Axiom-X - Enterprise AI, Delivered with Speed, Control, and Efficiency
From copilots to search to real-time decision making, organizations need predictable latency, economical scale, and the freedom to deploy on their own terms. Axiom-X is built for that reality
Why Axiom-X
Modern AI inference infrastructure is shaped by multiple interacting constraints rather than a single limiting factor. Performance depends on the balance between compute capability, memory bandwidth, and interconnect throughput. When one of these elements lags behind, overall system efficiency drops — even if the other components are highly capable. As AI workloads scale and become more distributed, maintaining this balance becomes increasingly critical.
Addressing these challenges requires a system-level perspective on AI infrastructure design. Instead of optimizing individual components in isolation, modern architectures increasingly focus on coordination between compute resources, memory subsystems, and network fabrics. By aligning these elements, it becomes possible to support higher throughput, improve resource utilization, and enable scalable deployment of AI workloads across diverse environments.
Your AI. Your Data. Your Infrastructure.
Building the future of AI on sovereignty, domesticity, and enterprise strength
Deploy entirely on-premises
Inside your data centre, under your governance
Open standards architecture
Leveraging Ultra Ethernet, RISC-V cores, and other open standards to ensure broad ecosystem compatibility and easy integration with existing infrastructure.
Data sovereignty guaranteed
No model weights or traffic leave your environment.
Future-proof
No lock-in to proprietary ecosystems or vendor roadmaps
Inference at Scale, Without Compromise
Inference isn’t “one model, one server”—it’s always-on, multi-step services under tight latency and cost constraints. Axiom-X is designed to deliver the properties on these metrics that matter most in production
Predictable QoS (Consistency at Scale)
Not all inference is equal—SLA matters. Axiom-X is built to deliver stable tail latency and consistent throughput under bursty, multi-user traffic.
Memory-bandwidth optimized (Feeds the model, not the bottleneck)
Built for memory-hungry models, with high bandwidth and efficient data movement to keep pipelines fed and token throughput high.
Ultra scalable
Designed for spiky, multi-tenant services like LLM APIs and recommendation systems—scales from single-node installs to large fleets
Cost efficient
Lowers cost per inference by maximizing useful work and minimizing wasted cycles across real production patterns.
Power efficient
Performance per watt is the new benchmark—power-aware design reduces operating costs and carbon footprint without sacrificing throughput.
Scalable Architecture
Right-sized for every deployment — R&D lab to hyperscale data centre
AXIOM-XG — Low-Cost Inference Platform
- PCIe cards and servers for AI inference acceleration
- Compatible with third-party servers
- Serving small R&D centres and offline processing
AXIOM-XS — Ultra-Fast Inference at Scale
- Disaggregated LLM inference platform
- Accelerators with GDDR memory for attention KV cache management
- Chip with ultra-fast memory for feed-forward layers
- ~10x single-user performance
- ~10× reduction in token price at scale
- Complements existing GPU deployments, extending LLM inference capacity without replacing current infrastructure
Next-AI Symphony — Orchestration Platform
Full-system orchestration
manages compute, networking, memory and routing as a unified system
OpenAI-compatible API
Drop-in replacement, zero application changes
Disaggregated serving
Splits LLM sub-graphs across hardware for peak throughput
Dynamic load balancing
Maximises utilisation across heterogeneous nodes
Multi-vendor scheduling
Evollabs + third-party GPUs in a single cluster
Built-in observability
Per-request latency, throughput & cost tracking
KV Cache management
Routes intelligently between GPU and host memory tiers
Ready to Transform Your AI?
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Contact
Evollabs Tech FZ-LLC DIC-Bldg. 05-118, Dubai Internet City United Arab Emirates
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