Nebius Lifts On-Demand GPU Prices Up to 21% From 1 October

Nebius’s price page, read on 8 October 2026, lists higher on-demand GPU-hour prices in a column headed “GPU-hour (Effective October 1, 2026)” than in its “On-demand, GPU-hour” column for its NVIDIA HGX H100, H200, B200 and B300 instances. NVIDIA HGX H100 goes from $3.85 to $4.50 per GPU-hour and HGX B300 from $7.85 to $9.50.

On our arithmetic, the increases are about 17% for H100, 20% for H200, 19% for B200 and 21% for B300.

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The key insight: As we read it, the increases fall on the GPUs Nebius lists by the hour for training and serving models, and include the oldest generation on its page. H100 rises by about 17% and B300 by about 21% on our arithmetic, while the RTX PRO 6000 and L40S lines do not change.

The Price Table

The page lists NVIDIA HGX H200 at $4.50 in the on-demand column and $5.40 in the column effective 1 October, and NVIDIA HGX B200 at $7.15 and $8.50.

Not everything moves. NVIDIA RTX PRO 6000 is $1.80 in both columns, and the L40S instances are listed from $1.55 with Intel CPUs and from $1.82 with AMD CPUs in both. GB200 NVL72 and GB300 NVL72 are listed as “Contact us”.

Preemptible, or spot, prices on the same page start from $0.99 per GPU-hour for B300 and B200 and from $0.79 for H200, H100 and RTX PRO 6000; that table has no separate column for 1 October.

Nebius on-demand prices per GPU-hour, as listed on its price page read on 8 October 2026: the 'On-demand, GPU-
Nebius on-demand prices per GPU-hour, as listed on its price page read on 8 October 2026: the ‘On-demand, GPU-hour’ column versus the ‘GPU-hour (Effective October 1, 2026)’ column. H100 $3.85 vs $4.50; H200 $4.50 vs $5.40; B200 $7.15 vs $8.50; B300 $7.85 vs $9.50.
Percentage change in Nebius on-demand GPU-hour prices by GPU
Change from Nebius’s on-demand column to its column effective 1 October 2026, our arithmetic: H100 +16.9%, H200 +20%, B200 +18.9%, B300 +21.0%.

CPU Instances Too

The page shows the same two-column layout for CPU-only instances: AMD EPYC Genoa from $0.10 per hour in the current column and from $0.13 in the column effective 1 October, and Intel Ice Lake from $0.05 and from $0.06.

On our arithmetic, that is about 30% for the Genoa starting price and 20% for Ice Lake.

What It Means for a Full Day

On our arithmetic from the listed per-GPU-hour prices, eight H100s for 24 hours cost $864 at the 1 October rate, against $739.20 at the rate in the on-demand column. Eight B300s for 24 hours come to $1,824, against $1,507.20.

The page lists each GPU-hour with its vCPU and memory allocation: 16 vCPUs and 200 GB of RAM for H100 and H200, 20 vCPUs and 224 GB for B200, and 24 vCPUs and 346 GB for B300.

On-Demand Against Spot

The gap to the preemptible floor widens with the new rates. On our arithmetic, the 1 October on-demand price is about 5.7 times the spot starting price for H100, 6.8 times for H200, 8.6 times for B200 and 9.6 times for B300.

The page lists the spot prices under a separate heading, “Preemptible NVIDIA GPU Instances”, from the on-demand table, so the two are different classes of instance rather than two prices for the same one.

The Structural Read

The top of the range is not on the price list. GB200 NVL72 and GB300 NVL72 are listed as “Contact us”, so the largest systems are priced privately.

The cheap option is still there, but further away. Spot prices start from $0.79 for H100 and $0.99 for B300, which puts the new on-demand rates at about 5.7 and 9.6 times those floors on our arithmetic.

CPU instances move as well. The page lists AMD EPYC Genoa from $0.13 per hour in the column effective 1 October, against from $0.10.

Nebius price page, column heading

“GPU-hour (Effective October 1, 2026)”

Three Implications

HIGHER LIST RATES H100 is $4.50 and B300 $9.50 per GPU-hour in the column effective 1 October, per Nebius’s page.

UNCHANGED LINES RTX PRO 6000 stays at $1.80 and the L40S instances are unchanged, per the page.

A WIDER SPOT GAP The new on-demand rates are about 5.7 to 9.6 times the spot starting prices, on our arithmetic.

The Business Engineer Lens

This story maps onto the Business Engineer framework Tokenomics: The Economics of AI.

The framework’s starting point: “It is simultaneously the unit of cognition the model produces, the unit of compute the data center serves, the unit of price the lab charges, and the unit of value the enterprise extracts.”

As we read it, a GPU-hour sits underneath the second of those roles: it is what a cloud charges for the compute that produces tokens. When the list price of that hour rises, the cost under every token served on rented on-demand capacity rises with it, before any change in what the lab or the enterprise sees.

What Is Not Established

We read Nebius’s public price page on 8 October 2026. The page does not give a reason for the new prices or say how many customers pay list prices rather than contracted rates, and these are one provider’s list prices, not a market index. We did not contact Nebius.

Business Engineer Framework

Tokenomics: The Economics of AI

A Business Engineer framework on the token as the unit of compute, price and value across the AI stack.

Read the Map of AI →

The Bottom Line

Nebius’s price page lists on-demand prices effective 1 October 2026 that are about 17% to 21% higher across H100, H200, B200 and B300 on our arithmetic, with H100 at $4.50 and B300 at $9.50 per GPU-hour, while RTX PRO 6000 and L40S prices are unchanged.

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A note on sourcing. We read Nebius’s public price page on 8 October 2026. Prices are Nebius’s list prices; percentage changes, day costs and ratios are our arithmetic. We did not contact Nebius. Nothing here is a forecast, and nothing here is financial or investment advice.

Sources: Nebius: NVIDIA GPU Pricing page (read 8 Oct 2026)

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