You focus on the models.
We handle the infrastructure.
Train foundation models without thinking about infrastructure.
A CLI for GPUs
CLI COMMANDS
tp cluster create 8xB200 --num-nodes 4
Multi-node GPU clusters on demand. Always 3.2Tbs Infiniband.
tp storage create 100000
Shared storage volumes for clusters. 10GB/s reads & 5GB/s writes. Faster than local NVMe.
tp job push train.toml c-abcde12345
Kick off training jobs with a Git-style interface.
Why TensorPool?
FEATURES
High Performance Storage
Storage infrastructure engineered for distributed training. Optimized for high throughput & low latency workloads with sustained aggregate performance: up to 300 GB/s read, 150 GB/s writes, 1.5M read IOPS, 750k write IOPS.
Git style CLI
Training with no orchestration burden. Manage experiments with a familiar push/pull paradigm that eliminates idle GPU time. Normal SSH access also offered.
Capacity
TensorPool provides on-demand multi-node clusters. We do this by scheduling & binpacking users onto TensorPool operated clusters in partnership with compute providers (Nebius, Lightning AI, Verda, Lambda Labs, Google Cloud, Microsoft Azure, and others).