One platform, four sharp tools.
Inference, training, pipelines, and generative AI. Each one is a first-class product. Use one, use all four, compose them however your team works.
Serve models at warehouse scale.
Low-latency endpoints with autoscaling, batched throughput, and routing tuned for tabular and embedding workloads. Plug in your warehouse, hit the API, ship.
- Autoscale on requests, GPU utilization, or queue depth
- Dynamic batching with hard SLA budgets
- Token, embedding, and tabular endpoints out of the box
Multi-GPU jobs without the babysitting.
Spot fallback, automatic checkpointing, one-line resume. Bring PyTorch, JAX, or our managed recipes for LoRA and full fine-tunes.
- H100, A100, and L40S pools across 3 regions
- Reserved capacity from $1.79/H100-hour
- Resume from any checkpoint, on any cluster
Your data, in place.
Native connectors for Snowflake, BigQuery, Databricks, and S3. Stream features and labels without copying terabytes or maintaining a sidecar.
- Push-down predicates and column pruning
- Iceberg, Delta, Parquet, and Arrow first-class
- Lineage and freshness on every job run
Open models, sharp primitives.
Curated open weights, embedding endpoints, evaluators, and RAG primitives. Ship a working demo in an afternoon, scale it without re-platforming.
- Llama, Mistral, Qwen, plus your own
- Vector search and reranking endpoints
- Eval harness with golden sets and CI hooks
Why Datavere
The infra layer your data team actually wants.
Built for data work
Connectors, schedulers, and runtimes designed around warehouse and lakehouse patterns, not general compute.
Honest, transparent pricing
Per-second billing on every tier. Reserved pricing without a quarterly call. Spot without surprise eviction tax.
Developer experience, first
A CLI you can read in an hour, an SDK you can extend in a week, an open issue tracker you can actually find your bug in.