Global Inference at the
Speed of Thought
Eliminate redundant prefill computation and maximize global KV-cache locality. Tensor Axiom replaces stateless round-robin load balancing with high-speed edge tokenization, lock-free sharded Radix Trie routing, speculative in-flight cache locking, and physical Prefill/Decode disaggregation across more than 15 tunable API parameters.
Sub-Millisecond Stateful Routing & Disaggregation
Multi-Engine Abstraction & Gateway API
Natively implements the Kubernetes Gateway API Inference Extension (GAIE), managing InferencePools and HTTPRoutes via Envoy's External Processing bidirectional gRPC filter. The control plane inspects payloads in flight while completely abstracting metric schemas across vLLM, SGLang, and TensorRT-LLM.
Prefill/Decode Disaggregation
Physically decouples compute-bound prompt processing (prefill) from memory-bandwidth-bound token generation (decode) across specialized compute and memory-optimized accelerator pools. Once initial attention matrices are finalized, KV state transfers over high-speed interconnects without stalling ongoing token generation.
Edge Tokenization & Sharded Radix Trie
Tokenizes 150K-token prompts in under three milliseconds on standard gateway CPUs prior to accelerator ingress. The resulting token hashes query a multi-shard, lock-free Read-Copy-Update (RCU) Radix Trie synchronized via a high-water-mark ZeroMQ PUB/SUB mesh, locating the exact pod holding the deepest prefix match in under one millisecond.
Speculative In-Flight Cache
Eliminates redundant prefill spikes during bursty enterprise traffic. The router optimistically reserves KV-cache blocks for in-flight prompts and consolidates concurrent identical queries onto a single target GPU, pairing multi-dimensional queue-depth scoring with cryptographic Rendezvous Hashing tie-breakers.
KEDA-Powered KV-Cache Autoscaling
Replaces lagging CPU and memory thresholds with KEDA-driven autoscaling anchored to live GPU KV-cache utilization percentages and token-aware predictive queue sampling. Resource-intensive long-context endpoints scale independently from lightweight auxiliary models to guarantee strict multi-tenant SLAs.
Multi-Tier Dynamic LoRA Routing
Tracks fine-tuned Low-Rank Adaptation (LoRA) weights across VRAM, Host RAM, and NVMe storage tiers. The composite scoring engine prioritizes zero-cost active HBM hits, applies calibrated bus-transfer penalties for warm Host-RAM offloads, and quarantines saturated nodes to prevent PCIe adapter thrashing.
Hardware Fault Circuit Breakers & Thermal Protection
Continuously ingests low-level accelerator telemetry, including uncorrectable ECC VRAM errors, PCIe/NVLink bus anomalies, and real-time silicon thermal throttling states, directly into the Endpoint Picker scoring matrix. Degraded nodes automatically receive geometric virtual latency penalties or instant circuit-breaker isolation, steering live inference traffic away from failing silicon before tail-latency violations or silent corruptions occur.