Never pay for tokens again. No data centers needed.
alphaweb runs your own models on Apple Silicon with MLX-powered distributed compute. Simple, private and fast.
15 days free on Personal or Personal Pro. Organization plans available.
One workload. Shared across every machine.
Picture carrying the groceries with ten friends instead of on your own. Everyone takes a bag and you’re home in a minute.
Your Macs work together the same way: one task, split into parts, handled at the same time.
Faster
Work finishes in parallel, not in line.
Cheaper
Hardware you own, not metered tokens.
Private
Nothing leaves your network.
Own the whole stack.
Everything runs on hardware you already own. No metered API, and no bill that grows with every prompt your team writes.
Eliminate token costs
Token spend goes to $0 on MLX. Your team can prompt as much as the work needs.
Own your data
Nothing leaves the building. Prompts, documents and outputs stay on your machines.
Run offline
No connection required. Work continues on a plane, in a vault or behind an air gap.
Apple Silicon optimized
Tuned for the unified memory and Neural Engine in M-series Macs.
Organization knowledge
Models shaped by your SOPs and history, not the open internet.
Enterprise privacy
Local by design. The simplest compliance story is data that never moves.
Bring the open models you already trust.
alphaweb runs the modern open ecosystems on MLX, tuned to your work and served from your own machines.
- LlamaMetaGeneral reasoning
- QwenAlibabaMultilingual
- DeepSeekDeepSeekReasoning
- MistralMistral AISpeed
- MixtralMistral AICapacity
- GemmaGoogleLightweight
- PhiMicrosoftEfficiency
- Yi01.AIBalance
- OpenHermesCommunityAssistants
- DolphinCommunityAdaptable
Train models on how your team actually works.
No specialists required. Hand over your documents and get back a model that speaks your company’s language.
Upload your SOPs
Start with the documents that describe how work actually gets done.
Add internal knowledge
Bring in the wikis, tickets and history your team already relies on.
Get a model that fits
Trained on how your team works, not the open internet.
Works with the tools your team already uses.
Compatible, not bolted on. Keep your workflow and just move the compute home. Point Cursor at a local endpoint, or run OpenClaw agent workflows on your own cluster.
See all connectorsRunning Windows or Linux on NVIDIA GPUs? cudaweb brings the same idea to RTX workstations and DGX systems.