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The Era of Unbound GPU Execution

Platform-agnostic ML Runtime stack that handles compatibility, scheduling, and GPU resource optimization automatically
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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

Unlock GPU Flexibility Without Rebuilding Your ML Stack - On-Prem, Cloud Hosted, or Hybrid

Built on top of our CUDA abstraction layer to support heterogeneous GPU vendors

Run PyTorch models inside GPU platform-agnostic containers

Maximize utilization with the dynamic allocation of GPU resources across workloads

Standardized runtime that eliminates environment reconfiguration and hardware compatibility issues

Using
WoolyAI
Acceleration Service

Run your Pytorch CUDA models inside a platform-agnostic container on your AMD and Nvidia GPUs

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

Monitor workload usage by measuring GPU memory and core consumption in real time

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 utilization

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

Better scheduling and orchestration across heterogeneous hardware

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.

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Contact

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

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