TAHO doubles compute performance—without extra hardware or energy waste.

TAHO is next-generation infrastructure software for AI, Cloud, and High-Performance Computing (HPC). It doubles throughput without extra hardware, containers, or complexity by introducing an execution layer to run alongside your existing stack.

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Scaling is broken. TAHO rewrites the rules.

AI, Cloud, and HPC workloads are pushing infrastructure to its limits. Costs are rising. Hardware is scarce. Power is constrained.

TAHO rethinks compute efficiency by deploying instantly, doubling throughput, and optimizing resource use without adding hardware.

TAHO artifact management system comparison: Before implementation shows basic server infrastructure with limited artifact storage capacity; after TAHO implementation demonstrates optimized multi-tier artifact distribution architecture with improved storage efficiency and scalability. TAHO transforms traditional server setups into advanced artifact management solutions.

Infrastructure costs are rising. TAHO turns that trend around.

AI and HPC demands are outpacing what hardware alone can deliver. Energy costs are rising. Water usage is under scrutiny. Teams are under pressure to scale smarter.

TAHO was built for this moment. Its orchestration cuts cost, conserves energy, and protects the planet by reducing infrastructure waste.

Cold start in milliseconds

TAHO achieves operational readiness in milliseconds by eliminating the long boot times and cold starts of traditional infrastructure.
Stylized rocket or spacecraft illustration emitting speed waves, representing TAHO's millisecond cold start capability compared to traditional systems that take minutes to boot.

Optimized for high-performance workloads

TAHO cuts infrastructure waste for AI, Cloud, and HPC workloads—removing container overhead and orchestration drag to unlock more performance from less.
Neural network T-junction diagram with colorful nodes showing TAHO's AI optimization system for reduced training costs and accelerated inference performance without additional infrastructure.

High-efficiency distributed processing

TAHO distributes workloads intelligently across environments to reduce GPU waste, eliminate bottlenecks, and pack more performance into every node.
Illustration showing data transformation from orange/yellow processing nodes to organized blue nodes, representing TAHO's high-efficiency parallel processing that optimizes AI workloads across multiple compute resources and eliminates bottlenecks.

Automated deployment

TAHO deploys and optimizes itself. No containers, no scripts, no setup. Just run your code and it scales from there.
Robotic arm automation illustration with yellow gripper representing TAHO's self-deploying and self-optimizing system that requires no manual intervention for deployment and management.
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TAHO = Trusted Autonomous Hybrid Operations

It’s more than a name. It’s how we rethink infrastructure: trusted, autonomous, hybrid, and built for real-world operations.

Trusted

TAHO is built to run when others fail. It’s resilient, secure, and deeply observable, with decentralized real-time messaging and zero-trust architecture designed for modern, high-security environments.

Autonomous

TAHO configures, deploys, and adapts itself in real time—continuously optimizing workloads across environments, without manual tuning.

Hybrid

TAHO runs anywhere—cloud, on-prem, and edge—with no lock-in and no infrastructure rewrites. It integrates cleanly with your stack and supports any modern runtime.

Operations

TAHO is engineered for efficient computing at scale, purpose-built to handle complex, resource-intensive workloads where other systems choke.

Why TAHO redefines efficient compute

Faster Deployments

Traditional orchestration layers add setup and delay. TAHO skips the wait. Run workloads directly, with sub-second execution and no containers required.

Optimized for AI, Cloud, and HPC

TAHO gets more from the infrastructure you already have. It delivers faster execution, higher throughput, and less waste across AI, Cloud, and HPC workloads.

Be among the first to unlock a performance edge without buying more hardware.

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TAHO insights: Real-time proof of performance

TAHO delivers measurable impact—track throughput, efficiency, and savings with real-time performance visibility.

Live metrics

Monitor workload performance as it happens. No guesswork, just results.

Smarter resource use

Pinpoint underutilized computing hardware and eliminate inefficiencies automatically.

Cost & energy wins

See exactly how much you’re saving in dollars and watts.

Interactive Insights Demo

Join the Early Access Program

Get hands-on support, launch partner pricing, and TAHO’s performance edge before the competition.

Spots are limited. Apply by [date] to secure priority access.

You're In—Next Steps Coming Soon!

Congratulations! We’ve received your application for early access to TAHO. Our team is reviewing submissions and will be in touch soon with next steps.

We’re excited to have you on this journey to redefine AI efficiency!
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Is TAHO a fit for your stack?

TAHO is built for teams pushing infrastructure to the edge—where scale, speed, and smarter execution unlock bigger results.

Best for:

High-throughput, always-on compute
AI training and inference across multi-threaded workloads, LLMs, and simulation pipelines
Infra leaders driving scale, speed, and performance
Teams deploying across hybrid environments (cloud, edge, on-prem)

Not ideal for:

Lightweight or bursty web workloads
Traditional apps without sustained compute demand
Teams focused solely on APIs or frontend services

Inside the tech

For architects, engineers, and infrastructure leaders who want to know what makes TAHO different.

Multi-Runtime Execution

TAHO supports Wasm, CUDA, and native binaries—enabling true polyglot development across modern AI stacks. It’s not just containers or VMs. TAHO runs code in the format best suited to the job.

Sub-Millisecond Startup

TAHO’s Wasm-based execution model boots workloads in milliseconds—no warm-up delays, no orchestration drag. Cold start pain? Gone.

Sparse Model & MoE Optimization

TAHO natively supports Mixture-of-Experts (MoE) and other sparse inference models—routing only the FLOPs (floating point operations) needed per request. Smarter compute, lower energy, faster inference.

CUDA/NCCL-Aware Scheduling

TAHO orchestrates GPU tasks with native CUDA-aware routing and NCCL coordination—reducing waste and keeping utilization high. No more idle cores or half-loaded GPUs.

FLOPs-Efficient Inference

TAHO is optimized for inference—not just orchestration—minimizing cost per operation while maximizing workload density. More output per watt, per dollar, per chip.

Hybrid Architecture Compatibility

TAHO works alongside Kubernetes and container-based stacks—layering Wasm-based workloads with traditional microservices. Build hybrid architectures that run faster without disrupting what already works.

Technical Comparison: TAHO vs. Kubernetes-Based Container Stacks

Feature
Kubernetes & Container
TAHO
Execution Model
Containers
Wasm, CUDA, Native
Startup Latency
Seconds
Milliseconds
Federation
Add-ons or manual setup
Native mesh routing
Edge Compatibility
Requires effort
Native support
Developer Experience
YAML-heavy
CLI-first, polyglot
Observability
Manual integration
Built-in telemetry

Technical Comparison: TAHO vs. Kubernetes-Based Container Stacks

Kubernetes & Container
TAHO
Execution Model
Containers
Wasm, CUDA, Native
Startup Latency
Seconds
Milliseconds
Federation
Add-ons or manual setup
Native mesh routing
Edge Compatibility
Requires effort
Native support
Developer Experience
YAML-heavy
CLI-first, polyglot
Observability
Manual integration
Built-in telemetry

Ready to go deeper?

We’ll send the TAHO Technical Brief straight to your inbox—complete with architecture details, feature comparisons, and integration guidance.

Our mission

Our mission is to make computing radically more efficient—because we’ve lived the problem firsthand. TAHO is the infrastructure we always needed: built to scale smarter, waste less, and unlock the full potential of AI, Cloud, and HPC.

Meet the team

TAHO is built by pioneers in AI, Cloud, and High-Performance Computing—driving the future of hardware computing efficiency.

Todd Smith

Co-founder & CEO

Todd has built and scaled global engineering teams—from startup to enterprise. His leadership powers TAHO’s mission to unlock more compute for more people.

Justin Gelinas

Co-founder & CXO

Justin shapes the product experience behind TAHO, where design, usability, and emerging technology meet to make breakthrough infrastructure accessible.

Michal Ashby

Co-founder & CTO

Michal drives the technical architecture of TAHO, applying rare depth across distributed systems, runtimes, and infrastructure to rethink what’s possible at scale.

Daniel Henning

Principal Engineer

Daniel builds interfaces and systems that scale together. His engineering work spans from UI to infrastructure—powering the user experience inside TAHO.

Tyson Midboe

Executive Architect

Tyson architects the distributed backend that powers TAHO’s speed and efficiency. His work in serverless and large-scale orchestration helps TAHO run lean, fast, and everywhere.

Michael Dodge

Staff Platform Engineer

Michael brings platform engineering depth to TAHO’s core systems. He helped launch Facebook’s client platform team and now builds infrastructure that runs smarter and faster.

Unlocking the Full Potential of AI, Cloud, and HPC.

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