Cirrascale Cloud Services

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Cirrascale Cloud Services is a Coding & Development tool that provides private AI cloud infrastructure for training and inference. It supports NVIDIA, AMD, and Qualcomm accelerators with no egress fees and high-bandwidth networking.

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At a glance

Pricing

Paid

Free tier

API

Skill level

Technical

About

What is Cirrascale Cloud Services?

Cirrascale Cloud Services offers a robust private AI cloud infrastructure designed to accelerate AI training and inference workloads. The platform supports a wide range of leading accelerators, including NVIDIA (B200, H200, H100, A100, RTX series), AMD Instinct, and Cerebras. Key benefits include high throughput, multi-tiered storage, professional and managed services to reduce DevOps overhead, and the absence of egress or ingress data transfer fees. With high-bandwidth, low-latency networking and tailored multi-GPU server solutions, Cirrascale aims to maximize the speed and efficiency of AI projects, remove bottlenecks, and optimize workflows for seamless, secure, and efficient private AI operations. They also offer specialized services like Private Gemini on Google Distributed Cloud and Google GPAR Services.

Best used for

Ideal for developers who need to accelerate AI training, deploy AI inference models, and manage high-performance computing workloads. Especially valuable for organizations requiring secure, private AI environments with no egress fees and access to a wide range of NVIDIA, AMD, and Cerebras accelerators.

Common actions

accelerate AI training

deploy AI inference

manage AI infrastructure

access specialized GPUs

Capabilities

Key features

Private AI cloud infrastructure
NVIDIA GPU support
AMD Instinct support
Cerebras Cloud
Qualcomm Cloud AI
No egress fees
High-bandwidth networking

Target Audience

developer

Integrations

google-cloud

Pricing & Plans

Paid

Not publicly disclosed. Check cirrascale.com for current pricing.

FAQs

What types of AI accelerators does Cirrascale Cloud Services support?

Cirrascale Cloud Services supports a comprehensive range of AI accelerators, including NVIDIA GPUs (B200, H200, H100, A100, RTX series), AMD Instinct Series, Cerebras AI Model Studio, and Qualcomm Cloud AI. This allows users to choose the optimal hardware for their specific AI workloads.

Does Cirrascale Cloud Services charge for data transfer?

No, Cirrascale Cloud Services explicitly states that it has no egress or ingress data transfer fees. This is a significant benefit for users dealing with large datasets for AI training and inference, helping to avoid unexpected costs often associated with cloud providers.

What is the 'No Surprises billing model' mentioned in the pricing?

Cirrascale's 'No Surprises billing model' means that customers will always know their costs upfront, with no hidden fees. Pricing is typically per server per month, and long-term commitments (3, 6, or 12 months) can offer discounts of up to 20%.

Can I run Google Gemini models on Cirrascale's platform?

Yes, Cirrascale offers Private Gemini on Google Distributed Cloud and a Private Gemini Endpoint on Google Cloud Marketplace. This allows users to run Gemini models while keeping their data secure behind a firewall within their own infrastructure.

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