efficiency
The Altra® Max server is designed specifically for cloud and edge computing, making it a native platform for cloud ecosystems. It offers a high number of computing cores, faster throughput, and low power consumption, resulting in improved efficiency and reduced operational costs.

Aggregate Powerhouse
It simplifies management and enhances efficiency by providing a management tool for cloud and edge computing. This allows for more efficient workload distribution and better control of resources.

Superhighway of Data
The server is equipped with the latest PCIe 4.0 and 128 PCIe lanes, which enables faster throughput for GPUs, storage, and networking. This results in faster data processing and transfer, improving overall performance.

Green Savings
The Ampere® Altra® provides best-in-class performance/watt, which helps businesses reduce operational costs and environmental impact. This makes it a cost-effective and environmentally friendly option for businesses looking to optimize their infrastructure and reduce TCO.

 

7StarLake Top Edge Rugged Computer
IP65 Rugged Edge MXM-GPU Computer by Ampere® Altra® Q64, the ultimate solution for businesses seeking powerful and reliable edge computing infrastructure.

One of the standout features of this computer is its Ampere® Altra®Q64-22 SoC with 64 cores running at 2.2 GHz, with options for Ampere Altra Q32 and Ampere Altra Max M128. This SoC ensures speedy and efficient processing, making it perfect for resource-intensive applications.

In addition to its powerful processing capabilities, the IP65 Rugged Edge MXM-GPU Computer features up to 4TB of DDR4-3200 MT/s RAM, providing ample memory to handle large datasets and demanding applications. The RTX MXM A4500 GPU, with 5888 CUDA cores, delivers exceptional graphics performance, making it ideal for use in scientific, engineering, and design applications.

This rugged computer is also designed to withstand harsh environments, with an IP65-rated enclosure that protects it from dust and water. Its connectivity options include 2x10G (SFP+), 2x1G, 4xUSB3.0, 1xVGA, 1xCOM, and 4xDP, ensuring seamless integration with existing network infrastructure.

The IP65 Rugged Edge MXM-GPU Computer also features a DC-IN of 18V~36V, ensuring reliable and consistent power delivery. Its compact size and rugged design make it easy to install in even the most challenging environments, while its powerful performance ensures that it can handle even the most demanding applications.

In summary, the IP65 Rugged Edge MXM-GPU Computer by Ampere® Altra® Q64 is the perfect solution for businesses looking to optimize their edge computing infrastructure. With its powerful processing capabilities, rugged design, and exceptional connectivity options, it’s the ideal choice for businesses seeking to stay ahead of the competition in today’s fast-paced digital landscape.

Specifications

System
CPU Ampere® Altra® Q64-26 SoC, 64 cores, 2.2 GHz, 95W TDP, Option Ampere® Altra® Q96-28 SoC, 96 cores, 2.8 GHz, and Ampere® Altra® Max M128
Memory type 16 x DIMM sockets with individual memory channels

Up to 4TB (16x 256 GB) DDR4 RDIMM memory, up to 3200 MT/s

GPU
Graphics Card RTX MXM A4500 (5888 CUDA Cores)
Storage
SSD TBD
Ethernet
Ethernet 2 x 1 Gigabit Ethernet with RJ45
2 x 10G SFP+
Side I/O
RJ45 GLAN 2
10 GbE SFP+ 2
COM 5
USB3.0 3
VGA 1
DC-IN 1
Power Button 1 x Power Button with LED backlight
OS support list
OS Linux RedHat ,Ubuntu
Power Requirement 28V DC-IN (18V-36V)
Dimension TBD
Weight 10 KG
Operating Temp. 0°C to 60°C
Storage Temp. -40°C to 85°C
Relative Humidity 5% to 95%, non-condensing
Environmental
MIL-STD-810 Test Method 500.5, Procedures I and II (Altitude, Operation):

12,192M, (40,000 ft) for the initial cabin altitude (18.8Kpa or 2.73 Psia)

Method 500.5, Procedures III and IV (Altitude, Non-Operation):

15,240, (50,000 ft) for the initial cabin altitude (14.9Kpa or 2.16 Psia)

Method 501.5, Procedure I (Storage/High Temperature)

Method 501.5, Procedure II (Operation/High Temperature)

Method 502.5, Procedure I (Storage/Low Temperature)

Method 502.5, Procedure II (Operation/Low Temperature)

Method 503.5, Procedure I (Temperature shock)

Method 507.5, Procedure II (Temperature & Humidity)

Method 509.7 Salt Spray (50±5)g/L

Method 514.6, Vibration Category 24/Non-Operating (Category 20 & 24,Vibration)

Method 514.6, Vibration Category 20/Operating (Category 20 & 24,Vibration)

Method 516.6, Shock-Procedure V Non-Operating (Mechanical Shock)

Method 516.6, Shock-Procedure I Operating (Mechanical Shock)

Reliability Conduction Cooling.

Designed & Manufactured using ISO 9001 Certified Quality Program.

EMC EN 61000-4-2: Air discharge: 8 kV, Contact discharge: 6kV

EN 61000-4-3: 10V/m

EN 61000-4-4: Signal and DC-Net: 1 kV

EN 61000-4-5: Leads vs. ground potential 1kV, Signal und DC-Net: 0.5 kV

Block Diagram

Dimensions

Ordering Info

TEC300P
CPU Ampere® Q64-22 Ampere® Q96-28
GPU-1 MXM RTXA2000 MXM RTXA4500
RAM Up to DDR4-1.5TB
USB3.0 4
VGA 1
DP 4
CAN BUS 2
COM 1
GLAN 2
10G SFP+LAN 2
Power DC 18V~36V

Download

 

 7StarLake_System Test Report_TEC300P_M64-22 CPU_s

 7StarLake_System Test Report_TEC300P_M96-28CPU_s