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How we rank & score

NVIDIA · Blackwell · Layer 2

NVIDIA B200

The default frontier accelerator. If you have no specific reason to choose otherwise, this is what the market chose.

rent Rentable by the hour from multiple clouds; purchasable at scale.

Specifications

Memory
192 GB HBM3E
Bandwidth
8 TB/s
Compute
FP4 and FP8 sparse; vendor figures vary by configuration
Power
Up to 1,000 W per GPU in liquid-cooled configurations
Interconnect
NVLink 5
Software
CUDA
Form factor
accelerator
Workload
both

Verified 2026-09-06. Fields reading “not published” are exactly that — we do not estimate a figure a vendor withholds.

The catch

192 GB is less memory than AMD's MI355X at 288 GB, and for memory-bound inference that gap is the whole argument.

The economics

CUDA maturity is the real product. The chip is competitive; the software moat is why it wins procurement.

Cost per million tokens is the metric that decides most real purchases, and there is no neutral benchmark for it — every published figure comes from a company selling one side of the comparison. Read all of them, ours included, as claims rather than measurements.

The power question underneath this

A rack of frontier accelerators draws 120–200 kW against a 2026 average of about 27 kW, and the US grid interconnection queue exceeds 2,600 GW with waits approaching five years. Whether you can energise this part is now a harder question than whether you can buy it.

Layer 1 — Energy · The interconnection queue · Rack power density · Tokens per watt

Compared against

Related silicon

Sources

Macrostack does not sell silicon and takes no commission at this layer — there is no affiliate programme for compute, which is exactly why nobody publishes a neutral comparison of it.

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