ScitiX is not an easy sell on GPU price: verified H100 hours run $1.50–$12.41 across official providers, and ScitiX publishes no comparable rate

Asked (summary)

Thinking of joining scitix.ai/gpu-cloud as an enterprise AE — is this competitive pricing and easy to sell?

Evidence: 100 official price rows from AWS, CoreWeave, Google, Lambda, Nebius and Crusoe (deduplicated to 42 distinct offers, normalized to USD per GPU-hour by dividing cluster prices by GPU count), plus 44 ScitiX offer extractions and 30 company-signal extractions. No verified ScitiX per-GPU-hour price was found on the linked page; its public claims trace largely to one syndicated press release. Research date: 10 September 2026.

Benchmark: what one GPU-hour costs at official providers

On-demand Spot Reserved / capacity block Promotional Flagged / ambiguous (unit or GPU count unclear)

Hover a dot for the exact SKU, GPU count and region. One AWS SageMaker B200 row ($113.67 per instance-hour, GPU count unstated) is excluded from the chart as non-normalizable; it appears flagged in the table.

What the numbers say

H100 on-demand spans $1.50 (Nebius no-commitment) to $12.41 per GPU-hour (Google H100 Mega) — an 8× spread inside "official" pricing alone, so any ScitiX quote must state SKU, term and region before it can be called cheap. nebius.com
CoreWeave spot cuts its own on-demand by roughly 60%: H100 $2.44 vs $6.16, H200 $2.58 vs $6.31, B200 $4.26 vs $8.60 per GPU-hour — spot and on-demand must never sit in the same comparison column. coreweave.com
ScitiX's own site claims "30–40% lower cost" but publishes no per-GPU-hour rate; a Singapore accelerator lists a 12-months-for-the-price-of-11 contract, and one outlet cites per-token inference prices instead. Opaque pricing is itself a sales-friction signal. scitix.ai
ScitiX's traction claims — 1 trillion tokens daily, ~1s time-to-first-token, >90% cache hit, 99.9% uptime, RadixArk/SGLang as customer — appear across ~28 domains but trace to one press release, which itself says the metrics "do not constitute service-level guarantees". aijourn.com

Sellability scorecard

Weak

Raw GPU price competitiveness

No verified public per-GPU-hour rate. Nebius and Lambda already sell H100 at $1.50–$3.99; competing on sticker price against them is a losing pitch without a proven price book.
Weak

Independent proof

One named user (RadixArk); traction figures are self-reported, syndicated, and explicitly disclaimed as non-guarantees. No audited references in the data.
Credible

Differentiated enterprise inference

Owned B200/H200/H100 fleet, dedicated tenancy, zero-retention, model routing and fallback, context reuse, audit logs, 99.9% uptime SLA — a managed-platform story, not commodity rental.
Unproven

Company maturity

A company database lists ScitiX as unfunded, founded 2025, Singapore-based, while press releases date it San Francisco; a job post signals it is only now hiring its first US technical hire.

Verdict and interview diligence checklist

High-risk, high-upside. Join only if management can show at least 2–3 referenceable enterprise customers, deliverable GPU inventory, and a quota built on current — not planned — capacity. Verify before signing:

All 42 normalized benchmark offers

ProviderGPUSKU as listed$ / GPU-hrGPUsTypeRegionSource

Method: 100 official-provider price rows collected 2026-09-10 from AWS, CoreWeave, Google/Google Cloud, Lambda, Nebius and Crusoe pricing pages, deduplicated to 42 distinct offers; cluster and instance prices divided by stated GPU count to get USD per GPU-hour. Spot, on-demand, reserved/capacity-block and promotional offers are kept separate; rows with unclear unit or GPU count (GKE management fees, Colab compute-unit conversions, a SageMaker instance price) are flagged, not treated as full GPU cost. ScitiX claims come from 44 offer and 30 company extractions dominated by one syndicated press release; no verified ScitiX GPU-hour price exists in the data. Prices are indicative and exclude storage, networking and egress.

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