Shamraiz | December 16, 2024
Clarifai, a leading AI solutions provider, has announced an innovative compute orchestration capability that will help enterprises improve the management of AI workloads, reduce operational costs, and avoid vendor lock-in. The new tool was announced on December 3, 2024, and allows organizations to optimize their AI operations across diverse computing environments, including cloud, on-premises, and air-gapped infrastructures.
Streamlining AI Operations with a Unified Platform
The new orchestration feature integrates seamlessly into Clarifai’s existing platform, offering a unified control plane to handle AI workloads regardless of where they are deployed. It supports various AI models and hardware accelerators, such as GPUs, CPUs, and TPUs, providing businesses with unparalleled flexibility.
Matt Zeiler, founder and CEO of Clarifai, highlighted the company’s long-standing expertise in AI innovation. He further stated that the solution has come at the end of a decade of experience by Clarifai in supporting large enterprises and government projects with advanced AI tools. “Clarifai has always been ahead of the curve, with over a decade of experience supporting large enterprise and mission-critical government needs with the full stack of AI tools to create custom AI workloads. Now, we are opening up capabilities that we built internally to optimize our compute costs as we scale to serve millions of models simultaneously,” he said.
Efficiency and Reliability at Scale
According to Clarifai, cost savings and performance improvements form significant claims that its platform promises. Based on advanced model-packing optimizations, it claims that computation usage is reduced by 3.7 times at its highest. Moreover, with a high reliability rate of 99.9997%, the company supports 1.6 million inference requests in one second.
This platform provides optimizations that can reduce costs up to 60-90% depending on configuration. It is, therefore, a good solution for enterprises to scale their AI operations at a cost-effective manner.
Key Features of the Compute Orchestration Platform
The compute orchestration tool addresses a number of critical challenges that businesses face when they deploy and manage AI systems. It optimizes cost through automated resource management. Techniques such as model packing, dependency simplification, and customizable auto-scaling allow resources to scale to zero when not in use, thus reducing wastage.
Its deployment flexibility means that the system is compatible with any hardware vendor and can be deployed on cloud platforms, on-premise setups, air-gapped environments, or Clarifai’s SaaS infrastructure. This adaptability ensures that enterprises can tailor the platform to meet their unique needs.
Integration with Clarifai’s existing AI suite enhances the platform’s functionality. Users gain access to tools for data labeling, training, evaluation, workflows, and feedback loops, ensuring a seamless experience for end-to-end AI development and deployment.
There are robust security measures in place as well. Enterprises can deploy the platform into customer VPCs or on-premise Kubernetes clusters without the need for open inbound ports, VPC peering, or custom IAM roles.
Addressing Real-World AI Challenges
This platform emerged from customer concerns about AI performance and cost management. A customer quoted in Clarifai’s announcement emphasized the value of a holistic approach to managing costs across different environments: “If we had a way to think about it holistically and look at our on-prem costs compared to our cloud costs, and then be able to orchestrate across environments with a cost basis, that would be incredibly valuable.”
Building on the company’s many years of experience in AI, Clarifai has developed its compute orchestration capabilities. Its platform has processed over 2 billion operations across computer vision, language, and audio AI. With a proven track record of maintaining 99.99%+ uptime and 24/7 availability, Clarifai continues to position itself as a reliable partner for businesses with critical AI applications.
