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Good for: The largest training and serving jobs — frontier-class memory and bandwidth.
Not good for: Very costly for small jobs — best value only on big work.
Good for: Big training jobs and heavy serving — the strongest all-round card on this board.
Not good for: Frontier training money. If your job fits on anything cheaper, a B200 is budget burned for a spec sheet.
Good for: 70B+ serving and serious fine-tunes — H100 speed with far more memory.
Not good for: More card than most jobs need; the main trap is paying for it on small work.
Good for: High-throughput serving and training — FP8 and the fastest memory in the Hopper family.
Not good for: Pays off only when the card stays busy; on bursty work you pay H100 rent for idle silicon.
Good for: The same high-throughput Hopper serving and training, from providers that sell the HGX card without splitting variants.
Not good for: Pays off only when kept busy — avoid it for bursty development work.
Good for: Single-card work where NVLink would sit unused — same silicon, lower price.
Not good for: No NVLink, and lower power than the SXM — slower when cards must work together.
Good for: Hyperstack's own label for its NVLink-linked PCIe-form H100 — priced between its PCIe and SXM cards.
Not good for: One provider's label, published alongside its plainer “H100 PCIe” — check which card you are actually booking.
Good for: 94GB of HBM — the H100 for models that nearly fit on 80GB.
Not good for: Sold as linked pairs, not as a lone card.
Good for: The honest workhorse — proven, plentiful, and the safe pair of hands for older stacks.
Not good for: An older generation — no FP8, so the newer speed tricks for serving don't apply.
Good for: Entry-price A100 — fits 32B-class work in INT4 with honest KV-cache budgeting.
Not good for: The 40GB fills up quickly on larger models.
Good for: 7B–32B serving and image work — sub-$1/hr with datacenter manners. Our all-rounder.
Not good for: 70B at FP16 does not fit, and no flag fixes that. Weak at double-precision maths; no NVLink.
Good for: The L40S's slower sibling — the same 48GB for lighter serving and image work.
Not good for: Weak at double-precision maths — not the card for scientific computing. No NVLink.
Good for: Prototyping and image generation for almost nothing — the cheapest useful card on the board.
Not good for: 24GB fills up fast on big models. No NVLink, so two cards can't pool memory — and it is a gaming card at heart.
Good for: Fast 32GB experiments on a budget — 32B in INT4 fits.
Not good for: No NVLink, so two cards can't pool memory. A consumer card — driver and ECC behaviour matter for production serving.
Good for: 70B on ONE card — the most VRAM per dollar on this board. Our sleeper pick.
Not good for: No NVLink scale-out; strong all-round, but the Max-Q version (listed separately) runs slower.
Good for: Nearly the full card's 96GB-class memory at a new-marketplace price.
Not good for: This is the Max-Q version: it runs at lower power and is slower than the full card.
Good for: CPU and GPU on one coherent fabric — a specialist pick for workloads built for it.
Not good for: Its processor is ARM, not the usual x86 — some software needs changes to run on it.
Good for: 48GB workstation card at the lowest hourly rate on this board.
Not good for: An older generation — no FP8, so the newer speed tricks for serving don't apply.
Good for: Rack-scale systems for the largest training programmes.
Not good for: A whole 72-GPU rack — far more than ordinary hourly work needs, and not a card for small jobs.
Good for: Rack-scale systems for the largest training programmes.
Not good for: Quote only, and a whole rack — far more than ordinary hourly work needs.
This board holds 176 verified prices from 15 providers across 20 GPU variants, last checked Nov 15, 2026. Every figure is read from the provider's own published pages — How we price. Node offers are shown by their total price first, with the per-GPU equivalent second.
The stories behind these prices — the News Desk
The journal half of the page, still working with the board: every story states what happened, names its sources, and carries the rental action it points to — the model it sizes, or the prices it moves.

