Cerebras Cloud @ Cirrascale

A Powerful Cloud Solution for AI Compute

Cerebras Cloud @ Cirrascale is powered by the groundbreaking Cerebras CS-2 system, which is designed to enable fast, flexible training and low-latency datacenter inference. Now, thanks to the partnership between Cerebras and Cirrascale Cloud Services, you can experience it in the cloud.

Featuring the 2nd generation Wafer-Scale Engine (WSE-2), the Cerebras CS-2 system has greater compute density, more fast memory, and higher bandwidth interconnect than any other AI solution.

Easily programmable with leading ML frameworks, the CS-2 system helps industry and research organizations unlock cluster-scale AI performance with the simplicity of a single device. Achieve faster time to solution with greater efficiency.

Why is the Cerebras Wafer Scale Engine the Right Solution for AI?

Today’s state-of-the-art models take days or weeks to train. Organizations often need to distribute training across tens, hundreds, even thousands of GPUs to make training times more tractable. These huge clusters of legacy, general-purpose processors are hard to program and bottlenecked by communication and synchronization overheads.

Rather than build a slightly smaller cluster of slightly faster small devices, Cerebras wafer-scale innovation brings the AI compute and memory resources of a cluster onto a single device, making orders-of-magnitude faster training and lower-latency inference easy to use and simple to deploy.

AI Acceleration with No Communication Bottlenecks

The WSE-2 packs 850,000 cores onto a single processor, enabling the CS-2 system to deliver cluster-scale speedup without the communication slowdowns that come from parallelizing work across a massive cluster of devices.

Accessible Performance for Every Organization

One chip in one system means cluster orchestration, synchronization and model tuning are eliminated.. CS-2 makes massive-scale acceleration easy to program for.

Real-time Inference Latencies for Large Models

Keeping compute and memory on chip means extremely low latencies. On the CS-2 system, you can deploy large inference models in a real-time latency budget without quantizing, downsizing, and sacrificing accuracy.

Software That Integrates Seamlessly With Your Workflows

The Cerebras software platform integrates with popular machine learning frameworks like TensorFlow and PyTorch, so researchers can use familiar tools and effortlessly bring their models to the CS-2 system.

No distributed training or parallel computing experience needed. The Cerebras software platform makes massive-scale acceleration easy to program.

A programmable low-level interface allows researchers to extend the platform and develop custom kernels – empowering them to push the limits of ML innovation.

Cerebras Cloud Pricing

Using a Cerebras Cloud instance with Cirrascale ensures no hidden fees with our flat-rate billing model. You pay one price without the worry of fluctuating bills like those at other providers. Pricing shown below is per instance for the total time stated.