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The Era of Unbound GPU Execution

A virtual GPU cloud providing scalable GPU memory and processing power, with billing based on actual usage and not Time Used.

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Unprecedented Efficiency

Reimagined Consumption

Diverse GPU Support

Seamless Integration

Unprecedented Efficiency

Reimagined Consumption

Diverse GPU Support

Seamless Integration

WoolyAI Acceleration Service

A GPU cloud with "Actual GPU Resources Used" billing NOT "Time Used" billing

Built on top of our CUDA abstraction layer technology

Seamlessly integrates with existing Pytorch CPU-only environments with remote GPU acceleration

Billing is based on the actual GPU core usage and memory consumption of your kernels

Scales transparently on both GPU processing and memory dimensions

Using
WoolyAI
Acceleration Service

Run Your Pytorch application inside Wooly Client container running on your CPU infrastructure

User Serverless GPU Service

Repurpose App code to add service-specific calls and upload your container to the service

Using Cloud GPU Instances

Requires starting specific GPU instances on the cloud

Using
WoolyAI
Acceleration Service

User cost is based on how much GPU memory and cores processing is used by the workload.

User Serverless GPU Service

User cost is based on how long the container runs

Using Cloud GPU Instances

User cost is based on how long the instance stays turned on, irrespective of utilization

Using
WoolyAI
Acceleration Service

The CUDA abstraction layer runs all applications within a single userspace, maximizing GPU efficiency and significantly reducing costs for users

User Serverless GPU Service

GPU assigned as a full unit or in multiples resulting in high effective cost for the users.

Using Cloud GPU Instances

GPU assigned as a full unit or in multiples resulting in high cost for the users.

Using
WoolyAI
Acceleration Service

Converting Kernels in Wooly Instruction Set and recompiling for multiple target GPU hardware enables full control on utilization and performance.

User Serverless GPU Service

Service Provider unable to run multiple concurrent ML workloads with predictable performance on the same GPU.

Using Cloud GPU Instances

Unable to run multiple concurrent ML workloads with predictable performance on the same GPU.

Company
Contact

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WoolyAI Acceleration Service - GPU service with GPU core and memory resources used billing | Product Hunt

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