Bud for Performant AI Scalable AI Simplified AI Responsible AI Private AI Performant AI Everything AI

Bud is designed to deliver optimal performance while minimizing total cost of ownership. It enables you to launch GenAI on commodity hardware—whether CPUs or widely available GPUs—and scale seamlessly as your business needs grow. With efficient resource utilization, smart scaling, and hardware-agnostic deployment, Bud optimizes costs while maximizing performance per dollar spent.

Bud makes your infrastructure intelligent—self-optimising and adaptive to workload demands so performance stays high and resources stay right-sized. Bud AI Foundry continuously monitors inference in real time for failures, slowdowns, and anomalies, and when it detects issues, it responds automatically: restarting services, redirecting traffic, or spinning up new instances to maintain uptime and keep production systems stable.

Bud makes GenAI initiatives scalable by removing infrastructure lock-in and automating the hard parts of running production AI. It's hardware- and cloud-agnostic, running across GPUs, CPUs, TPUs, NPUs and other accelerators from multiple vendors, and deploying seamlessly across 12+ clouds, private data centers, or the edge. With zero-config, SLO-aware scaling, Bud automatically scales models, agents, and tools across heterogeneous hardware without manual tuning, while intelligent orchestration schedules workloads across clusters and regions with built-in failover and disaster recovery to keep systems resilient at scale.

Bud simplifies GenAI by giving you an opinionated, end-to-end platform that abstracts away the technical complexity required to run AI in production. Instead of manually stitching together infrastructure, tuning performance, and managing scaling, Bud automates scaling and optimisations out of the box—so your models and agents stay fast, reliable, and cost-efficient without constant engineering effort. And with Bud Agent, you can manage the entire GenAI lifecycle in natural language: manage deployments, run optimisations, execute evaluations, and handle operational tasks through simple instructions—turning what used to be weeks of DevOps and ML ops work into a guided, streamlined workflow.

Bud is built to run GenAI safely and responsibly from day one, with guardrails and governance baked into the platform—not bolted on later. It supports regulatory and industry compliance needs by design, aligning with major AI and privacy frameworks (including White House and EU guidance, GDPR, and SOC 2–style controls) to help teams operate securely and credibly. Bud SENTRY provides a zero-trust security layer across model downloads, deployments, and inference, while granular access control and RBAC enforce least-privilege permissions for sensitive data and workflows. Continuous audit logging, monitoring, and alerting ensure end-to-end traceability—so you can detect issues early, prove compliance, and keep production AI under control.

Bud enables private AI by bringing the full GenAI stack into your own environment—so your data, models, and workloads never leave your control. With on-premise deployment, encrypted communications, and zero data retention policies, Bud ensures complete data sovereignty while delivering enterprise-grade performance.

Bud enables high-performance GenAI by optimising the full inference path—model, workload, and hardware—automatically. It applies the right mix of parallelism, quantisation, and execution strategies so you get maximum throughput without manual tuning, and routes requests through a high-speed AI gateway built for ultra-low latency (with sub-millisecond gateway overhead for real-time interactions). Bud also uses distributed KV caching to share context across instances, cutting latency and boosting concurrency under heavy workloads. In practice, this translates into major performance gains—up to ~3X higher throughput on NVIDIA GPUs, ~1.5X on other accelerators, and up to 12X faster cold starts—so production systems stay fast, responsive, and cost-efficient as usage scales.