Solutions
What people
run on us
Written by workload, not by industry vertical, because the shape of the job determines the shape of the infrastructure far more than the sector does.
By workload
Six patterns
Foundation model training
Reserved H200 or H100 clusters on 400G InfiniBand, parallel filesystem for checkpoints, Slurm for queueing. Sized by parameter count and token budget.
Inference serving
L40S or MI300X behind autoscaling endpoints, with scale-to-zero for spiky traffic and MIG partitioning when a whole card is too much.
Fine-tuning and RAG
Single-node A100 or L40S pods, a vector database on NVMe block, and the dataset sitting in object storage in the same region.
Render and VFX
RTX 6000 Ada farms with a shared project filesystem, burst capacity for delivery weeks, and no egress bill on the final master.
Simulation and HPC
CFD, FEA and EDA on memory-heavy nodes with low-latency interconnect. Licence-server friendly, with dedicated hosts where the vendor demands it.
Private cloud and DR
VMs, dedicated hosts and cross-site replication for teams leaving on-premise hardware without leaving the jurisdiction.
By sector
Where residency
is the point
Some industries can't put the question aside. For these, in-country infrastructure isn't a preference; it's the condition of doing the project at all.
Banking and insurance
RBI localisation for payment data, cyber-security framework alignment, and audit evidence your regulator will accept.
Government and PSU
MeitY-empanelated capacity with GeM procurement, and deployment models that keep classified workloads on dedicated hardware.
Providers and pharma
DPDP-compliant handling of patient data, with imaging and genomics pipelines close to the storage that holds them.
Industrial and auto
Simulation clusters and edge-to-core pipelines that keep design IP inside the corporate boundary.
Studios and OTT
Render capacity that scales for a delivery window and drops back afterwards, with masters that cost nothing to retrieve.
AI-native companies
Start on a card, grow to a cluster, and keep the same API. Credits and reserved pricing available through our accelerator programme.
Not sure which
shape you need?
Describe the workload. We'll size it, benchmark it and tell you honestly if we're the wrong fit.