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Platinum

Services

Requirements in. A written plan and a named handoff out.

Platinum models the workload, drafts the options memo, and aligns suppliers when a path exists. GPU class and dates are confirmed per request.

Service line

Resource integration

A requirements summary, an options memo, open questions, supplier-alignment notes, and a handoff checklist when access is arranged.

Boundary: Owning a public GPU cloud, or application / MLOps delivery as a default product.

Service line

GPU capacity

A scoped capacity ask (node count, topology, interconnect, timing) and access information once a supplier path is confirmed.

Boundary: On-demand provisioning from a Platinum-owned pool, or colo / power contracts unless separately scoped.

Service line

Model serving

A serving-pattern plan — shared, dedicated, or higher isolation — mapped to latency goals, data handling, and who operates the runtime.

Boundary: A live inference SKU or a public endpoint under the Platinum brand.

How the work runs

You receive documents and a named operating party — then Platinum’s engagement ends at handoff.

Requirements summary
What was asked, what is known, and what is still assumed.
Options memo
Two or three delivery shapes, with the questions that still block a quote.
Supplier alignment
Who can host or supply, and in what order they must approve access.
Handoff checklist
Access path, operating party, and follow-up — Platinum stops here.

Who owns what

Platinum
Requirements modelling, options memo, supplier introduction, and RFQ alignment when a path exists.
Capacity contract
Signed with the hosting or supplying party named in the order — not as a Platinum-owned GPU cloud.
Operating party
Deployment, runtime, any SLA, and incident response, as written in that party’s agreement.
Handoff
Platinum’s engagement ends when access path, operator, and follow-up contact are named in writing.

GPU classes used in planning

These names follow vendor product lines. They label a planning conversation; they are not a stock list.

NVIDIA H100
Hopper-class starting point for large-model training and high-throughput inference.
NVIDIA H200
Hopper-class label when HBM capacity for larger contexts or weights is the constraint.
NVIDIA B200
Blackwell-class label. Availability and interconnect are confirmed per request.
NVIDIA B300 Blackwell Ultra
Planning label for B300-class conversations. HGX B300 architectures may also be referenced. Availability is confirmed per request.
AMD Instinct MI350X
When the conversation is not locked to a single accelerator vendor.
NVIDIA RTX PRO 6000 Blackwell Server Edition
Server Edition only. Distinct from Workstation Edition and Max-Q Edition.