Lambda alternative: the same GPU, priced by the month

The cloud arm of a company that has built GPU workstations and servers for a decade, with 1–8 GPU instances and a familiar ML image. Below: their published rates read on 19 September 2026, what they add up to over a full month, and the cases where Lambda is simply the better choice.

Lambda, one month of H100$2,913at $3.99/h × 730 h
GPU Cloud HQ, same GPU dedicated$1,249flat, fixed for your term
Difference−57%$1,664 a month

Price, GPU by GPU

Every model Lambda publishes that we also rent. Their rate is the standard on-demand tier — spot and preemptible tiers are cheaper and noted where they exist.

GPU	Lambda published rate	One month, 24/7	Our monthly	Difference
NVIDIA B200180 GB HBM3e	$6.69–$6.99/h depending on instance size	$4,884	$2,690	−45%
NVIDIA H100 SXM80 GB HBM3	$3.99–$4.29/h depending on instance size	$2,913	$1,249	−57%
NVIDIA A10080 GB HBM2e	$2.79/h (SXM 80 GB) · $1.99 PCIe 40 GB	$2,037	$649	−68%

Our price includes the dedicated CPU, RAM and NVMe listed on the pricing table, 20 TB of outbound transfer and a 99.9% SLA. Read on 19 September 2026 from lambda.ai.

An honest read

Both of these lists are real. Pick the column that describes your workload.

Where Lambda wins

Well-understood ML stack and documentation from people who build GPU hardware.
Clean, published on-demand pricing with no egress charges.
Reliable capacity for short runs without talking to anybody.

Choose Lambda if you want a well-trodden ML environment for a few days at a time and prefer a big name to a low price.

Where we win

One flat monthly invoice. No meter, no egress fee, no storage line item — the number is fixed for your whole term.
Single-tenant bare metal. The whole machine, with its CPU, RAM and NVMe, not a container beside someone else's job.
No KYC, paid in crypto. An email address, a prepaid balance in BTC, ETH or USDT, and renewals settle themselves.
Live in under 10 minutes, with a 99.9% SLA, 4-hour hardware replacement and engineers on call 24/7.

Choose us if the GPUs stay busy, you want the bill to be predictable, and you would rather not hand over an identity document to rent a computer.

The fine print, side by side

What to check	Lambda	GPU Cloud HQ
How you are billed	Per hour, card on file	Flat monthly price, prepaid balance, invoices settle themselves
Commitment	None on demand — long-term capacity handled by their team	Rolling month, or 3/6/12 months for 5–15% off
Signing up & identity	Self-serve for on-demand instances	Self-serve, email address only — no KYC
What you actually get	Virtual machines on shared hosts; 1, 2, 4 or 8 GPUs	Single-tenant bare metal, root access
Network	No egress fees advertised	10–25 Gbps dedicated, 20 TB egress included

Questions people actually ask

Is GPU Cloud HQ cheaper than Lambda?

For a machine that stays busy, yes: Lambda publishes $3.99–$4.29/h depending on instance size, which is $2,913 for a 730-hour month, against $1,249 flat here for a dedicated H100 — about 57% less. Below roughly 313 hours of use a month, their hourly rate works out cheaper.

What do I lose by leaving Lambda?

You want a well-trodden ML environment for a few days at a time and prefer a big name to a low price. If that is you, stay with them — we would rather say so than sell you the wrong thing.

Do I need an account or an identity check to compare?

No. Every price on this page is public on both sides. When you do order here, an email address is all we ask for: no ID document, no company registration, no card — the balance is funded in Bitcoin, Ether or USDT.

How current are these figures?

They were read on 19 September 2026 from Lambda's own pricing page (https://lambda.ai/service/gpu-cloud). Providers change prices without notice — the link is there so you can check today's figure yourself.

Other comparisons

Try the maths on your own workload

Every GPU is in stock, the price is public, and the first invoice settles from your balance in minutes.

Deploy a GPU See all prices