Name: Scalable M4 Blade Module B460
Brand: Cisco
Price: 1519.95 USD
Availability: InStock

Cisco UCSB-EX-M4-3A Scalable M4 Blade Module B460

price

$1,519.95

Ships next business day.

In Stock: 5
Manufacturer: Cisco
Model or Part: UCSB-EX-M4-3A
Condition: Refurbished
Weight: 3.00lb

Qty

Add to Cart

Buy Now

Add to Wish List

Shipping Information

United States Shipping

Orders over $200 qualify for Free Super-Saver Shipping! We ship at our discretion via the most cost-effective method using FedEx, UPS, or USPS.

To ensure your order is processed efficiently, all shipping charges must be pre-paid at checkout. We are unable to bill directly to third-party shipper accounts or use customer-provided labels for domestic shipments.

International Shipping

International orders begin processing as soon as payment is confirmed.

Pre-paid Shipping: For your convenience, you can select and pay for international shipping directly at checkout.
Carrier Accounts: Alternatively, we can bill transport costs directly to your FedEx account number. (Note: We cannot bill to DHL, TNT, or UPS accounts).
Customer Labels: We are also happy to ship internationally using pre-paid labels provided by you for any carrier.

Expedited and Rush Shipping

Need it faster? HardwareJet.com offers 1 or 2-day expedited shipping options during checkout for eligible items.

To get your order to the front of the line, expedited orders include a small rush fee in addition to the carrier's shipping charges. If an item is not available for expedited shipping, these options will not appear in your cart.

Product Information

Item Condition

New - Sealed or Open Box Condition
Excellent - Almost-New, Missing Original Packaging
Refurbished - Seller Refurbished, Good Condition, Previously Used Item

To bring you an even wider selection, some of our items are shipped directly from our trusted partners. Delivery times may vary for these items.

💬 Recently Purchased by Your Peers

Description

Overview

The Cisco UCSB-EX-M4-3A Scalable M4 Blade Module B460 is a high-performance compute blade designed for modern data center environments that demand density, flexibility and seamless integration with Cisco Unified Computing System (UCS) fabrics. This module delivers up to four Intel Xeon E5-2600 v4 processors, extensive memory capacity and versatile I/O options, enabling you to consolidate workloads ranging from virtualization to high-performance computing while maintaining low power consumption.

Key Features

Supports up to 4 sockets of Intel Xeon E5-2600 v4 family processors for scalable compute power
Maximum memory capacity of 1.5 TB with DDR4 DIMM slots, providing ample bandwidth for memory intensive applications
Integrated dual 10 Gigabit Ethernet ports and optional Fibre Channel or SAS adapters for flexible networking and storage connectivity
Hot-swap capable design reduces downtime during maintenance or upgrades
Fully compatible with Cisco UCS Manager for unified policy based provisioning, monitoring and lifecycle management
Energy efficient power supplies and intelligent thermal management to lower operating costs

Technical Specifications

Processor sockets: 4 (Intel Xeon E5-2600 v4 series)
Memory slots: 24 DDR4 DIMM, up to 1.5 TB total
I/O options: 2 x 10 GbE, optional FC, SAS or NVMe adapters
Form factor: 3U blade module for Cisco UCS B460 chassis
Power: Dual hot-swap redundant power supplies, up to 1500 W total
Cooling: Front-to-back airflow with variable fan speed control
Management: Integrated Cisco UCS Management Engine (UME) and support for CIMC

Applications

Virtual desktop infrastructure (VDI) where dense compute and memory are required
Enterprise cloud platforms that need rapid provisioning and scaling
High performance computing (HPC) workloads such as simulation, modeling and analytics
Database consolidation and in-memory data processing
Large scale web hosting and application delivery environments

By leveraging the Cisco UCSB-EX-M4-3A Scalable M4 Blade Module B460, organizations can achieve higher compute density, simplify management and reduce total cost of ownership while preparing their infrastructure for future growth.