Want to run any open modelcut inference costscale on-demand right in your VPC?

Choice of inference platform can make or break your AI strategy. All other options force a choice between Scalability, Data Privacy and Ops Overhead. Pythos is the only answer that delivers all three. Now you can deploy any open-weights models right in your VPC securely without the operational headache.

  • Any open model
  • Lower latency
  • Higher Availability
  • Lower Cost
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Self-hosted Baseten, Fireworks, Together etc.. Bedrock, Vertex AI, AI Foundry TRILEMMA Data Privacy Inference Scalability Zero Ops Overhead Pythos Break the trilemma.

Scalability, Data Privacy and Ops Overhead trilemma

The Pythos Promise

All three needs, met at once

What used to force a trade-off is now a single guarantee, delivered inside your own AWS, Azure, or GCP footprint.

Data Privacy

Privacy through encryption

  • An in-VPC data plane keeps your data and the digital exhaust inside your security perimeter.
  • Privacy guaranteed by Zero Operator Access on a Confidential Computing substrate, not by T&Cs.
  • Reuses your existing guardrails, quotas, IAM, audit and logging on AWS, Azure and GCP.
Inference Scalability

Reliability at scale

  • Bounded tail latencies & high availability under real production load. No need to mitigate infra quirks by adding complexity to layers above.
  • Low cost unit economics as you scale.
  • Day-0 access to the newest models, covering LLM, STT, TTS, VLA, and other architectures.
Zero Ops Overhead

Fully managed & integrated

  • A fully managed platform means no clusters to babysit, no upgrades to chase.
  • Deeply integrated with the AWS, Azure and GCP ecosystem you already run on.
  • Blends seamlessly into existing operational model with no learning curve.
Technology

Powered by Cythos, our compute substrate

Pythos is built upon Cythos, our proprietary compute substrate that turns fragmented, heterogeneous hardware into one dependable pool of inference capacity.

One logical pool

Cythos abstracts diverse and heterogeneous computing resources into a single logical pool — so scheduling, scaling and placement happen without you thinking about the underlying machines.

Every source of compute

Resources come from multiple cloud providers, neo-clouds, accelerator vendors, architecture generations and geographic silos — unified behind one interface.

Battle-hardened

Cythos is battle-hardened with leading AI research teams across industry and academia, proven under real production and research workloads.

Cythos is trusted by teams in industry & academia
"We switched due to their competitive pricing and reliability."
Anshu Avinash
Tech Dir, AI & Search · DevRev
"Love Cloudexe for their pricing and stellar support!"
Soumyadeep Bakshi
Co-founder · Collinear.ai
"Deployments become effortless with intuitive interface."
Prof. Fernando De La Torre
CMU Robotics Institute
"Ideal UX for managing multi-campus education and research infrastructure."
Prof. Snehanshu Saha
BITS Pilani, India
"Runtime abstraction is clean...provided excellent support throughout."
Dr. Rolando Garcia
Presidential Fellow · Arizona State
"Easy to use, simple to operate, and has delivered strong performance for our research needs."
Prof. Yiran Chen
Duke University
"Super clean and intuitive, integral to accelerating our lab's work on learning trajectory analyses."
Prof. Najoung Kim
Boston University
"Made it easier to test ideas quickly and stay focused on the research itself."
Sangmin Jung
PhD Candidate · Arizona State
"Phenomenal experience. Removes many inconveniences of other GPU providers: intuitive platform, fantastic support."
Victor Shirasuna
AI Research Scientist · PUC-Behring
"We switched due to their competitive pricing and reliability."
Anshu Avinash
Tech Dir, AI & Search · DevRev
"Love Cloudexe for their pricing and stellar support!"
Soumyadeep Bakshi
Co-founder · Collinear.ai
"Deployments become effortless with intuitive interface."
Prof. Fernando De La Torre
CMU Robotics Institute
"Ideal UX for managing multi-campus education and research infrastructure."
Prof. Snehanshu Saha
BITS Pilani, India
"Runtime abstraction is clean...provided excellent support throughout."
Dr. Rolando Garcia
Presidential Fellow · Arizona State
"Easy to use, simple to operate, and has delivered strong performance for our research needs."
Prof. Yiran Chen
Duke University
"Super clean and intuitive, integral to accelerating our lab's work on learning trajectory analyses."
Prof. Najoung Kim
Boston University
"Made it easier to test ideas quickly and stay focused on the research itself."
Sangmin Jung
PhD Candidate · Arizona State
"Phenomenal experience. Removes many inconveniences of other GPU providers: intuitive platform, fantastic support."
Victor Shirasuna
AI Research Scientist · PUC-Behring
About us

Built by the people who built the GPUs

Who we are

We are a startup based in Silicon Valley. The founding team led iconic GPU programs at NVIDIA, Intel, and Google — shipping the first CUDA GPU, the first ARC GPU, and the core tech behind Google Stadia (cloud gaming platform).

Our investors

Engineering Capital

Get in touch

To schedule a demo, book time with us.

Or send us an email at info@cloudexe.tech.