Power in. Tokens out.
Turnkey environments for training frontier models and serving production inference — designed, built and operated as a single system.
The AI factory, drawn.
Nine modules, one contract. Substation to service endpoint — JDI owns the stack from the transformer to the token.
Each module is documented, telemetered, and independently upgradable — so the facility keeps pace with the silicon roadmap without a rebuild.
Nine modules. Zero seams.
Each module has a specification, a set of instrumentation, and an SLA. Together they compose an AI factory.
GPU Clusters
Reference designs for 1K to 100K accelerator deployments — pre-validated, ready to train.
AI Compute
Bare-metal and orchestrated compute across H100, H200, B200 and next-gen silicon.
Training Infrastructure
Non-blocking fabrics, checkpoint-class storage, and thermal envelopes tuned for weeks-long runs.
Inference Infrastructure
Latency-optimized pods with autoscaling, model caching, and sub-10ms P99 targets.
High Density Racks
Liquid-cooled racks from 40kW to 130kW — engineered for tomorrow's silicon roadmap.
AI Storage
Parallel filesystems delivering terabytes-per-second to training clusters. Object tiers for datasets.
High Speed Networking
InfiniBand NDR and 800G Ethernet spines. RDMA fabrics that scale without hotspots.
AI Factory
End-to-end turnkey AI production lines — power in, tokens out.
Future AI Platform
Developer surface, model registry, and inference APIs on JDI-owned compute.
Reserve
Commit to capacity — bare metal, containerized, or platform tier.
Deploy
JDI commissions the pod, validates the fabric, hands over keys.
Operate
24/7 NOC, priority interconnect, capacity elasticity as your roadmap grows.
Reserve capacity on the next generation.
H200 and B200 pods commissioning through 2026. Reserved allocations and priority interconnects available.