01
Demand without a deployment definition
Model behavior, topology, memory, throughput, term, location, and activation timing are not yet specific enough to qualify a capacity option.
Accelerated Compute Access
GPU capacity, matched to the workload and ready to operate.
ONCIDI turns qualified GPU demand into matched capacity options. We align workload requirements with H200- and Blackwell Ultra B300-class environments, structure the commercial path, and stay accountable through activation, utilization, and renewal.
Infrastructure Challenges
Demand, supply conditions, and deployment reality must align.
02
Headline price without system context
GPU pricing is compared without normalizing host architecture, network, storage, service boundaries, utilization assumptions, and operating overhead.
03
Architecture mismatch across generations
Newer capacity is treated as universally better even when memory profile, interconnect, software compatibility, or workload shape points elsewhere.
04
Start date and location constraints
Deployment windows, data residency, latency, power density, and regional access are discovered after commercial expectations have already formed.
05
Platform requirements outside the brief
Connectivity, storage, tenancy, security, images, observability, and operating ownership remain unresolved while the compute decision moves ahead.
06
Commitment without a utilization plan
Duration and scale are agreed before productive-use targets, ramp assumptions, renewal gates, and portability options are made measurable.
Capabilities
From qualified demand to an operable compute environment.
01
Demand qualification
Define model, topology, memory, throughput, term, location, activation window, and service boundaries before options are compared.
02
Capacity access
Translate qualified demand into technically and commercially viable H200- and Blackwell Ultra B300-class options, subject to supply confirmation.
03
Option qualification
Compare architecture, cluster topology, network, storage, location, operating model, activation risk, and commercial scope on like-for-like terms.
04
Commercial structuring
Align duration, scale, activation sequence, service boundaries, and contract protections before a capacity commitment is finalized.
05
Production activation
Coordinate environment access, tenancy, images, connectivity, storage, observability, security controls, and operating handover.
06
Utilization & GPU FinOps
Track productive use, idle capacity, cost per workload, commitment coverage, and the evidence required for renewal or portability decisions.
Unit Economics
Make productive use and commitment quality visible.
01
Cost per productive GPU-hour
Separate booked time from productive workload time so apparent capacity cost is measured against actual useful consumption.
02
Cost per training run
Connect compute, storage, network, retries, and engineering overhead to the cost of a completed model-development cycle.
03
Cost per model or request
Translate platform spend into the unit that product, engineering, and finance teams can use for planning and accountability.
04
Utilization by owner
Attribute active, queued, idle, and failed consumption to workloads and teams, with ownership for corrective action.
05
Commitment coverage
Compare committed capacity with forecast demand, ramp progress, and service boundaries before stranded cost becomes structural.
06
Renewal and portability
Use measured demand, operating performance, and alternative paths to shape renewal, resizing, or transition decisions.
Capacity Reference Classes
H200- and B300-class options, evaluated against the workload.
Swipe or scroll to compare all fields.
| Architecture | Scope | Memory | Bandwidth | Configuration |
|---|---|---|---|---|
| H200 | Per GPU | 141 GB HBM3e | 4.8 TB/s memory bandwidth | Provider-dependent |
| B200 | Per GPU | 192 GB HBM3e | approximately 8 TB/s | Provider-dependent |
| B300 | Per GPU | 288 GB HBM3e | 8 TB/s | Provider-dependent |
| GB300 NVL72 | Rack-scale system | approximately 20 TB HBM3e per rack | 130 TB/s NVLink | 72 GPUs and 36 Grace CPUs |
Reference specifications only. These classes do not represent ONCIDI inventory. Capacity, configuration, region, pricing, service levels, and delivery timing remain subject to supplier confirmation and contract. NVIDIA and the product names referenced are trademarks of NVIDIA Corporation; references are for identification only and do not imply endorsement, affiliation, or availability.
Engagement
A controlled path from capacity brief to productive use.
01
Capacity brief
Turn workload demand, technical boundaries, commercial window, location, and activation timing into a comparable decision brief.
02
Matched option set
Evaluate feasible capacity classes and delivery models against the same technical, operational, and commercial criteria.
03
Commercial & activation plan
Sequence supply confirmation, due diligence, contract review, access, and platform preparation around the required deployment window.
04
Production readiness
Validate tenancy, connectivity, storage, security, observability, images, runbooks, and operating ownership before workloads arrive.
05
Utilization review
Establish workload attribution, productive-use measures, financial reporting, and action thresholds for idle or constrained capacity.
06
Renewal & portability
Review measured demand, concentration risk, contract performance, and alternative paths before the next commitment decision.
Connected Practices
Capacity decisions depend on the systems around them.
Cloud
Cloud Services
Prepare the platform, governance, connectivity, storage, and operating environment.
AI
AI Services
Connect workload requirements to production AI architecture, quality controls, and unit economics.
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