Profile Demand
Characterize training, tuning, inference, and simulation workloads by memory, throughput, latency, precision, run duration, concurrency, data locality, and growth.
Outcome: a workload and demand profile that can support comparison.
Compute & AI Infrastructure
Match high-performance compute to the work it must do.
Translate model, data, network, operational, and commercial requirements into an infrastructure plan that can be compared, activated, measured, and renewed with intent.
Capacity as a system
Resolve the technical and commercial model together.
Accelerator choice matters, but productive capacity also depends on workload behavior, data movement, orchestration, operations, and the terms under which the infrastructure is used.
Evaluate Options
Compare systems, providers, deployment models, network and storage requirements, support boundaries, and commercial structures against the same demand profile.
Outcome: a traceable technical and commercial option comparison.
Activate Capacity
Prepare networking, storage, scheduling, access, security, deployment, and observability so capacity arrives as an operable platform rather than isolated hardware.
Outcome: an activation plan with dependencies and operating ownership.
Improve Economics
Measure utilization, queue behavior, allocation, and cost drivers. Use that evidence for showback or chargeback, capacity adjustments, commercial review, and renewal planning.
Outcome: an evidence base for ongoing capacity and commercial decisions.
Comparable options
Keep the workload profile constant.
A useful provider or deployment comparison applies the same workload assumptions to capacity shape, networking, storage, scheduling, support, term, commitment, and exit conditions. This separates real trade-offs from differences in packaging.
Technical references
A compact basis for early comparison.
Reference specifications can help frame memory, bandwidth, system density, and facility implications before provider and deployment constraints are applied.
| Platform | Memory | Bandwidth | Reference |
|---|---|---|---|
| H200 | 141 GB HBM3e | 4.8 TB/s | Approximately 1.4× H100 training and up to 1.8× inference |
| B200 | 192 GB HBM3e | Approximately 8 TB/s | Blackwell |
| B300 | 288 GB HBM3e | 8 TB/s | Blackwell Ultra |
| GB300 NVL72 | Rack-scale HBM3e: about 20 TB | NVLink fabric: 130 TB/s | 72 GPUs, 36 Grace CPUs, approximately 120 kW, 1.1 exaFLOPS FP4 |
Specifications are references and not evidence of inventory, price, region, availability, or delivery timing.
Start here
Make the next capacity decision comparable.
Bring the workload profile, provider options, or renewal question. We’ll help turn it into an actionable infrastructure plan.
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