Traditional systems can't handle enterprise analytical data
Distributed clusters require massive infrastructure spend
Cloud warehouse spend spiraling with no end in sight
GPU-accelerated analytics that stays in the Postgres ecosystem. No migration, no retraining. Standard extension with no code forks.
GPU-direct storage access eliminates CPU bottlenecks. First to productize for Postgres.
Performance that rivals multi-node clusters without the operational complexity.
GPU-Direct storage fabrics can saturate NVMe systems, beating DRAM IOPs.
Complex • Expensive • Fragile
Simple • Affordable • Reliable
| Cores | 2,048 |
| RAM | 16TB |
| Mem Bandwidth | 3,200 GB/s |
| Internode Bandwidth | 100 Gbps |
| IOPs | 3-4M |
| Cores | 80,000 |
| RAM | 4TB |
| Mem Bandwidth | 32,000 GB/s (HBM) |
| Internode Bandwidth | 2,000 Gbps |
| IOPs | 40-200M |
Compute + Storage + Operations
Better performance, fraction of cost
Single server + 4x B200 GPUs
Tick data, risk modeling, real-time compliance
CDR analytics, network telemetry
Clickstream, recommendations, ML features
Genomic queries, clinical trials
Sensor telemetry, predictive maintenance
Route optimization, inventory forecasting, tracking
