Optimize Your AI
Slash latency, scale effortlessly, and optimize your AI workflow—all without compromising the quality of your generative AI outputs. Our Performance Optimization layer supercharges inference with model distillation, advanced serving engines, and token-aware compression—available for on-premises, public cloud, and bhybrid environments.
Performance Optimization Services
Performance Optimization is the subsystem that transforms inference from a costly bottleneck into a high-throughput, latency-aware asset. It achieves this by combining model distillation, inference engine acceleration, token-aware prompt strategies, and deployment orchestration for on-premises, cloud, or edge environments.
Accelerate your AI while keeping costs down—fast, lean, and built to scale.
In the Hawaiian language, Mālama means "To take care of, tend, attend, care for, preserve, protect" and is used in conjunction with precious resources. Our Helikai Malama service is focused at optimizing and preserving your precious AI resources!
Model Distillation Solutions
Transform foundational models into lightweight, efficient SLMs for rapid deployment.
Advanced Inference Techniques
Utilize memory-aware optimizations for efficient inference and reduced latency in applications.
Run Faster, Spend Less
Model distillation and fast inference engines like vLLM or ONNX slash compute overhead while preserving output quality—delivering high-throughput performance at low cost. Whether you're on-premises with our Alliance Partner hardware optimized GPUs or in the cloud on demand, your generative workloads stay lean and responsive.
Smart Prompts, Minimal Tokens
Advanced prompt compression and semantic shaping reduce latency and token usage—perfect for real-time chat, batch processing, or edge applications. You get faster answers with smaller prompts, without sacrificing context or fluency.
Deploy Anywhere - Hybrid Models
Our platform runs seamlessly across public cloud environments and/or your own infrastructure, thanks to Helikai Alliance Partnerships that we've certified with to support quantization, containerized inference, and edge-ready deployment. You choose the hosting strategy that meets your compliance, performance, and budget needs.
Scale with Confidence
Support both batch and streaming workloads using memory-aware orchestration and caching, built for parallel processing and autoscaling. Translate thousands of subtitles, annotate clinical datasets, or power legal assistants—without fearing timeouts or bottlenecks.
Stay Private, Go Fast
Containerized endpoints and on-premises optimization mean you can keep sensitive data in your environment while achieving cloud-grade performance. We integrate with secure inference pipelines, air-gapped workloads, and compliance-sensitive stacks—no trade-off between speed and sovereignty.
Get in touch with us to discuss your business requirements and technology pain points, and discover how our Mālama platform offering can help optimize your AI whether through prompt engineering, changing your underlying models/LLMs, or even limited training of new models for your particular domain and needs.
