Engineers...

Kubernetes is complex it makes your infra costly and slow

Containers, pods, and clusters slow down modern hardware. Money gets wasted while your team waits

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the solution?

TAHO unlocks compute you already have

TAHO removes the overhead that slows you down and turns your existing stack into a high-performance system.

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The performance layer your infrastructure has been missing

Cold start in microseconds

Boot workloads instantly. No warmup delays, no wasted compute cycles.

Use the stack you already have

No rewrites. No migrations. No conflicts between development teams. Just more performance from day one.

Runs anywhere

TAHO eliminates the line between cloud and on-prem. Deploy anywhere: cloud, edge, or bare metal. It's true hybrid. One, the other, or both

Built for high-throughput workloads

Ultra low latency and real time decision making, optimized for AI inferences and training models, as well as any other high compute needs.

Run multiple versions concurrently

Built in rollback and failover. No containers. Optimized orchestration.

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Why teams are replacing Kubernetes with TAHO

Built for modern AI, edge, and high-throughput systems, without the orchestration baggage.

Next-gen infra software
Legacy orchestration platform
Startup Time
Microseconds
Seconds to minutes
Setup Complexity
Low (No containers/scripts)
High (YAML, Helm, etc.)
Efficiency
Optimized GPU usage
Often inefficient
Deployment Options
Runs on cloud, on-prem, and edge
Primarily cloud-based
Ease of Use
Gentle
Complex
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Built for teams shipping big workloads at scale

Smarter Workload Distribution

Automatically spread work across all your hardware. Turn underused hardware into high-performance infrastructure.

Instant Startup & Fast Inference

Launch massive AI models in microseconds, not minutes. Slash cold starts and speed up inference dramatically.

Plays Nice With Everything

Run TAHO alongside your current infrastructure with no need to rip and replace. Get started fast.

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FAQs

What exactly is TAHO?

TAHO is a high-performance compute framework that delivers 2× more workload efficiency, meaning you get double the output from the same hardware. It replaces bloated infrastructure software and complex runtimes with a faster, cheaper, and easier to deploy across edge, cloud, and GPU environments.

How is TAHO different from Kubernetes or serverless runtimes?

TAHO isn’t another orchestrator. It’s a high-efficiency compute layer purpose-built for HPC, AI/ML, and always-on workloads. No cold starts, no YAML forests, and no orchestration sprawl. Just faster execution, simpler scaling, and less overhead.

Can I deploy TAHO without rewriting everything?

Yes. TAHO runs on top of your existing infrastructure. No rewrites needed. It supports containers, Kubernetes, CI/CD, and works with modern dev tools out of the box.

Is TAHO Secure?

Yes. TAHO is secure by design. It uses sandboxed execution via WebAssembly, runtime isolation, and a zero-trust architecture to minimize attack surfaces. It supports DDS for secure, real-time communication and integrates libp2p for encrypted, peer-to-peer networking in federated environments. All data in transit is encrypted by default, ensuring secure operations across edge, cloud, and hybrid systems.

Who is TAHO best for?

TAHO is best for high-throughput, always-on compute. It’s used in AI training and inference across multi-threaded workloads, LLMs, and simulation pipelines. It’s also ideal for infra leaders driving scale, speed, and performance. In plain speak, TAHO delivers significant cost savings by reducing compute waste and maximizing hardware utilization.

When is TAHO not the right fit?

If your team is focused purely on frontend development, APIs, or lightweight web apps without sustained compute demand, TAHO likely isn’t necessary. It’s designed for serious throughput, not casual traffic.

What are the performance gains I can expect?

Teams using TAHO see 2× compute efficiency, lower cloud bills, and faster inference. It’s especially powerful on large, distributed, or always-on workloads like AI/ML, simulation, and data pipelines.

Do I have to replace all of my infra software at once?

No. TAHO plays nice with existing software and can run on the same machines as your existing clusters and containers without disturbing their existing workflows. This allows you to deploy across your infrastructure at your own pace.

What’s the performance guarantee?

If TAHO doesn’t double your compute, you won’t be charged. We stand behind our value. No results means no payment, it's that simple.

Still have questions?

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