Cirrascale
Private AI cloud infrastructure with multi-GPU servers, high-bandwidth networking, managed services, and predictable monthly pricing.
About Cirrascale
Cirrascale provides cloud infrastructure for private AI training and inference. It combines multi-GPU servers, multi-tier storage, high-bandwidth low-latency networking, and professional or managed services for teams that do not want to operate the full infrastructure stack. The platform supports accelerators from NVIDIA, AMD, Qualcomm, and other vendors, so teams can test and deploy workloads across different hardware in one cloud environment. Cirrascale states that ingress and egress data transfers carry no fees. Its No Surprises billing model presents server costs per server per month, with monthly, three-month, six-month, and annual terms. Discounts may apply to longer commitments. The service is aimed at organizations running compute-intensive training or inference that need dedicated configurations, predictable monthly infrastructure spending, and help with deployment or operations.
Best for
Best use cases
Training private AI models on high-memory accelerator servers
Deploying inference workloads on dedicated GPU infrastructure
Evaluating workloads across NVIDIA, AMD, and Qualcomm accelerators
Compare before choosing
No ingress or egress data transfer fees can reduce variable data-movement costs
Monthly and longer commitment terms trade flexibility for potential discounts
Sales-led configuration is less immediate than self-service hourly cloud provisioning
Features
Private AI training
Run compute-intensive model training on tailored multi-GPU servers with high-bandwidth networking and multi-tier storage.
Private AI inference
Deploy inference workloads on dedicated accelerator infrastructure while keeping control of the surrounding private AI environment.
Cross-accelerator evaluation
Test workloads across NVIDIA, AMD, Qualcomm, and other supported accelerators within one cloud provider.
Managed infrastructure operations
Use professional and managed services when the team wants infrastructure support without staffing the full DevOps workload internally.
Pros
- No ingress or egress data transfer fees make data-movement costs more predictable.
- Multiple NVIDIA, AMD, and Qualcomm accelerator options support hardware evaluation.
- Professional and managed services can reduce the infrastructure operations burden.
Cons
- Published configurations carry substantial per-server monthly costs for smaller teams.
- The service uses sales-led setup rather than immediate self-service provisioning.
- Support is available Monday through Friday, 8am to 5pm Pacific Time, rather than around the clock.
Pricing Plans
8X AMD MI300X — Annual Term
- 8X AMD MI300X GPUs
- Dual 48-core processors
- 2.3TB system RAM
- 25Gb bonded networking
4X AMD MI250 — Annual Term
- 4X AMD Instinct MI250 GPUs
- Dual 64-core processors
- 1TB system RAM
- 25Gb bonded networking
8X NVIDIA B200 — Annual Term
- 8X NVIDIA B200 GPUs
- Dual 48-core processors
- 2TB system RAM
- 25Gb bonded networking
8X NVIDIA RTX PRO 6000 Blackwell Server Edition — Annual Term
- 8X NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs
- Dual 48-core processors
- 768GB system RAM
- 25Gb bonded networking
* Pricing information is for reference only. Please refer to the latest announcement on Cirrascale's official website.