GPU Cloud HQDedicated, billed monthlyvsLambdaOn-demand cloud from a GPU builder
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 — formerly Lambda Labs — with 1–8 GPU instances and a familiar ML image. Below: their published rates read on 15 October 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.
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 15 October 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.
None on demand; 1-Click Clusters reserved from 2 weeks to 1 year
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
How you pay
Major credit cards only — prepaid and debit cards are declined
Bitcoin, Ether, USDT (ERC-20 / TRC-20) — no KYC, no card
What you actually get
Virtual machines with 1, 2, 4 or 8 GPUs
Single-tenant bare metal, root access
Network
No egress fees
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 (SXM) 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 15 October 2026 from Lambda's own pricing page (https://lambda.ai/instances). Providers change prices without notice — the link is there so you can check today's figure yourself.