Dell Storage Engines: Accelerating AI inferencing with PowerScale and ObjectScale
Dell, Thursday, October 30th, 2025
Dell's KV Cache offloading solution enables up to 19x faster Time to First Token over standard vLLM configuration, to support large-scale LLMs with greater efficiency.
Key Takeaways:
- Dell's scalable KV Cache offloading solution, powered by PowerScale and ObjectScale, delivers up to 19x faster Time to First Token (TTFT) versus standard vLLM, enabling higher inference performance and lower query response times.
- Freeing up GPU resources, Dell's solution offloads the KV Cache to high-performance storage, overcoming memory bottlenecks and improving efficiency. Benchmark tests show Dell's storage engines outperform competitors like VAST, delivering faster acceleration and better performance.
- Beyond inference, Dell's AI Data Platform (AIDP) simplifies the entire AI data lifecycle-from raw data to knowledge creation-empowering organizations to operationalize AI at scale.
Large Language Models (LLMs) are transforming business operations, from enhancing customer interactions to accelerating content creation. As these AI models become more powerful, their computational demands grow, creating a significant challenge: performance bottlenecks that can stall progress and inflate costs. Many organizations believe the only answer is to add more expensive, power-hungry GPUs.