Products

What We Build

We build bold, open-source technology for the AI and HPC era, from a full datacenter you can spin up in software, to the training that grows the engineers who run it, to sensing that guards the ground it stands on. Dreamed up and engineered in Ireland, shared openly with the world.

Cnuas Virtual AI HPC Infrastructure

A complete AI/HPC datacenter, in software. Cnuas is a 100% software-emulated infrastructure, with virtual GPUs, virtual NVLink-equivalent fabric, virtual RoCE and InfiniBand TOR switches and PCIe-attached virtual NICs, running unmodified Linux software stacks inside guests. Most of it also runs directly on the host, with no hypervisor, guest or kernel module.

Anyone with a laptop can stand up a multi-node GPU cluster, exercise the same libibverbs and CUDA-equivalent APIs used in production, and learn or prototype against a real-feeling fabric, without owning a single InfiniBand cable.

  • CnuasGPU, virtual GPU PCIe device with SIMT execution model
  • CnuasLink, GPU-to-GPU peer fabric (NVLink-equivalent)
  • CnuasSwitch, virtual TOR switch, RoCEv2 and InfiniBand multiplexed
  • CnuasNIC, virtual RoCE-IB NIC kernel driver and verbs provider
  • cnuas, unified CLI and REST API to configure and drive the whole system
  • Cnuas Compute, CUDA-equivalent GPU runtime (libcnuasrt.so) with scalar, AVX2 and AVX-512 backends
  • cnuassmi, nvidia-smi-equivalent GPU inventory and telemetry
  • CnuasBLAS v0.1, dense linear algebra (libcnuasblas.so), a cuBLAS equivalent over the runtime kernels
  • In development, the cnuascc compiler, CnuasCCL and CnuasSHMEM collectives, and the CnuasDNN/FFT/SPARSE/SOLVER math libraries
  • Standard Linux Verbs API, so guests use libibverbs unmodified
  • Modelled on Open Compute Project Open Rack v3, the hyperscaler reference design
Explore Cnuas Documentation Datasheets GitHub Repo ↗ White Paper (PDF)
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CnuasGPU with CnuasLink

SIMT virtual GPU and the inter-GPU fabric that connects them. The full NVIDIA-equivalent compute stack, with a CUDA Runtime equivalent (Cnuas Compute) and an nvidia-smi equivalent (cnuassmi) shipping today, and a cnuascc compiler that lowers device source to CnuasIR for the scalar subset, with vector code generation in development.

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CnuasSwitch with CnuasNIC

Top-of-rack switch daemon and PCIe-attached virtual NIC. Handles RoCEv2 over UDP and full InfiniBand including LRH routing, with DCB (PFC, ETS and ECN) modelled end to end.

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Used by HiCAIN

Cnuas is the lab environment for HiCAIN courses, where students run real distributed-training workloads against the emulated fabric, no hardware required.

TORUS Unattended Air-Ground-Visual Sensing

Passive, layered unattended sensing for AI/HPC data center facilities. TORUS is a UAGVIS platform, Unattended Air-Ground-Visual Sensing, for hyperscale, colocation and enterprise AI/HPC data centers. It extends the unattended ground sensor (UGS) model across three domains: seismic and acoustic sensing in the ground, thermal and LiDAR confirmation at eye level, and drone/UAS detection in the air above the facility. Events are classified with AI at the edge and at command, and drive facility response under safety interlock, even where mains power and network are unavailable.

  • TORUS-SN, the ground sensor node, with seismic and acoustic sensing, on-device ML, onboard GPS and MEMS sensors for node tracking, and optimized battery management
  • Node variants, four classes on one event contract (fixed wireless, SDR, wired optical, transducer)
  • TORUS-MEG, cluster-aware field gateway with NVIDIA Jetson Orin edge compute and flexible backhaul
  • TORUS-CCISRT, the command layer, one live common operating picture with a safety-interlocked response
  • AI/ML engine, intelligence at three tiers, with TinyML on the node, Jetson at the gateway and correlation at command
  • TORUS Isaac Sim, a cyber-physical deployment simulator to rehearse scenarios before emplacement
Explore TORUS GitHub Repo ↗

Datasheets & documentation

TORUS
Unattended Air-Ground-Visual Sensing
UAGVIS Ground Visual Drone/UAS Edge AI TIA-942 / OCP Off-grid
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Layered & passive

Air, ground and visual detection correlated into a classified track with location and confidence, sensing that emits nothing to find.

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Off-grid & unattended

Battery and solar operation, long-range radio, months between visits, auditable by design, with every detection and command timestamped and logged.

HiCAIN
Academic Courses & Training Programme
Education CUDA ROCm RDMA OFED MPI

HiCAIN Academic Courses & Training Programme

High-performance Computing, AI and Networking, PacketFive's open-source training programme for the full AI/HPC software stack. Delivered through the HiCAIN Academy learning platform, HiCAIN gives students, engineers and practitioners the deep technical skills modern AI clusters demand.

  • Structured courses on CUDA, ROCm, RDMA, RoCE, OFED, Open MPI and InfiniBand
  • HiCAIN Academy, a full LMS with progress tracking and certificates of completion
  • Practical labs designed around the Cnuas Virtual AI HPC Infrastructure (no expensive hardware needed)
  • Instructor and self-paced learning tracks
  • Google SSO, JWT auth, and email verification built-in
  • Open-source content and platform under permissive licences
HiCAIN.io ↗ HiCAIN Academy ↗

Open Source Commitment

All PacketFive R&D output, including code, training material, papers and reference implementations, is published on GitHub under permissive open-source licences.

PacketFive on GitHub ↗