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Nvidia’s Blackwell B200 systems sell out amid strong demand, and crypto compute networks are paying attention

Nvidia's Blackwell B200 GPU systems are sold out with a 12-month backlog, and CEO Jensen Huang said sales are 'off the charts.' Complete 8x B200 server systems are quoted above $500,000, with individual B200 GPUs priced at $45,000 to $50,000. Akash Network plans to integrate B200 and B300 GPUs into its decentralized Supercloud, offering competitive compute without the wait.

read1 min views1 publishedAug 5, 2026
Nvidia’s Blackwell B200 systems sell out amid strong demand, and crypto compute networks are paying attention
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Via nvidia.com

The GPU giant's next-gen chips are booked solid, creating ripple effects across decentralized AI infrastructure projects hungry for compute power.

Nvidia’s Blackwell B200 GPU systems are sold out, with backlog stretching as far as 12 months. Customers are reportedly placing orders for 100,000 GPUs at a time.

CEO Jensen Huang has described Blackwell sales as “off the charts,” confirming that cloud GPU capacity is fully sold out through at least the 2025 earnings period. This is the same pattern that played out with Nvidia’s previous Hopper-generation H100 chips.

The numbers behind the frenzy #

Complete 8x B200 server systems are being quoted above $500,000. Individual B200 GPUs carry price tags in the $45,000 to $50,000 range.

Blackwell systems achieve inference costs of roughly $0.02 per million tokens, representing a substantial cost reduction compared to previous GPU generations.

Where crypto enters the picture #

Akash Network announced plans in August 2025 to integrate Nvidia’s Blackwell B200 and B300 GPUs into its decentralized Supercloud, allowing users to access top-tier AI hardware on-chain through a token-driven marketplace.

The economics of Blackwell systems, specifically that $0.02-per-million-tokens inference cost, create a value proposition for decentralized providers who can offer comparable compute at competitive prices without the 12-month wait.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our

Editorial Policy.

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