🚀 Open Source · Education · Infrastructure

High-performance Computing,
AI & Networking

A project of start-up PacketFive (Packet Five Networks Limited), HiCAIN delivers open-source training, tools, and compatibility resources for the full AI/HPC software stack — from NVIDIA CUDA and AMD ROCm to OFED, OpenMPI, RDMA, RoCE, and InfiniBand.

📚 Explore HiCAIN LMS ⚡ SuperCompat → ⭐ GitHub
5+Technology Stacks
100%Open Source
2Active Projects
CUDA ROCm / HIP InfiniBand RDMA / RoCE OFED Open MPI DOCA UCX

Why HiCAIN?

The AI/HPC landscape has evolved rapidly — but deploying and operating these stacks still requires deep, hard-to-find expertise spanning GPU drivers, high-speed fabric, MPI runtimes, and distributed systems.

HiCAIN bridges that gap with structured learning paths, open-source tools, and community-driven knowledge around the technologies that power the world's fastest computers.

Learn about the mission →
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Education

MOOC-style courses on CUDA programming, RDMA, InfiniBand fabric, and distributed AI training — via HiCAIN LMS.

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Tooling

SuperCompat and future tools that solve real cluster operations problems — compatibility, provisioning, observability.

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Community

Open-source, GitHub-first. Everyone from HPC newcomers to cluster architects welcome.

Projects

Open-source tools and platforms built by HiCAIN

🆕 In Development
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HiCAIN LMS

A fully open-source GNU licensed MOOC platform built for AI/HPC education. Courses, video lessons, quizzes, progress tracking, and certificates — focused on CUDA, ROCm, InfiniBand, RDMA, and the full HPC stack.

MOOCOpen SourceReactFastAPI
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✅ Live
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SuperCompat

Supercomputing Compatibility Listings — structured, queryable compatibility matrices for CUDA, ROCm, OFED, Open MPI, and hardware platforms. Prevents version-mismatch failures before they happen.

CUDAROCmOFEDOpen MPI
Open SuperCompat →
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Covered Technologies

Deep dives, compatibility data, and courses on the full AI/HPC stack

NVIDIA CUDA

GPU compute, driver compatibility, Tensor Cores, cuDNN, NCCL, and the CUDA toolkit version matrix.

AMD ROCm / HIP

CDNA architecture, HIP porting, ROCm stack compatibility, MI300/MI250 platforms.

InfiniBand

IB fabric architecture, HDR/NDR speeds, IB verbs programming, subnet managers, and fat-tree topologies.

RDMA & RoCE

Remote Direct Memory Access, RDMA over Converged Ethernet (RoCEv1/v2), GPUDirect RDMA, lossless fabric configuration.

OFED / MLNX_OFED

OpenFabrics stack, kernel module compatibility, OFED version matrix, verbs libraries.

Open MPI

GPU-aware MPI, UCX transport, OFED integration, collective algorithms, and distributed training patterns.

NVIDIA DOCA

Data-Path Acceleration, BlueField DPU programming, DOCA services, network offload, and SmartNIC applications.

UCX

Unified Communication X, transport selection, GPU memory handles, and tuning for HPC workloads.

Ready to level up your AI/HPC stack knowledge?

HiCAIN LMS is coming — star the repo and get notified when early access opens.

⭐ Star on GitHub Join the community