At Alebra Technologies, we’ve spent decades focusing on a fundamental truth of enterprise computing: your applications and analytics are only as fast as your data transfer.
As a proud partner in the IBM ecosystem, we are incredibly excited about the launch of the new IBM z17™ single-frame and rack-mounted systems. This release represents a massive leap forward in how enterprises can leverage hybrid cloud, automation, and—most notably—real-time artificial intelligence at scale.
But as engineers, we know that to “do more at the core” with AI, you have to solve a very practical physical challenge first: getting the right data to the engine at the right time.
The Promise of the IBM z17
The IBM z17 is designed to help organizations modernize faster, slash operational complexity, and protect critical workloads with uncompromising security. By bringing together the new IBM Telum II™ processor and the IBM Spyre™ Accelerator, the system delivers unmatched on-platform processing power.
IBM z17 allows organizations to:
- Accelerate growth with AI at the core: Unlock new Agentic AI services, drive faster business outcomes, and speed up developer productivity.
- Transform operations with end-to-end automation: Eliminate blind spots, simplify system management, and get the most out of your hardware investment.
- Protect critical data with uncompromising security: Strengthen cyber resilience, simplify compliance, and reduce risk across hybrid environments.
These capabilities open up incredible opportunities. For example, the IBM Telum II processor on the z17 is designed to enable clients to leverage composite AI techniques and a multi-model approach for real-time inferencing within a transaction.
However, to run real-time inferencing on a transaction, the AI models need access to data—and in today’s hybrid cloud world, a lot of that vital business data lives off-platform on distributed systems, external databases, or in the cloud.
Alebra PDM: Feeding the z17 AI Engines at Maximum Speed
This is where Alebra comes in. If you are copying data across your network using legacy, CPU-intensive protocols to feed your mainframe AI workloads, you are creating latency bottlenecks and driving up your mainframe costs.
Alebra’s Parallel Data Mover (PDM) is the perfect companion to the IBM z17. PDM is engineered to move massive volumes of off-platform data directly to the mainframe with:
- Maximum Speed: PDM utilizes high-speed transport networks to move data at near-line rates, ensuring your real-time AI models aren’t stalled waiting for I/O.
- Ultra-Low CPU Overhead: By bypassing standard TCP/IP bottlenecks and utilizing specialized data transfer protocols, PDM drastically reduces z/OS CPU consumption during transfers, leaving those precious z17 mainframe resources free to handle business logic and high-velocity AI inferencing.
- Uncompromising Security: PDM secures data in transit, aligning perfectly with the z17’s robust security architecture to maintain end-to-end compliance and data integrity.
Real-Time AI Demands Real-Time Data
Whether you are implementing real-time credit card fraud detection, optimizing logistics, or deploying advanced Agentic AI services, your success depends on data throughput.
By combining the raw, on-chip AI acceleration of the IBM z17 and Telum II with the rapid, efficient off-platform data integration of Alebra PDM, our mutual customers don’t have to choose between speed, cost, and capability. They can feed their AI engines with the right data, at the right millisecond, without blowing their CPU budget.
We are proud to work alongside IBM to help our clients build a faster, more secure, and highly automated future.