The economics of dedicated GPU cloud, convenience of hyperscaler public cloud, delivered with zero integration work
Cloudexe brings together innovative technology, an ecosystem and a business model. Cloudexe's data plane decouples software environment from physical hardware, allowing movement of workloads out of hyperscaler cloud to other providers with zero integration work. Cloudexe's control plane aka realtime workload matchmaking finds the right GPU provider for any workload just-in-time, enabling new ways of paying for compute. Cloudexe's globe-spanning partner network brings plentiful and economical GPU supply anywhere.
Using Cloudexe is easy.
cloudexe client.config.json.cloudexe as the launcher.Cloudexe does away with the chores of remote login, software install, file updates, dataset uploads/downloads, model weights uploads/downloads, code syncing, OS updates, credentials management, port forwards, network tunneling, server lifecycle management.
Workload executes in the context of the client machine on which it is launched, including the filesystem, network, devices, IPC, etc.
That means less time wrangling infra, and more time for AI.
Cloudexe works seamlessly for any GPU AI/ML workload.
See more demos.
The network tunnel to Cloudexe GPU server is protected with SOTA encryption.
The workloads will deliver the native performance of the target GPU(s).
Save between 50% to 80% over public cloud GPU pricing, even after adding network egress cost.
Configure everything - Performance, target GPU, payment options, scaling options, and more.
Ask us about SOC-2 Type2 compliance.
Use Cloudexe with Slurm, Kubernetes, Ray and others, whether dockerized or not.
Cloudexe works for inference, training, fine-tuning Gen AI tasks, or classic ML and CV workloads.
Enterprise features like HA, API integrations, dashboards, OAuth2, RBAC, On-prem and many more.
Use Cloudexe if you care about shaving off milliseconds from your tail latency for niche use cases.
Cloudexe offers multiple industry standard ways of providing information security for your sensitive data.
| GPU | Pay-per-use | 3-month commit | Location |
|---|---|---|---|
| H100-80GB-SXM | $2.50/hr | $2.00/hr | US-West, US-East, CA-Central |
| H200-144GB | $3.50/hr | $2.80/hr | US-West, US-East, CA-Central |
| A40 48GB | $0.80/hr | $0.50/hr | US-West, US-East, CA-Central |
We continuously add more supplier-partners to our network. We also offer generous trial periods, and free credits for educational and research institutions. Just ask. Please reach us at info@cloudexe.tech for details.
We are a seasoned team of elite engineers and entrepreneurs with deep experience in building GPU cloud infrastructure at companies like Intel, NVIDIA, Google and others. We are based in Silicon Valley.
Reach us at info@cloudexe.tech for corporate inquiries.