"Production
Inference"

The infrastructure layer for deploying ML models at scale

Fast. Reliable. Scalable.

We specialize in production ML model deployment through a purpose-built inference platform that combines applied model performance research, elastically scaling infrastructure across multiple clouds, and developer-friendly tooling. The DRAKESTONE Inference Stack has become critical infrastructure for companies deploying generative AI at scale, from clinical AI platforms analyzing medical imaging to writing assistants processing millions of requests daily, to video editing tools requiring real-time inference at the edge.

Our platform is engineered from the ground up with a singular focus: making the deployment and operation of machine learning models in production environments not just possible, but effortless. We handle the complex orchestration of GPU resources, automatic scaling based on demand patterns, model versioning and rollback capabilities, and comprehensive observability—so your engineering teams can focus on building the AI features that differentiate your product, rather than wrestling with infrastructure complexity.

What We Offer

High-Performance Inference Runtime

The DRAKESTONE Inference Engine is a custom-built runtime environment specifically optimized for production ML workloads. Unlike generic serving solutions, our engine implements advanced batching strategies, continuous batching for LLMs, speculative decoding, and memory-efficient attention mechanisms that can reduce inference latency by up to 80% compared to naive implementations while maximizing GPU utilization across your entire fleet.

Core Engine Capabilities

  • Continuous Batching: Dynamically batch incoming requests to maximize throughput without sacrificing latency. Our scheduler processes up to 847,000 tokens per second on an 8x A100 cluster, automatically adjusting batch sizes based on sequence lengths and available memory to ensure optimal resource utilization for every request in the queue.
  • PagedAttention Implementation: Memory-efficient attention computation that reduces GPU memory requirements by 55% for long-context workloads, enabling you to serve larger models on smaller GPU configurations or increase concurrent request capacity on existing infrastructure.
  • Speculative Decoding: Accelerate autoregressive generation by 2-4x using draft models that predict likely next tokens, significantly reducing the number of forward passes required for text generation while maintaining exact output quality with no approximation errors.
  • Streaming Response Delivery: First-token latency under 15ms for most models, with token-by-token streaming that enables responsive user experiences. Our WebSocket and Server-Sent Events implementations handle millions of concurrent streaming connections with consistent sub-second time-to-first-token.
  • Multi-Model Serving: Run multiple models on shared GPU infrastructure with intelligent memory management and model swapping. Our scheduler predicts access patterns and pre-loads models to minimize cold start latency while maximizing GPU memory utilization across your model portfolio.

Supported Model Architectures

The inference engine supports the complete spectrum of production ML model architectures, with optimized kernels and execution paths for each family. Whether you're deploying large language models for text generation, vision transformers for image analysis, diffusion models for content creation, or specialized architectures for domain-specific applications, our runtime provides first-class support with architecture-aware optimizations.

Large Language Models LLaMA, Mistral, Falcon, MPT, Qwen, Yi, DeepSeek, CodeLlama, Phi, Gemma
Vision Models CLIP, ViT, DINOv2, SAM, BLIP-2, LLaVA, Idefics, PaLI, Florence
Diffusion Models Stable Diffusion XL, DALL-E, Midjourney-style, ControlNet, IP-Adapter, AnimateDiff
Audio & Speech Whisper, Bark, VALL-E, AudioLM, MusicGen, Tortoise TTS, XTTS
Video Models Sora-style, Runway Gen-2, Pika, VideoLDM, Make-A-Video, CogVideo
Embedding Models BGE, E5, Instructor, Jina, Cohere Embed, Voyage, UAE-Large

Platform Architecture

The DRAKESTONE Inference Stack is a vertically integrated platform built from the ground up for production ML workloads. Every layer—from custom CUDA kernels to our global edge network—is optimized for the unique requirements of serving machine learning models at scale. Our architecture delivers industry-leading performance while maintaining the reliability and security that enterprise deployments demand.

Developer Experience
CLI SDKs Web Console REST API GraphQL
API Gateway
Authentication Rate Limiting Load Balancing SSL Termination
Control Plane
Model Registry
Deployment Manager
Auto-Scaler
Config Store
Inference Engine
Request Router
Continuous Batcher
Model Runtime
KV Cache Manager
Tensor Parallelism
Quantization Engine
Infrastructure
AWS GCP Azure Bare Metal
H100 • A100 • L40S • T4 • TPU v5

Global Edge Network

Inference endpoints deployed across 47 edge locations worldwide deliver sub-50ms latency to 95% of internet users. Our anycast routing automatically directs requests to the nearest available GPU cluster, while our proprietary network fabric optimizes packet routing for ML workloads with their characteristically large response payloads.

Distributed Model Storage

Model weights are replicated across our global storage network with intelligent caching at every layer. When you deploy a model, weights are automatically pre-positioned at optimal locations based on expected traffic patterns, ensuring cold starts complete in seconds rather than minutes even for 100GB+ models.

Zero-Copy Inference

Our inference engine eliminates unnecessary memory copies between CPU and GPU, between model layers, and between request processing stages. Combined with kernel fusion and optimized memory layouts, this reduces memory bandwidth bottlenecks by 40% and enables higher batch sizes on the same hardware.

Consistent Scheduling

Our scheduler guarantees consistent request latency regardless of cluster load through careful queue management, priority-based scheduling, and request admission control. SLA-critical traffic is automatically identified and routed through dedicated fast paths that bypass batch accumulation delays.

Built for Production AI

Fast-growing AI companies trust the DRAKESTONE Inference Stack to power their most demanding production workloads. From clinical AI platforms analyzing medical imaging in real-time to consumer applications serving millions of daily active users, our infrastructure delivers the performance, reliability, and scale that production AI demands.

Clinical AI & Medical Imaging

Healthcare AI platforms require the highest standards of reliability, security, and performance. Our HIPAA-compliant infrastructure processes medical images, pathology slides, and clinical documents with sub-second latency while maintaining complete audit trails and data isolation. Deploy diagnostic models that analyze radiology scans in real-time, enabling physicians to receive AI-assisted insights during patient consultations without workflow disruption.

  • HIPAA BAA and SOC 2 Type II compliance
  • End-to-end encryption with customer-managed keys
  • Dedicated tenant isolation for PHI workloads
  • FDA 21 CFR Part 11 audit logging

AI Writing Assistants

Power next-generation writing tools that help users draft emails, documents, and creative content with AI assistance. Our streaming inference delivers character-by-character response generation with first-token latency under 15ms, enabling the responsive, interactive experience users expect. Handle millions of concurrent sessions with consistent quality of service during peak usage periods.

  • First-token latency under 15ms at P99
  • WebSocket and SSE streaming support
  • Automatic scaling for traffic spikes
  • Token-level billing with detailed analytics

Video Editing & Production

Enable AI-powered video editing workflows that transform raw footage with intelligent scene detection, automatic color grading, object removal, and generative effects. Our GPU infrastructure handles the compute-intensive vision models required for professional video production while meeting the real-time requirements of interactive editing sessions.

  • Real-time video frame processing
  • Multi-model pipelines for complex workflows
  • 4K and 8K resolution support
  • Batch processing for render farms

Real-Time Customer Support

Deploy conversational AI agents that handle customer inquiries with human-like understanding and response quality. Our inference platform supports complex multi-turn conversations with context windows spanning thousands of tokens, enabling AI agents to maintain coherent conversations across extended support sessions while handling surges in ticket volume without degradation.

  • Sub-second response generation
  • Long-context conversation management
  • RAG integration for knowledge bases
  • Sentiment analysis and escalation triggers

E-Commerce & Personalization

Power product recommendations, visual search, and personalized shopping experiences that drive conversion and customer satisfaction. Our embedding models process product catalogs with millions of SKUs, enabling semantic search that understands customer intent beyond keyword matching. Generate personalized product descriptions, size recommendations, and style suggestions in real-time.

  • High-throughput embedding generation
  • Visual similarity search
  • Dynamic content generation
  • A/B testing for model variants

Document Intelligence

Transform unstructured documents into actionable insights with AI-powered extraction, classification, and summarization. Process contracts, invoices, reports, and correspondence at scale with models that understand document layout, extract key entities, and generate structured outputs for downstream systems. Support legal, financial, and compliance workflows with auditable AI processing.

  • Multi-page document processing
  • Layout-aware extraction
  • Structured output generation
  • Compliance-grade audit logging

Enterprise Security

Security is foundational to the DRAKESTONE platform, not an afterthought. We maintain comprehensive security certifications, implement defense-in-depth architectures, and provide the controls enterprise customers require for deploying AI in regulated industries. Our security team continuously monitors for threats, conducts regular penetration testing, and maintains incident response capabilities around the clock.

Data privacy is paramount in ML inference where models process sensitive information. Our platform provides complete data isolation between tenants, encryption at rest and in transit, and configurable data retention policies. For the most sensitive workloads, we offer dedicated infrastructure deployments with customer-managed encryption keys and network isolation.

SOC 2 Type II Annual audit of security, availability, and confidentiality controls
HIPAA BAA available for healthcare and clinical AI workloads
GDPR Data processing agreements and EU data residency options
ISO
ISO 27001 Information security management certification

Get Started

Ready to deploy your ML models with confidence? Our team works with AI companies at every stage—from startups launching their first production model to enterprises scaling inference to millions of daily requests. Tell us about your project and we'll help you find the right deployment strategy.

Phone (202) 304-5300
Email contact@drakestone.tech
Address
12736 Beach Blvd, Suite 230
Stanton, CA 90680

We typically respond within 24 hours