ABOUT // HOONIFY TECHNOLOGIES INC.
Built compute that can't fail. Now pushing it past its limits for AI.
We ship compute for workloads where the wrong answer is worse than no answer — national labs, AI training systems, mission-critical infrastructure. Now we run the inference rails for open-source models, on the same reliability bar.
THE THROUGHLINE
Different workload, same engineering.
We ship compute for workloads that can't fail — national-lab simulations, weapons stockpile certification, high-energy physics, climate modeling, drug discovery. Verification and validation are a core part of how we operate.
Through the Hoonify marketplace, users find capacity while operators automate offtake.
Same engineering. New stakes. Pushing further every cycle.
MARKETS
Where compute can't fail quietly.
The operating environments that define our reliability bar.
Aerospace & Defense
Stockpile stewardship simulations, hypersonics CFD, mission-systems autonomy. Where reliability is measured in what doesn't go wrong.
Energy
Reservoir modeling, grid balancing, fusion R&D. Long-running campaigns where checkpointing and fault tolerance aren't optional.
Life sciences
Cryo-EM reconstruction, protein-language models, radioisotope production scheduling. Tight SLAs measured in patients waiting.
AI service operators
NeoCloud operators standing up token-billed services on their own GPUs, without rebuilding the platform layer themselves.
PRODUCT
Three things, one stack.
TURBOS®
The platform under everything.
Bare-metal provisioning, scheduling, billing, and the customer portal. Months of integration work compressed to about an hour. Same code path runs national-lab clusters and inference operators.
HOONIFY MARKETPLACE
Demand on top of TurbOS.
OpenAI-compatible inference, pooled across every TurbOS-running operator. Customers see one rate sheet; operators get qualified traffic; nobody compares operator names.
TURBOS DASH + CUB
Tools for the operator side.
Dash for non-HPC platform teams to land and launch workloads; Cub for desktop-class supercomputing. Both share the TurbOS scheduler so workloads move between them without rewrites.
GET STARTED
Same engineering. Open-source first.
Bare-metal under the hood. Open-source API in front.
- Same SLA philosophy, new compute substrate
- Real prices, real terms, no surge pricing
- Operators stay anonymous to your customers
- Frontier-quality inference on open weights