Sonic Inference Engine®
Custom AI-native hardware engineered to deliver the fastest AI inference at 10x lower price. Designed from the PCB up for high inference throughput with proprietary boards, servers, racks, networking, datacenter and cooling architecture.
Engineered for AI Inference
- Custom AI native servers running best-in-class NVIDIA GPUs
- End-to-end design – custom compute architecture, storage, networking, cooling
- Accelerated inference software with compounded +100% inference throughput gains
- Proprietary Model Lake with sub-second cold starts for +400K models
Dominates Traditional Data Centers
- 2x inference throughput for top open source AI models
- 80% lower CAPEX and OPEX to deploy
- 50x faster build-out: 3 weeks to deploy instead of 3+ years
- The highest density compute in AI – 1 MW of compute in a 20 ft. Inference Pod
inference pod
Unified API – Scale inference to millions of users instantly
High Performance Networking & Routing
Custom low(est)-latency PCIe networking | Intelligent inference request routing to nodes
Realtime Model Lake
Sub-second cold-start for +400K models | Enterprise-grade redundant storage
under the hood
2x throughput per GPU
Our custom inference engine extracts maximum performance from every GPU, delivering double the throughput compared to standard deployments through advanced batching and memory management.
Zero model limitations
Run any model architecture without restrictions. Our platform supports all major frameworks and model types, from transformers to diffusion models, with no vendor lock-in.
Intelligent parallelization
Automatic model sharding across multiple GPUs with optimized tensor parallelism. Large models run seamlessly without manual configuration or complex deployment pipelines.
Software-level optimizations
Custom CUDA kernels, flash attention, and continuous batching maximize efficiency. Our runtime automatically applies the best optimizations for each model architecture.
Inference Node
model lake & global scaling
Scaling to 1M+ AI models in 2026
- Model Lake makes all models available for inference anytime
- If an AI Model is not in GPU Node memory, it is loaded in realtime when an inference request arrives
- Intelligent Routing directs request to the best Node – based on model availability, performance, and queue
- AI Models remain on Nodes as long as they receive requests
- Model Upload API loads compatible AI models directly into Model Lake for immediate inference access
Routes requests to optimal nodes
Local access, global scale
- Multiple global points of presence → low-latency in key regions
- Capacity scaling in 3rd party GPU providers → no scale or capacity limits
- Any Pod can run any model – no restrictions on model or inference type
- Model Lake in every Pod – realtime cold-starts in any region
- Power sourced directly from the source – lowest cost, no overheads and transport charges
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