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IBM PowerVS positions partners and their customers for success with AI

June 27, 2024

Artificial intelligence (AI) is transforming the way people do, well, everything. IBM Power Virtual Server (PowerVS) is a top layer in the AI game for organizations of every size. It simplifies AI deployment while maximizing return of investment (ROI) by efficiently handling more data workloads. Read on to explore the features and benefits of IBM PowerVS and understand how IBM positions channel partners to enhance their offerings and support their clients' unique needs. 

Embrace multi-model and hybrid cloud strategies

IBM's research shows that many enterprises are adopting multi-model AI strategies, using a mix of commercial and open-source models to meet a variety of needs. This approach provides flexibility and resilience, allowing companies to prioritize and deploy the most effective AI tools for their specific use cases. 

Moreover, the trend toward hybrid and multi-cloud environments enables organizations to run AI workflows where their data and application live, optimizing for performance, cost and security. For channel partners, this flexibility translates into the ability to offer tailored, scalable AI solutions that integrate seamlessly with clients' existing infrastructures. 

IBM's approach to AI-ready IT infrastructure

IBM delivers three key advantages with PowerVS:

  • Reliable performance
  • Hybrid flexibility
  • Secured insights

You can be sure you're helping customers meet complex generative AI requirements, supporting the creation of AI workflows that adapt based on the location of data and applications and providing tight security that meets stringent compliance demands. 

Handle demanding AI workloads efficiently

IBM Power10 servers, including the Power E1080 and Power E1050, are engineered to efficiently handle demanding AI and data workloads. The advantages in performance and cost-effectiveness include:

  • Increased throughput: Power10 servers provide up to 42% more inferencing throughput than x86 servers, enabling faster processing of AI tasks.1
  • Energy efficiency: With 39% higher inferencing, these servers deliver higher performance per unit of energy.2
  • Cost savings: Organizations can achieve a 51% lower total cost of ownership over three years, making these servers a financially sound choice.3 

The elements of infrastructure that accelerate AI

 

On-chip AI acceleration Large memory and cache  Highly parallel Enterprise server design
  • Accelerates matrix and vector math operations in the processor without GPUs
  • Minimizes data movement from processor to GPU and vice-versa
  • Lower quantization for improved performance
  • Stores large AI models (like LLMs), large datasets (higher batch sizes), multiple AI models (parallel inferencing) in single memory (1TB-16TB)
  • Large cache (4x)to speed up execution
  • Provides up to 8 threads per core (4x vs. Intel)
  • Runs parallel jobs for AI inferencing
  • Improves throughput
  • Allows the same work with lower energy usage 
  • Consolidates more workloads due to higher guaranteed utilization

Ensure data security

IBM Power10 prioritizes security, providing comprehensive measures to protect data across the entire stack. Features like secure boot, hardware isolation and runtime workload verification minimize vulnerabilities and certify data integrity. These security measures help build user trust and confidence in AI operations, which is crucial for industries handling sensitive data. 

Real-world examples demonstrating impact

PowerVS already delivers tangible benefits across sectors. For example, one hospital in Asia used AI on IBM Power10 to enhance pathology workflows, leading to quicker and more accurate diagnoses. In Europe, a financial institution optimized IT resources and automated fraud detection using AI, demonstrating the platform's versatility and effectiveness. 

PowerVS tightly integrates with other AI resources

It's a solution that works well with other AI resources such as IBM watsonx, x86 systems and GPUs, providing environments for various uses. The versatility empowers businesses to combine the strengths of different AI tools and platforms, ensuring they can select the best resources for each task. Whether using watsonx for advanced AI capabilities or managing x86 systems and GPUs for specific computational needs, PowerVS offers a cohesive and flexible framework that enhances overall AI performance and efficiency. 

Empowering channel partners

Together, IBM PowerVS and Power10 make a powerful toolkit our channel partners can introduce to their clients. By offering IBM AI-optimized hardware and software, channel partners can deliver scalable, efficient and secure AI solutions. 

Register for our webinar to learn more

 

Interested in hearing practical steps you can take to integrate GenAI into your business model? Then register for Arrow's next IBM PowerVS AI webinar, Embracing the power of GenAI: Transforming business models. 

Register here. 

The webinar's featured speakers are Kavita Sehgal, Program Director for IBM Power and AI and Modernization and Arrow's very own IBM Champion, Dave Waddell. See you there!

Sources 
1 Based on IBM internal testing of question and answer inferencing using PrimeQA model (based on Dr. Decr and ColBERT models). IBM S1022 Power system:  https://redbooks.ibm.com/abstracts/redp5675.html
2 Based on IBM internal testing of data science components, (WML, WSL, Analytic Engine) of Cloud Pak for Data version 4.8 in OpenShift 4.12. Results valid as of 11/17/2023 and conducted under laboratory condition. Individual results can vary based on workload size, use of storage subsystems & other conditions.
3 Based on IBM internal testing of data science components, (WML, WSL, Analytic Engine) of Cloud Pak for Data version 4.8 in OpenShift 4.12. Results valid as of 11/17/2023 and conducted under laboratory condition. Individual results can vary based on workload size, use of storage subsystems & other conditions.
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