- Seekr, an AI developer, shifts to Intel Developer Cloud for efficient AI workload management.
- Intel Developer Cloud offers significant cost savings and performance boosts with cutting-edge AI chips.
- Seekr’s benchmarking tests reveal 20% faster AI training and 50% faster AI inference compared to on-premises setups.
- The collaboration showcases the potential for enterprises to optimize AI workloads with the latest Intel accelerators.
- Seekr’s phased migration plan to Intel Developer Cloud serves as a blueprint for other enterprises.
- Tech leaders are advised to benchmark thoroughly and evaluate cloud providers’ hardware roadmap and support offerings before committing to a cloud contract.
Main AI News:
Seekr, a leading AI developer, faced a crucial decision: how to efficiently run its AI workloads while keeping costs manageable. Seeking scalable computing power optimized for AI development, Seekr turned to Intel Developer Cloud. This strategic move promises significant cost savings and performance enhancements, leveraging Intel’s cutting-edge AI chips.
In today’s landscape, IT leaders grapple with the challenge of managing AI workloads affordably, especially at scale. For Seekr’s President and CTO, Rob Clark, addressing these questions is paramount to the company’s success. Seekr specializes in building and training transparent AI models, necessitating immense computing power tailored for AI development.
Initially, Seekr explored building and maintaining its hardware infrastructure, only to find it economically unfeasible. Consequently, the company partnered with a regional colocation provider but soon realized the need for a more scalable solution. Enter Intel Developer Cloud, a platform designed to empower developers to build and deploy AI at scale.
Benchmarking revealed compelling advantages: Seekr experienced 20% faster AI training and 50% faster AI inference compared to on-premises setups. This shift to Intel’s cloud infrastructure not only ensures access to the latest AI compute but also allows Seekr to scale computing resources dynamically, aligning precisely with its needs.
Seekr’s collaboration with Intel underscores the significance of leveraging the latest AI hardware for demanding workloads. Intel’s Gaudi 2 AI accelerator chip, renowned for its performance, presents a compelling alternative to competitors like Nvidia. However, it’s not just about performance; Seekr benefits from the flexibility of Intel’s cloud model, enabling efficient resource utilization.
Markus Flierl, corporate vice president of Intel Developer Cloud, emphasizes how Seekr’s adoption showcases the potential for enterprises with demanding AI workloads to harness the latest Intel accelerators effectively. By optimizing compute resources, Seekr demonstrates how businesses can enhance performance while reducing deployment costs.
As Seekr plans its phased migration to Intel Developer Cloud, its experience serves as a blueprint for other enterprises. Clark advises tech leaders to conduct thorough benchmarking and evaluate cloud providers’ hardware roadmap and support offerings before committing to a cloud contract. By embracing Intel Developer Cloud, Seekr epitomizes the potential for businesses to thrive in the AI era.
Conclusion:
Intel Developer Cloud’s adoption by Seekr underscores a strategic shift in the market towards leveraging cloud infrastructure for AI workloads. As businesses increasingly prioritize efficiency and performance in AI development, partnerships with innovative cloud providers like Intel become essential for staying competitive. This trend signals a broader movement towards scalable, cost-effective solutions tailored for the demands of modern AI-driven industries.
