GPU Cards
Data-center training GPUs to inference-optimized accelerators, matched to your model size, memory footprint and throughput targets.
Services / Integrated intelligent computing operations
AI Cloud & Managed
Services.
AI cloud servers, GPU clusters, data, security and monitoring designed as one production service—not a collection of equipment purchases. Configurations, operational coverage and service commitments are agreed for each workload.
01 / Where engagements start
Six problems
we are asked to solve.
Select a challenge to see the service layer behind it. Each answer is scoped to your workload, not sold as a fixed package.
01 / Service answer
Sovereign AI Cloud & GPU Clusters
On-demand, reserved and dedicated accelerators under Indian-rupee commercial structures, with zero metered egress.
- On-demand, reserved and dedicated accelerators
- Indian-rupee commercial structures
- Zero metered egress on sovereign capacity
02 / The estate in numbers
What one
relationship covers.
Six service layers, twelve hardware categories and five engagement models describe the scope of this offering. NOC and SOC coverage is agreed per engagement; these are not counts of live clusters or available servers.
00Service layersSovereign compute through managed operations
00Hardware & platform categoriesSpecified, quoted and integrated together
00Engagement modelsFrom a pilot to captive ownership
00×7NOC and SOC coverageContinuous operations and security watch
03 / Full-stack catalogue
Every layer of the build,
sourced as one system.
Twelve hardware and platform categories — specified, quoted and integrated together, with configurations confirmed by the team for every engagement.
Accelerated Servers / Rack Servers
GPU-dense rack platforms for training and inference clusters with validated thermals and remote management.
Accelerated Workstations
Desk-side accelerated systems for data science, model development, simulation and design teams.
CPUs
Host processors balanced against GPU count — core, memory channels and I/O lanes so hosts never starve compute.
RAM / High-Bandwidth Memory
System memory and HBM sized for large models — capacity and bandwidth decide what a GPU can actually deliver.
Networking / NICs / SuperNICs
High-speed NICs and SuperNICs with RDMA that keep multi-node training synchronized and inference latency low.
DPU / PCIe / Interconnect
DPUs offload networking, storage and security; PCIe topology and GPU-to-GPU interconnect define in-node data speed.
Cooling & Power
Air, liquid or hybrid cooling plus power distribution engineered for sustained accelerator load, not nameplate averages.
Storage
From NVMe-local to parallel file systems — fast, resilient storage for training data, checkpoints and model artifacts.
Edge Computing / Embedded Hardware
Ruggedized and embedded compute modules for factories, vehicles, defense platforms and remote sites.
Enterprise Software & Platforms
Orchestration, model frameworks, MLOps tooling, monitoring and security — hardware capacity becomes governed computing capability.
Companies / OEMs / ODMs
Sourcing and integration across leading OEMs and ODMs, selecting the right platform partner for each build.
The detailed catalogue with layer-by-layer guidance lives on the Hardware & Platforms page.
04 / Protected by design
Security travels
with the workload.
Identity, segmentation, encryption, observability and audit evidence are designed into the service from the infrastructure layer upward.
- Zero-trust access architecture
- GPU and tenant isolation
- 24×7 NOC and SOC operations
- Backup and recovery orchestration
05 / Engagement models
Consume, reserve
or build captive.
A commercial path for pilots, production services and long-horizon infrastructure ownership.
01Per GPU hour
02Reserved capacity
03Dedicated managed
04Captive build
05Build–own–operate–transfer
