Hear directly from our clients about their experiences and the impact of Tensor Fusion
Tensor Fusion has been transformative for our AI infrastructure. We've seen an 87% reduction in our GPU costs while maintaining the same throughput.
Dr. Sarah Chen
Chief Technology Officer, AI Scale Labs
OMG! Our GPU utilization jumped from 23% to 91% after implementing Tensor Fusion! The automated resource allocation is pure magic - no more GPU usage headaches!
Mike Rodriguez
Co-founder & Head of AI, NextGen ML
The complexity of managing our GPU cluster was becoming untenable. Tensor Fusion's solution reduced our operational overhead by 75% and increased our inference throughput by 3.2x.
Dr. James Mitchell
Chief Scientist, Quantum AI Research
Tensor Fusion's intelligent GPU pooling allowed us to consolidate our resources across three data centers. We've achieved 94% utilization and saved $2.1M annually in infrastructure costs.
Lisa Chang
Head of AI Infrastructure, Enterprise AI Solutions
Simply brilliant! Our ML engineers can now focus on model development instead of resource management. Training times dropped by 65% and we've eliminated GPU queuing bottlenecks completely.
Alex Thompson
Founder & CEO, ML Operations Inc
Tensor Fusion's scalability is unmatched. We seamlessly expanded our AI operations from 50 to 500 GPUs without a hitch. The cost savings and efficiency gains have been astronomical.
Joe Doe
VP of Engineering, Global AI Solutions
Elevate Your AI Infra with Any Types of Cloud
Explore our three-phase approach to see how Tensor Fusion drives GPU efficiency in your AI infra.
Scenario
01
Bring Your Own Kubernetes
Onboard existing Kubernetes cluster to Tensor Fusion with one simple Operator deployment, no need to change your existing workflow, seamless migration
For new users, just add cloud vendor integration, it could be AWS/GCP/Azure etc. Tensor Fusion will manage the auto-provisioned, auto-pilot GPU pool in your own cloud account
For GPU providers or Cloud vendors, Tensor Fusion provides end-to-end solution to build Turbo or Serverless GPU instance, so that to maximize utilization and your revenue.