QNAP TS-2888X 28-Bay AI NAS Enclosure with Intel Xeon Processor W-2123, 4 Core 3.6 GHz, 32GB DDR4 ECC Registered RAM
SKU: QNTSXW212332
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About QNAP TS-2888X
Engineered for Machine Learning for Model-based Services
The TS-2888X packs everything required for machine learning to help organizations quickly and easily implement AI applications.
Huge Storage Potential
Data is the key to AI, and the TS-2888X provides the potential for huge capacities to remove the storage bottleneck from AI development.
Ready-to-use AI Environment
QNAP's QuAI computing platform reduces the time and complexity of implementation and management.
Powerful Computing
The TS-2888X supports multiple graphics cards to empower data-intensive machine learning.
Secure & Private
Public cloud training is not suitable for confidential or sensitive data. Keep full control over all your data with the TS-2888X!
Comprehensive Backup Solution
Flexible backup tools and snapshots protect your data while also allowing efficient disaster recovery
The Core. The Power. The Lead.
The Intel Xeon W processors in the TS-2888X provide up to 18 cores/36 threads and up to 4.5 GHz with Intel Turbo Boost Technology 2.0, combined with up to 512 GB DDR4 ECC RDIMM 2666 MHz memory to deliver rapid workload loading and processing.
Hardware
All-in-one AI Solution
The combination of system and software
Intro
Ready for AI. Built for intelligence.
Built around AI optimization with GPU-accelerated computing, hybrid-architecture storage, and a ready-to-use software environment, the TS-2888X greatly reduces the time and complexity for implementing and managing AI tasks with cost efficiency. It will help your organization drive more intelligent usage and identify business opportunities at every level.
Processor
Powerful CPU with liquid cooling
The TS-2888X is powered by a next-generation Intel Xeon W processor, available with up to 18 cores/36 threads of uncompromising processing power on a single die. An Asetek CPU liquid cooling system delivers unparalleled cooling performance for the 140-watt Xeon CPU, effectively absorbing and transferring heat to ensure maximized performance.
Memory
DDR4 ECC memory
The TS-2888X supports quad-channel DDR4 ECC memory running at 2666 MHz, with eight memory slots that support up to 512 GB to deliver rapid workload loading and processing. ECC memory also decreases the risk of computational errors, providing a higher level of reliability for complex tasks such as machine learning.
PCIe
Up to 4 high-end graphics cards
GPUs are the heart of AI and machine learning, making training a machine learning data set possible in hours instead of days. The TS-2888X provides eight PCIe Gen3 slots that can accommodate up to four high-end graphics cards to unleash tremendous computing power. With enough space for cards up to 330mm in length, the TS-2888X can accommodate almost every type of graphics card on the market.
Storage
Hybrid-architecture storage, and more flash
Machine learning demands not only GPU power but also a dependable storage infrastructure that provides huge capacity potential for storing growing datasets and meets small file I/O requirements for AI workloads. The TS-2888X utilizes a hybrid architecture with support for high-capacity hard drives and high-performance SSDs to meet these scale and performance requirements.
PSU
2000W 80Plus Platinum PSU
The TS-2888X features a 2000W 80Plus Platinum power supply, providing the ability to easily handle multiple high-end graphics cards.
I/o
Versatile I/O connections
The TS-2888X provides various I/O connections to support applications and services that supplement your AI tasks. Besides Gigabit Ethernet ports, two 10 Gigabit Ethernet ports provide high bandwidth for accelerating large file sharing and intensive data transfer. The USB ports also allow you to connect to different types of external devices.
Fan
Compartmentalized smart cooling
The front-panel LCD display provides at-a-glance system status information. Behind the huge air inlet screen there are six smart fans that separately detect temperatures in different zones (CPU, PCIe slots, power supply unit, and storage) to provide smarter, quieter, and energy-efficient cooling.
Quickly build, train and optimize AI models with QuAI
QNAP's exclusive QuAI enables data scientists and developers to quickly build, train and optimize machine-learning models running on QNAP NAS. Backed by high-performance machine-learning algorithms, the ready-to-use AI environment enables a range of open-source tools and frameworks (including Caffe, TensorFlow, and more) for the AI workflows readily available to you. The combination of system and software helps reduce time and complexity for setup and maintenance of AI environments.
U.2 SSDs offload data preprocessing workloads
Data must be preprocessed before it can be provided to machine-learning algorithms. Data preprocessing can consume a lot of memory, which has the potential to impact system performance. To maintain high performance while tackling data preprocessing you can install up to four U.2 SSDs in the TS-2888X. By configuring a RAID 0 for all four U.2 SSDs, you can obtain maximized bandwidth and higher capacity for preprocessing workloads, leading to improved quality, performance, and higher cost- efficiency.
Verify deep learning inference using OpenVINO
The Intel OpenVINO (Open Visual Inference & Neural Network Optimization) toolkit helps to streamline and accelerate deep learning inference, bringing computer vision and deep learning capabilities to edge devices smoothly. With the heterogeneous support for inferencing pre-trained models on Intel architecture hardware targets (CPU/GPU/FPGA/VPU), the OpenVINO toolkit allows you to optimize and verify the trained models developed by the TS-2888X before inferencing, and economically distribute vision solutions leveraging AI.
Effortlessly collect massive training data with Download Station
Machine learning requires a large set of data feeds, and Download Station can help to organize downloading tasks for massive training data. For example, more than 9 million images are in the Open Images Dataset v4 (20 TB complete sets, and 600 GB for competition purpose in 2018), and you can create download tasks using Download Station to collect those images automatically and on a scheduled basis.
IOPS-optimized storage infrastructure to boost AI workloads
Even with the best graphics cards at hand, the bottleneck for AI model training tends to be determined by IOPS as data sets grow and the training data comprises of many small data sets (usually more than 10 TB). The TS-2888X supports SSD caching to accelerate IOPS performance and reduce latency for storage volumes, providing many benefits for the metadata-intensive, small file I/O requirements of AI workloads. Qtier technology can also empower the TS-2888X with auto tiering to help strike a balance between performance and storage.
Assure data safety of every moment, at any time
Record the state of your system at any moment with snapshots. You can easily keep track of the state of your data, trained models and system at any time, and mitigate disastrous losses of trained data/models. In the event of malware attacks or unwanted changes, your stored data can be quickly reverted and restored to a specific point in time with snapshots to ensure continuity.
Easily back up and synchronize your data
Creating AI-scale data sets takes a long time, and losing them can be catastrophic. The TS-2888X supports Hybrid Backup Sync - QNAP's reliable and cost-effective backup & disaster recovery solution - to assist organizations in routine backup jobs. Hybrid Backup Sync consolidates backup, restoration and synchronization functions (using RTRR, rsync, FTP, CIFS/SMB), allowing you to easily synchronize data across various cloud storage, arrange scheduled backup tasks for onsite/off-site backups to ensure double protection, and to quickly restore data if needed.
Making AI accessible to your business blueprint
The TS-2888X integrates AI-focused hardware and software to reduce the time and complexity for implementing and managing AI tasks, making it the ideal AI solution with great cost-efficiency for most organizations and industries.
• Autonomous Vehicles
• Precision Healthcare
• Security & Intelligence
• Smart Manufacturing
• Consumer Retail
• Life Sciences Research
• Language Processing
• Predictive Analytics
• Financial Services Fraud Detection
• Supply Chain Logistics