4r Consultancy Spark Studio
DELL SOLUTION STUDIO

Plan a Dell AI solution, POC to production

From a small proof of concept to supported production infrastructure — right-sized across Dell Pro Max, PowerEdge and Dell AI Factory.

DELL SOLUTION SIZER

Turn a model requirement into a Dell solution

Start with the customer outcome, separate POC from production, and show a credible path across Dell Pro Max, PowerEdge and Dell AI Factory.

Dataset · Sep 2026
1Choose the model
2Describe the workload
CUSTOMER JOURNEYPOC → production without a dead end
POCProvePilotValidateProductionOperateAI FactoryScale
RecommendedCALIBRATED ESTIMATE

RECOMMENDED DELL SOLUTION

Dell PowerEdge XE9780

Fits the selected workload with useful headroom.

Memory needed—including reserve
Per-user speed—modeled range
Users at target—at selected context
COMPLETE DELL SOLUTION

More than the accelerator

Production

Production readiness includes compute, data, network, protection, support and validation of the exact model-serving stack.

MEMORY

Where the capacity goes

— headroom

WHY THIS OPTION

Balanced for the workload

DELL EXPERIENCE SIMULATOR

Show how the model feels on a Dell platform

Compare decode speed, prompt processing and multi-user throughput—then explain why the inference engine changes the result.

Range-aware
PREDICTED OUTPUT RATE
—tokens/s
per user
—
Likely range—
Calibrated estimate
Prompt processing—input tokens/s
Time to first token—for selected prompt
Total throughput—all users combined
Memory state—model + cache
LIVE EXPERIENCE

How fast the answer appears

Reading pace
4–8
Comfortable
12–25
Fast
30–60
Instant feel
60+

DELL SOLUTION LADDER

Compare deployment stages on the same job

Show where a Dell Pro Max POC stops and where PowerEdge production—or a rack-scale Dell AI Factory—starts.

Like-for-like
Dell systemStageFitMemoryPer-user speedPowerIndicative capexBest use

Speed is a modeled range, not a vendor peak or guarantee. Production selection must also validate availability, HA, data, networking, security and support. Pricing remains editable in Cost.

DELL CUSTOMER BUSINESS CASE

Build the case for Dell on-premise AI

Compare acquisition, energy, support and residual value with an equivalent cloud service—without hiding editable assumptions.

Editable assumptions
—

—

—

On-premise total—— / month
Cloud total—— / month
Break-even—against selected cloud rate
CUMULATIVE COST

36-month comparison

On-premiseCloud
Use an equivalent cloud serviceThe cloud rate should meet the same model, context, concurrency and speed target.
MODEL TRANSPARENCY

How the estimates work

POC and production are different decisions

A POC proves model quality, application integration, RAG and data privacy with a small number of users. Production adds sustained concurrency, availability, serviceability, governance, networking, storage, protection and operational headroom. The recommended Dell stage is therefore part of the calculation.

A complete Dell solution

The accelerator server is only the compute layer. Production recommendations also surface the associated Dell data platform, PowerSwitch fabric, PowerProtect and support or professional services. Final architecture must be validated for the customer's environment.

Three performance numbers—not one

Memory includes weights, architecture-aware KV cache, runtime workspace and a reserve. Decode starts from effective memory bandwidth and the active weights read per token. Prefill estimates prompt processing separately.

Why results are ranges

Model architecture, kernels, prompt shape, thermals, batching and speculative-token acceptance all change real performance. Calibrated estimates show a conservative likely range instead of a fake exact benchmark.

Important interpretation

  • MoE models store all parameters but read only active experts during each token.
  • A second GPU may be required for memory without doubling single-user speed.
  • Long context mainly increases KV-cache use and time to first token.
  • Vendor TOPS are not tokens per second.

Primary reference points

Planning aid, not a purchase guarantee. Validate the shortlisted model, quantization and engine on the exact system before procurement.