From a memory-dense simulation node to a sixteen-GPU rack-scale AI cluster - core-led for HPC, accelerator-led for AI, or balanced for both. Sized by one rules engine and delivered installed, with power, networking, management and export compliance engineered in.

13 pre-engineered models, calculated by the same rules engine used by the configurator. Pricing is supplied by formal quotation.
Your first serious AI development node
Serving density: four accelerators, one quiet node
One very large VRAM pool for very large models
Workstation-class AI power in a single server
Maximum acceleration, one node
Memory- and core-dense compute in one node
The controls house engineering server
Robotics, monitoring and production intelligence on the plant network
Core-dense HPC with an RDMA interconnect
A departmental HPC facility in one rack
The workgroup AI cluster that grows with the team
Departmental HPC with a dedicated storage fabric
The flagship: maximum Hyperion, fully provisioned
Your first serious AI development node
AxiFoundry is the entry point to the Hyperion range: a single 4U EPYC node with a professional Blackwell GPU, 384 GB of 12-channel DDR5 and enterprise remote management. It runs the same platform, BIOS discipline and management stack as the largest Hyperion cluster, so everything you build on AxiFoundry scales up without rework.
For: Individual developers, research students and proof-of-concept teams
An automation toolchain is a mixed workload wearing one badge: compilers and static analysis want cores, virtual PLC runtimes want deterministic scheduling headroom, and a code-assistant LLM wants VRAM. AxiFoundry answers all three at entry price - 96 Zen 5 cores keep whole-project builds and validation sweeps parallel rather than queued, 384 GB across all twelve DDR5-6400 channels holds several machine models and container stacks resident at once, and the 24 GB RTX PRO 4000 serves a structured-text assistant at 140 W, quiet enough for the office end of the plant. Because it is the same SP5 platform as every larger Hyperion, the rig you validate on is the rig you scale.
Early-stage computational biology fails on memory before it fails on FLOPS: alignment indices, k-mer tables and structure-prediction intermediates are large, irregular and latency-sensitive. Populating all twelve memory channels - deliberately, at 384 GB - gives AxiFoundry the full ~614 GB/s of DDR5-6400 bandwidth that eight-DIMM workstations quietly give up, so sequence pipelines and protein-structure trials run at the platform’s real speed. Data stays on the lab’s own Gen5 NVMe, inside the lab’s own walls - the ethics submission writes itself.
Method development is where solver licences and engineer hours are burned, so the economics favour a machine that behaves exactly like production. AxiFoundry is node one of the Hyperion architecture in miniature: identical EPYC microarchitecture, identical NUMA topology, identical Gen5 I/O path. Mesh-sensitivity studies, solver benchmarking and scripting validated here transfer to a AxiVector or AxiLattice cluster without re-tuning - the cheapest performance engineering you will ever buy.
CUDA kernels, serving stacks and agent frameworks behave differently on server silicon than on a desktop card - different PCIe topology, different memory pressure, different thermals under sustained load. AxiFoundry gives a software team production-class Blackwell architecture and 128 lanes of Gen5 to develop against, so profiling done at the desk holds in the rack. What ships to the customer’s Hyperion cluster was built, tested and load-profiled on Hyperion silicon.
Expandable to 2 nodes / 4 GPUs (96 GB VRAM) with infrastructure reserved from day one.




Research, laboratory and production compute across the sectors we serve - and the standard systems each one should look at first.
Memory-bound assembly and variant pipelines in research and sequencing-core production, with imaging AI beside the instrument.
Research computing inside the hospital network and clinical AI assistants that keep patient data on site.
From discovery model development to validated production pipelines over confidential compound and trial data.
CFD, FEA and design-of-experiments in production, with surrogate-model AI trained from your own simulation output.
Sovereign AI behind your firewall: serving fleets, large-model tiers and organisation-scale platforms with hybrid cloud gateways.
Build farms, CI matrices and developer AI on production-class silicon: compile in minutes, test in containers, and serve code assistants from your own rack.
The controls engineering estate: PLC and motion software development with automated validation, virtual commissioning and digital-twin machine simulation, and an LLM assistant that never sees the outside of the plant network.
Factory management systems with AI in production: line monitoring and vision inspection, predictive maintenance over machine telemetry, and production analytics the operations team can act on shift by shift.
Perception for machines that move: vision-inspection and pick-point models trained on your own parts, robot-cell simulation before deployment, and serving at the latency a moving line demands - all beside the cells themselves.
The quantitative workstation grown into a server: MATLAB, R, Julia and Python at 96-128 cores, whole datasets held in memory, Monte Carlo and optimisation runs that finish over lunch instead of overnight - on your own hardware, at a fixed cost.
Every model shares the same 4U EPYC + Blackwell platform - start small, scale to sixteen GPUs without rework.
Rack, UPS, PDU, cooling headroom and cabling are sized by the rules engine and delivered as one certified build.
Buy now versus reserved-for-expansion is explicit on every estimate and verified quote - growth is a purchase order, not a redesign.
UK export control, customs and conformity checks run on every configuration before a quote is released.
Start from a standard system or build custom - every option validated live.
Rack, power, cooling, networking and export compliance resolved by the engine.
A customer-ready pack: pricing, elevations, topology and compliance data.
Installed and integrated, with Hyperion Command and the Remote Service Link.
The configurator validates every combination live - compute, storage, networking, KVM, power and compliance - and prepares a validated formal quotation request.
Open the configurator