tomnewton-mulga
43fa6eae59
* feat: add GPU fields to NodeStatus and spx top nodes (mulga-996) - Add TotalGPUs/AllocGPUs to NodeStatusResponse (zero on non-GPU nodes) - Populate from gpuManager in handleNodeStatus - Show GPU (used/total) column in spx top nodes; "-" when no GPUs present * Fixed GPU passthrough and added test script * feat: always-probe GPU at startup, surface capability in NodeStatusResponse - Add gpuProbeResult struct and probeGPU() which runs at daemon startup regardless of gpu_passthrough config. Checks sysfs for GPUs, IOMMU groups, and vfio_pci module presence. - Store gpuProbe on Daemon struct; split NewDaemon into probe (always) and activate (opt-in) phases. - Populate GPUCapable, GPUPassthrough, GPUModels on NodeStatusResponse so operators can see hardware state before enabling passthrough. - Update 'spx top' GPU column: '-' = no hardware, '0/N*' = capable but passthrough not active, 'used/total' = passthrough active. * feat: SIGHUP hot-reload for GPU passthrough config (mulga-1001) - Export GenerateGPUTypes for use by the reload path - Add ResourceManager.reloadGPUTypes: mutates instanceTypes map in-place (preserves references held by instanceService) and updates NATS subscriptions without full daemon restart - Separate SIGHUP from SIGTERM/SIGINT: setupReload() listens for SIGHUP in a context-aware loop; setupShutdown no longer intercepts SIGHUP - Add reloadConfig() + applyGPUConfig(): re-reads spinifex.toml on signal, handles false→true (re-probe + activate) and true→false (refuse if instances running, otherwise deactivate) transitions * installer grub image fixes * made gpu-passthrough more user facing * vpcd fixes to set br-wan to promisc for public IP DHCP processes * fixed vpcd br-wan promisc and veth pair * ssh keygen fix * Fix: AMD GPU edge cases * script for running 8x instances on SMCI computer * fix: increase disk space on instances * feat: multi-GPU passthrough support for g7e.12xlarge (2× MI350X) - vm.VM: GPUPCIAddress string → GPUPCIAddresses []string for multi-GPU - instancetypes: add g7e.12xlarge (2 GPUs), GPUCountForType(), AMDmi350x model - instancetypes/generate: use GPUCountForType for GpuInfo.Count and TotalGpuMemoryInMiB - gpu/manager: Release() loops all pool entries for instanceID (not just first) - vm/lifecycle: loop over GPUPCIAddresses, emit gpu0/gpu1/... QEMU devices - daemon/handlers: claim N GPUs in loop for both RunInstances and StartStoppedInstance - daemon/vm_adapters: ReclaimByAddress loops GPUPCIAddresses; ReleaseGPU checks len > 0 - scripts/launch-gpu-fleet: fixed fleet — 6× g7e.4xlarge + 1× g7e.12xlarge * feat: per-instance-type disk size in GPU fleet (300 GB single, 600 GB dual) * fix: multi-gpu instance types * fix: kill QEMU synchronously when QMP handshake fails to free VFIO device When startQEMU succeeds but newQMPClientWithHandshake times out, the instance has not yet been inserted into the manager map so vmMgr.Delete in the rollback path is a no-op. QEMU keeps running and holds the VFIO group open. The GPU pool entry gets freed, the next Claim returns the same PCI address, and every subsequent QEMU fails with 'device or resource busy'. Fix: SIGKILL QEMU and wait for it to exit before returning the QMP error, ensuring the VFIO device is released before the caller recycles the GPU pool slot. * fix: quarantine GPU after QEMU launch failure to prevent re-assignment cascade When QEMU crashes during startup (e.g. pci_irq_handler assertion on a specific GPU), the pool Release frees that address and the next NATS request immediately re-claims the same broken device. Add MarkFailed() to gpu.Manager which sets Available=false for a PCI address after a launch failure, preventing re-assignment until the daemon restarts. Call MarkFailed for each GPU address in both RunInstances and StartStoppedInstance rollback paths after the Release succeeds. * fixed instance fleet launch script * remove known hosts and stagger provisioning * improvements to launch script * more upgrades * single instance gpu instance provisioning * fixed single instance provision * smci computer demo dashboard * fixes to launch script * updated smci dashboard_server * fixed demo dashboard * updated dashboard.py * feat: GPU Passthrough fixes to passthrough process - builds proper AMD or NVIDA ready images, generalised launch script * feat: gpu-passthrough updating image builder to include gpu-ready ubuntu images * fixing image builder process * fixed image builder to remove /tmp/ file before import to free space * fix: Updated COMMANDS.md to reflect new GPU management admin commands * Update docs, update internal launch script to work with new SGs, test tweaks * Updated Docs, fixed internal launch-gpu.sh script, test tweaks * fxing CI race due to GPU load
What is Spinifex? · Platform · Components · Architecture · Installation · Docs
Spinifex: An Open Source AWS-Compatible Stack for Bare-Metal, Edge, and On-Prem Deployments
Spinifex developed by Mulga Defense Corporation is an open source infrastructure platform that brings the core services of AWS—like EC2, VPC, EBS, and S3—to environments where running in the cloud isn't an option. Whether you're deploying to edge sites, private data-centers, or need to operate in low-connectivity or highly contested environments, Spinifex gives you AWS-style workflows on your own hardware.
What is Spinifex?
Spinifex replicates essential AWS primitives—virtual machines, block volumes, and object storage—using lightweight, self-contained components that are easy to deploy and integrate.
It's designed for developers and operators who need:
- Cloud-like infrastructure without the cloud
- Minimal dependencies, full control
- Drop-in compatibility with tools like the AWS CLI, SDKs, and Terraform
- A secure cloud environment you control and own the entire hardware, network and software stack
You can run Spinifex on a few servers in a rack, a field site, or anywhere centralized cloud services aren't feasible.
The Platform
From commodity hardware up to unmodified AWS tooling, every layer is replaceable and yours to own.
Core Components
Spinifex (Compute Service – EC2 Alternative)
Spinifex is a minimal VM orchestration layer built on top of QEMU, exposing APIs similar to EC2. It manages lifecycle operations like start, stop, and terminate, using QEMU's QMP interface. Designed to be straightforward and scriptable, Spinifex lets you launch VMs using the AWS CLI, SDKs, or Terraform—without needing Kubernetes or heavyweight orchestrators. Keep in mind, you can also setup a Kubernetes environment using Spinifex with underlying instances.
- EC2-like VM management on bare metal
- Launches with cloud-init metadata support
- Works with standard AWS tooling
Viperblock (Block Storage – EBS Alternative)
Viperblock is a high-performance, WAL-backed block storage service that replicates volumes across multiple nodes. It's built for reliability and speed, with support for snapshots, recovery, and direct connection to QEMU instances using NBD or virtio-blk.
- Fast, durable virtual disks
- Replication for resilience
- Exposed over NBD or embedded in VMs
- Supports high performance WAL logs using local NVMe drives to reduce IO traffic to S3.
- In memory read/write block cache for blazing performance.
Predastore (Object Storage – S3-Compatible)
Predastore is a fully S3-compatible object storage system. It supports the AWS S3 API, including Signature V4 authentication, multipart uploads, and Terraform provisioning. Data is chunked and distributed across nodes using Reed-Solomon erasure coding, making it fault-tolerant and ideal for large-scale or low-bandwidth scenarios.
- S3-compatible API and auth
- Multipart uploads, streaming reads/writes
- Data redundancy with Reed-Solomon encoding
Architecture at a Glance
Every AWS API call is authenticated at the gateway, published to a NATS subject, and answered by whichever daemon claims it. Daemons are stateless — scale horizontally by starting more. No etcd, no Kubernetes, no external control plane. Deep dive: docs/DESIGN.md.
Key Features
AWS-Compatible Interfaces – Provision infrastructure with awscli, Terraform, or SDKs you already use.
- Designed for Control – Run on your own terms, whether that's in a datacenter, remote site, or sensitive environment.
- Minimal Dependencies – Each service is standalone and avoids complex orchestration layers.
- Works Offline – No reliance on centralized cloud services or external networks.
- Open Source – Licensed under AGPL 3.0. Fork it, extend it, or deploy it as-is.
Installation
Installation requires an Ubuntu / Debian system. See the detailed documentation at docs.mulgadc.com for maintaining and installing Spinifex.
Bare Metal ISO
The recommended installation is a bootable x86 installer for bare-metal hardware.
curl -fLO https://iso.mulgadc.com/spinifex.iso
Follow the USB install guide to write the ISO to USB and install on your hardware. The install guide walks through the full process.
Single Node Install
The installation is straightforward to set up and running on a single node for testing purposes. Debian 13 is currently supported, additional Linux distributions are on the immediate roadmap.
Prerequisite: Linux bridge for networking.
Spinifex requires a Linux bridge configured on the host for VM networking. See the single-node install guide prerequisites for setup details.
curl -fsSL https://install.mulgadc.com | bash
sudo /usr/local/share/spinifex/setup-ovn.sh --management
sudo spx admin init --node node1 --nodes 1
sudo systemctl start spinifex.target
export AWS_PROFILE=spinifex
aws ec2 describe-instance-types
Development Setup
For a complete development environment see the Source Install documentation
Component Repositories
Spinifex coordinates these independent components:
- Predastore - S3-compatible object storage
- Viperblock - EBS-compatible block storage
Each component can be developed independently. See component-specific documentation for focused development guides.
Spinifex UI
Spinifex ships with a built-in web console — an optional alternative to the AWS CLI, SDKs, and Terraform. If you're familiar with the AWS Management Console, the Spinifex UI fills the same role: a browser-based view of your instances, volumes, buckets, VPCs, and IAM resources, without leaving your own network.
The console is served by each node on port 3000 over TLS, and becomes available as soon as spinifex.target is up:
open https://YOUR_NODE_IP:3000
- Same API, different surface. Every action in the UI is the same AWS SigV4 call the CLI makes — so RBAC, audit trails, and IAM policies apply uniformly.
- Single sign-on against your AWS credentials. Log in with the access keys from
~/.aws/credentialson the node where Spinifex is installed — no separate user database. - Self-hosted, works offline. The UI is embedded in the Spinifex binary and served from the node itself. No external CDN, no analytics calls, no cloud dependency.
For the full walkthrough — first-time TLS certificate trust, login, and feature tour — see Launching the Web UI in the cluster setup guide.
Development Philosophy
Built by Engineers, For Engineers
Spinifex is developed by experienced infrastructure engineers with deep AWS expertise, including former AWS team members who understand the intricacies of building production-grade cloud services. Our team brings decades of combined experience from AWS, enterprise infrastructure, and edge computing environments.
Real-World Experience:
- Production AWS service development and operations
- Large-scale infrastructure deployment and management
- Edge computing and resource-constrained environments
- Enterprise security and compliance requirements
AI-Assisted Development
While Spinifex is architected and implemented by experienced engineers, we leverage Claude Code (Anthropic's AI coding assistant) to accelerate certain development tasks. This approach combines human expertise with AI efficiency:
How We Use Claude Code:
- Code Generation: Boilerplate AWS API structures and handlers
- Documentation: Comprehensive development guides and API documentation
- Testing: Test case generation and validation scenarios
- Refactoring: Large-scale code restructuring and optimization
What Remains Human-Driven:
- Architecture Decisions: Core system design and scalability choices
- Security Implementation: Authentication, encryption, and threat modeling
- Performance Optimization: Real-world performance tuning and benchmarking
- Production Operations: Deployment strategies and operational procedures
This hybrid approach ensures Spinifex benefits from both proven engineering expertise and modern development acceleration, while maintaining the quality and reliability standards required for production infrastructure.
License
Spinifex is open source under the GNU Affero General Public License v3.0. You're free to use, modify, and deploy it anywhere you need reliable infrastructure without depending on centralized cloud platforms.