GPU cloud · India, the EU and the US
Dedicated NVIDIA GPUs,from H100 to B300
Dedicated 8-GPU nodes for training and inference, sourced across more than ten partner providers. One quote, at the same price as going direct or lower; you run the stack, we keep the hardware running.
From $2.95 per GPU-hour · One-year term · Quote usually within one working day
Available now
Per GPU-hour, from · dedicated 8-GPU nodes · one-year minimum
Floor rates in USD on our longest term; shorter terms cost more. Minimum one 8-GPU node on a one-year commitment. Your rate depends on region, term and node count, and is confirmed in writing before you commit.
Coming soon · register interest
Coming soon
NVIDIA Vera Rubin
Rubin GPU · Vera CPU · NVLink 6
Pricing to be announced
288 GB HBM4 per GPU
Coming soon
NVIDIA RTX PRO 6000
Blackwell Server Edition · PCIe
Pricing to be announced
96 GB GDDR7 per GPU
Why go through FlexiCloud
One relationship. More than ten providers behind it.
We are not another GPU provider. We are the independent layer above them: we find the right node across our partner network, deliver it as dedicated bare metal, and keep the hardware running for the term.
One quote across the network
Describe the workload once. We check it against capacity across our partners in India, the EU and the US, and come back with real options, not ten sales calls.
Same price as going direct, or lower
Providers pay our commission out of their own sales budget, so nothing is added to your rate. And because we place volume across the network, we know where the real floor is.
Priority on scarce parts
A request through us carries our volume and standing with the provider. When B300 and B200 allocation is tight, that moves you up the queue.
Live inventory, not one data centre
We see what partners actually have this week, under NDA, region by region. If one is full, another may have exactly what you need. Capacity we cannot verify is never offered.
Your plans stay private
We scope your requirement in confidence and approach only the providers likely to fit it. Your roadmap is not broadcast to ten sales teams.
One contact, little to no upselling
One person whose job is the right node at the right price, and an engineer on the hardware for the whole term. We have no platform of our own to push.
Terms
How GPU nodes are sold
Dedicated infrastructure on a term, not hourly spot instances. The terms are simple, and they are the same for every GPU available today.
Minimum order
One node of 8 GPUs
The unit is a full 8-GPU SXM node with NVLink between the GPUs, single tenant and dedicated to you. Need more? Add whole nodes; multi-node clusters get a dedicated InfiniBand fabric, priced on request.
- Bare metal with root access
- Your OS, drivers, CUDA and orchestration
- Hardware monitored, failures handled by us
Term and price
One-year minimum, fixed rate
The rate shown for each GPU is the floor, on our longest term; shorter terms cost more. Your rate depends on region, term and node count, and is confirmed in writing before you commit. No burst pricing, no surprise bills.
- One-year minimum commitment
- Longer terms priced lower
- Quote in writing before you sign
Regions and lead time
India, the EU and the US
Capacity is allocated per region on a first-committed basis. Tell us where the data has to live and we confirm availability and the lead time to a live node before you sign anything.
- India: for domestic data residency
- European Union: for EU-resident data and teams
- United States: for US-based workloads
- Lead time in writing, per region
Get a quote
Get GPU pricing and availability from across the network
Leave a name and a number or email. We call you back with real options for your GPU, region and term, usually within one working day.
Questions
What GPU buyers ask before they commit
Four, each as a dedicated 8-GPU SXM node in India, the EU or the US: the B300 with 288 GB of HBM3e per GPU, the B200 with 192 GB of HBM3e, the H200 with 141 GB of HBM3e and the H100 with 80 GB of HBM3. NVIDIA Vera Rubin and the RTX PRO 6000 Blackwell Server Edition are coming soon, and you can register interest in either now.
Rates start at $2.95 per GPU-hour for the H100, $3.35 for the H200, $3.75 for the B200 and $4.50 for the B300. Those are floor rates in USD on our longest term; shorter terms cost more. Your exact rate depends on the GPU, region, term and number of nodes, and we confirm it in writing before you commit.
No. The unit is a full node of 8 GPUs, because the GPUs share NVLink and are allocated together, and the minimum term is one year. Prices are quoted per GPU-hour so they are easy to compare, but this is dedicated bare metal reserved for you, not an on-demand or spot instance. More capacity is added in whole nodes, and longer terms are priced lower.
It depends on the GPU and the region, so we do not publish a lead time we cannot stand behind. Because we see live capacity across our partner providers, we can usually tell you within one working day what is available and how soon, and we put the lead time in writing before you commit. The H100 is the most widely available; B300 allocation is the tightest, so ask early.
One relationship instead of ten sales conversations. We work with more than ten GPU providers in India, the EU and the US, so one request is checked against live inventory across all of them; our volume gets you priority on scarce parts; you are not tied to one data centre or region; and your requirement is not broadcast to ten sales teams. Providers pay our commission out of their own sales budget, not as a markup on your rate, so going through us costs the same as going direct or less.
Not today. Every node we offer runs on our partners’ hardware, which is why we can quote across more than ten providers. We are working with partners towards deploying some FlexiCloud-owned capacity in a few locations. When that happens, it will be quoted alongside partner options in exactly the same way, and you will always know whose hardware you are on.
FlexiCloud sources the node, delivers it to you as dedicated, single-tenant bare metal with root access, and keeps the hardware running for the term: GPU health and interconnect monitored, failures handled, and an engineer you can reach. The OS, drivers, CUDA, containers and orchestration are yours to run.
Both are coming soon to FlexiCloud, with pricing to be announced. NVIDIA says Vera Rubin is in full production, with its first racks running at large cloud and AI-infrastructure partners; we expect wider availability through our partner network in 2027. The RTX PRO 6000 Blackwell Server Edition, with 96 GB of GDDR7 per GPU, already ships from NVIDIA, and we are finalising our offer for it. Register interest on either page and we will come to you first. If you need compute now, the B300, B200, H200 and H100 are available today.
Yes. Managed cloud hosting on DigitalOcean, Vultr, Hetzner and Linode, shared hosting and the FlexiCloud Panel carry on as before, with free migration and the same team. You will find it all on our managed cloud hosting page.
Offering GPU capacity?
We act as an extended sales team for GPU owners: we qualify buyers and bring them to you ready to talk, with your details shared only under NDA. No listing fees; commission only when a deal closes.
Before you choose
Choosing a GPU, and how to buy one
How the broker model works, how the GPU generations compare, whether your model fits, and whether to rent, buy or use an API at all.
Renting GPUs: why going through FlexiCloud beats going direct
We partner with more than ten GPU providers in India, the EU and the US, so you do not have to. Here is what that gets you: better pricing, priority on scarce GPUs, live inventory across datacentres and regions, privacy, and one honest point of contact instead of ten sales teams.
Read itHopper vs Blackwell: NVIDIA’s GPU generations compared
NVIDIA’s Hopper (H100, H200) and Blackwell (B200, B300) generations compared: memory, architecture, interconnect, power and price, and a practical guide to which one actually fits your AI workload.
Read itWill your model fit? A practical guide to GPU memory for AI
Whether your model fits is arithmetic, not a benchmark. The bytes-per-parameter maths for inference and training, the levers that shrink it (quantization, LoRA, checkpointing), and a back-of-envelope guide to size any job, mapped to what fits on a B300.
Read itRent GPUs, buy your own, or use an API? A guide for teams building on AI
Pay-per-token API, buy your own GPUs, or rent bare-metal nodes? The right answer is about utilisation and control, not hype. A fair look at all three, and a simple way to decide which your workload actually needs.
Read it
Tell us the GPU, how many nodes and the region
We come back with real options from across our network, usually within one working day, with the price and lead time in writing before you commit to anything.