Fabric
Routes every request to the right model on the right hardware, across clusters and clouds, under your rules for cost, latency and data residency.
- Model and hardware routing
- Multi-cluster, multi-cloud scheduling
- Policy-driven placement
AI inference & compute intelligence
Four layers. One goal: more intelligence per unit of compute.
The Axentrai platform optimizes AI from the moment a request arrives to the moment an answer leaves, across software, compute, memory and networking.
Inference Lab
See the economics move.
Set your workload, switch platform layers on and off, and watch the accelerator fleet resize.
Live demo · take the controls anytime
Without Axentrai17
accelerators
With Axentrai7
accelerators
Fleet needed for the same work41%
Illustrative model with placeholder assumptions, not a benchmark. Ask us for figures on your workload.
01 / 04
Fabric
AI orchestration
Routes every request to the right model on the right hardware, across clusters and clouds, under your rules for cost, latency and data residency.
- Model and hardware routing
- Multi-cluster, multi-cloud scheduling
- Policy-driven placement
02 / 04
Runtime
Inference execution
A high-performance execution layer that runs models faster on the hardware you already own, through smarter batching, scheduling and memory management.
- Continuous batching
- Memory-aware scheduling
- Hardware-tuned execution
03 / 04
Optimize
Token efficiency
Cuts the tokens each request needs, with caching, context management and prompt optimization, so every answer costs less without losing quality.
- Prompt and context optimization
- Intelligent caching
- Quality-preserving compression
04 / 04
Cloud
Managed inference
Optimized inference delivered as a managed service, so your teams ship AI features without building or running the infrastructure underneath.
- Managed endpoints
- Elastic capacity
- Enterprise-grade operations
The four layers
Runtime
A high-performance execution layer that runs models faster on the hardware you already own, through smarter batching, scheduling and memory management.
- Continuous batching
- Memory-aware scheduling
- Hardware-tuned execution
Optimize
Cuts the tokens each request needs, with caching, context management and prompt optimization, so every answer costs less without losing quality.
- Prompt and context optimization
- Intelligent caching
- Quality-preserving compression
Cloud
Optimized inference delivered as a managed service, so your teams ship AI features without building or running the infrastructure underneath.
- Managed endpoints
- Elastic capacity
- Enterprise-grade operations
Full-stack optimization
We optimize every layer, not just one
Most tools tune a single layer. Axentrai treats the stack as one system, because waste in one layer shows up as cost in all the others.
Let's build the future of efficient AI.
Talk to us about your AI infrastructure, or about partnering with Axentrai in India and the US.