Asus ESC1000G2 manual Specifications

Page 3

Specifications

Processor / System Bus

1 x Socket 2011

Intel® Xeon® processor E5-1600 product family Intel® Xeon® processor E5-1600 v2 product family Intel® Core™ i7 Processors for LGA 2011 Socket

*Refer to www.asus.com for CPU Support list

Core Logic

Intel® X79 Chipset

Memory

Capacity : Maximum up to 64GB UDIMM

Memory Type :

DDR3 2400 (O.C.)/2133 (O.C.)/1866/1600/1333/1066 UDIMM non ECC* DDR3 2400 (O.C.)/2133 (O.C.)/1866/1600/1333/1066 UDIMM with ECC* Memory Size :

8GB, 4GB, 2GB, 1GB UDIMM

Expansion Slots

Total: 6

4 x PCI-E 3.0 x16 (dual at x16/x16; Quad at x8/x8/x8/x8) 2 x PCI-E 3.0 x16 (at x4 mode )

Storage

SATA Controller :

Intel® X79

2 x SATA3 6Gb/s ports

4 x SATA2 3Gb/s ports

Intel® Rapid Storage Technology Enterprise(RSTe) (For Windows Only) (Support Software RAID 0, 1, 5, 10 )

SATA Controller :

Marvell 88SE9128

2 x SATA3 6Gb/s ports

Marvell® RAID Utility (For Windows Only) (Support Software RAID 0/1)

HDD Bays

4 * Hot-swap 3.5" "HDD Bays

Auxiliary Storage FDD/CD/DVD

3 * 5.25" media bays (Optional: No ODD/DVD-RW)

Image 3
Contents Quad-GPU support unleashes more computing power USB 3.0 Boost Maximum power supply with DIGI+ for demanding workloadsDual Intel Ethernet for fast networking Asus SSD CachingSpecifications Multi-GPU Support DimensionsWeight NetworkingPart List Fan Holder HDD TrayHDD Cage Fan

ESC1000G2 specifications

The Asus ESC1000G2 is a high-performance workstation designed for professional users in fields such as AI, machine learning, data science, and graphics-intensive applications. This system emphasizes powerful processing capabilities, exceptional graphics performance, and a modular design that provides users with flexibility and scalability.

At the heart of the ESC1000G2 is its support for the latest Intel Xeon or Core processors, allowing users to choose a configuration that best meets their performance needs. This ensures robust computing power to handle demanding workloads, regardless of the user's area of expertise. With multiple CPU options available, users can tailor their setup for tasks ranging from complex simulations to 3D rendering.

One of the standout features of the ESC1000G2 is its capacity for dual NVIDIA graphics cards, supporting the latest Quadro or GeForce GPUs. This dual GPU configuration makes it ideal for users needing superior graphical output, as it allows for advanced rendering and real-time visualization. The design also supports powerful GPU-accelerated compute tasks, resulting in faster completion times for data-heavy operations.

With up to 128GB of DDR4 memory, the ESC1000G2 provides ample RAM for multitasking and high-performance computing. This ensures that users can work with large datasets, run multiple applications simultaneously, and perform intricate calculations without experiencing latency or performance dips.

Storage options in the ESC1000G2 are versatile, featuring multiple drive bays that accommodate both SSDs and traditional HDDs. Users can implement a combination of high-speed NVMe SSDs for critical applications and larger HDDs for data storage, allowing for a balance between performance and capacity. This flexibility is essential for workflows that require swift data access alongside abundant storage.

The ESC1000G2 also prioritizes connectivity and expandability. Equipped with multiple USB ports, Thunderbolt 3 compatibility, and high-speed Ethernet ports, it allows users to connect various peripherals and network devices seamlessly. The system’s design includes ample PCIe slots, making it easier for users to upgrade their hardware as technology advances.

In summary, the Asus ESC1000G2 workstation stands out for its powerful processing capabilities, superior graphics performance, and flexible storage options. With its modular design and extensive connectivity features, it caters to the needs of professionals looking for reliability and maximum efficiency in demanding environments. Whether in artificial intelligence, video editing, or large-scale data analysis, the ESC1000G2 proves to be a valuable asset for today's performance-driven workloads.