Astroship

About

We are a small passionate team.

Delivering custom-optimized deep learning containers

KernelPro is a specialized GPU optimization firm that delivers custom-engineered deep learning containers designed to dramatically outperform standard AWS vLLM implementations. As an authorized AWS reseller with deep technical expertise in CUDA kernel development and model inference optimization, we provide enterprise-grade solutions that are precision-tuned for specific conversational AI use cases. Our core offering centers on bespoke implementations of vLLM, SGLang, and TensorRT that leverage custom kernel architectures to deliver performance improvements over default AWS Deep Learning Containers—translating directly into massive cost savings and faster time-to-market for mission-critical AI applications.

Unlike generic infrastructure providers, KernelPro operates at the intersection of cloud services and deep technical specialization. We analyze each client's specific conversational system prompts, dialogue patterns, and inference workloads to identify optimization opportunities that off-the-shelf solutions cannot address. Our engineering team builds custom kernels that exploit these specific characteristics—whether that's optimizing for particular token length distributions, specific attention patterns, or unique batching requirements. This hyper-targeted approach means our clients achieve performance levels impossible with standardized solutions, while maintaining full compatibility with existing AWS infrastructure and workflows.

Our value proposition is straightforward: we enable enterprises to do more with less. By dramatically improving GPU utilization and inference throughput, we help our clients reduce infrastructure costs by while simultaneously improving response latency and system capacity. This creates a compounding advantage—lower costs enable broader deployment of AI capabilities, which drives more value creation and competitive differentiation. For enterprises deploying conversational AI at scale—whether for customer service, internal productivity tools, or product features—KernelPro represents the difference between AI as an expensive experiment and AI as a strategic competitive advantage.