Company

Built by people who have deployed AI infrastructure at scale.

TensorCove Cloud Services was founded to make dedicated AI compute simpler to get and easier to run.

Our mission: give every AI team the dedicated compute it needs, delivered fast and run reliably.

Large-cluster experience

Our team has designed, deployed and operated large GPU clusters, from power and cooling to InfiniBand and Spectrum-X fabrics.

Supply-chain relationships

Long-standing relationships across GPU servers, networking, optics and power help keep builds on schedule.

AI application expertise

We understand the workloads that run on our clusters, from model training to production inference.

How we work

One team, accountable end to end.

We stay with the cluster for its whole life: the people who design it are the people who build it and the people who run it.

Meet the team
  • Clear scope and acceptance criteria before we start
  • Qualified, multi-vendor supply for every layer
  • Transparent reporting on health and utilization
  • Your models and data stay yours
Co-founders

Leadership

Dr. Anjing Wang
Co-founder and CEO

Dr. Anjing Wang

Anjing leads TensorCove's customer relationships, commercial strategy and investor relations, and guides the company's AI inference work.

  • Co-founder of LINKSIA and Lamabang
  • AI inference and application projects for Apple, Fanatics and 57Blocks
  • Network routing and infrastructure at Ericsson
  • Ph.D. in Computer Science, North Carolina State University
  • 10+ issued patents and publications
Co-founder and CTO

J. X.

J. leads data center planning and construction, cluster architecture and operations.

  • 20+ years in AI infrastructure, including Supermicro
  • Led GPU cluster deployments for X, Tesla and Hut 8
  • GPU platforms, InfiniBand and Spectrum-X
  • 20+ issued or pending patents
Join us

We are growing.

We are looking for data center, network and operations engineers who want to build the infrastructure behind AI.

Send your background and the role you are interested in to:

Ready to plan your cluster?

Tell us about your workload and timeline. We will come back with a cluster design and a proposal.

Talk to us