Compare
Nexpod vs Azure for GPU work.
H100 · €3.00 /GPU·hrscoped keys, € limitsprivate network per region
Teams running GPU work on Nexpod
Placeholder- Customer
- CUSTOMER
- customer
- Customer Co
- customer.ai
- CUSTOMER
GPU teams on Nexpod
Placeholder- Customer
- CUSTOMER
- customer
- Customer Co
- customer.ai
- CUSTOMER
Before you choose
Map the setup before the spend.
Moving a GPU workload is rarely only about the GPU. Work through this worksheet with your team before anyone signs.
- Role · gpu-operatorstart serversstop serverssee the bill
Identity and access
Decide how jobs authenticate, and who may start, stop and pay for GPU servers.
- private networkjobstorageGPU
Networking
Plan the virtual networks, private endpoints and storage a training job will need.
- Needed where you deploy8 / 32 GPUsconfirmed in writing: ?
Capacity
Confirm the GPU family and the volume you need are offered where you deploy.
- compute+storage+transfer+support= one number / month€ ____
Total cost
Fold compute, storage, transfer and support into one number per month.
Before you choose
Map the setup before the spend.
Moving a GPU workload is rarely only about the GPU. Work through this worksheet with your team before anyone signs.
- 01Identity and roles for GPU jobs scoped
- 02Virtual networks and endpoints planned
- 03GPU family offered in your region
- 04Quota or capacity confirmed in writing
- 05Storage, transfer and support priced
- 06Invoice currency and entity checked
Identity and access
Decide how jobs authenticate, and who may start, stop and pay for GPU servers.
Networking
Plan the virtual networks, private endpoints and storage a training job will need.
Capacity
Confirm the GPU family and the volume you need are offered where you deploy.
Total cost
Fold compute, storage, transfer and support into one number per month.
Why Nexpod
GPU servers, nothing in between.
Pricing
Euro rates, metered per second.
One on-demand rate per GPU-hour for each family, and a lower reserved one. The invoice matches the price you saw.Each family has one on-demand rate per GPU-hour and a lower reserved rate. You see the price before you deploy, and the invoice matches it.
Rates differ by region, instance size and term, so there is no single number to put here.
→ check Azure's own price list for your region
Azure rates differ by region, instance size and term. Check Azure's own price list for your region.
Placeholder quote. A customer who moved GPU work from Azure describes, in two plain sentences, what changed on the invoice and in the day-to-day.
Comparison
Azure and Nexpod, compared plainly.
Our answer on the left. On the right, the question for your Azure subscription.Our answer on the left. On the right, the question for your Azure subscription: VM size, region and agreement decide what you actually get.
- What you rent
- Whole 8-GPU server
- ?Which VM sizes come with eight GPUs?
- GPU families
- B300 · B200 · H200 · H100
- ?Which families are available in your region?
- Billing granularity
- Per second
- ?How is GPU time metered for your VM size?
- Invoice currency
- EUR
- ?Which currency does your agreement bill in?
- Egress from network storage
- None
- ?What does outbound data transfer cost you?
- Serverless GPU endpoints
- ?Which service runs autoscaling GPU endpoints?
- Multi-node clusters
- ?Which VM sizes join a multi-node fabric?
- Root over SSH on the node
- ?Root on the host, or inside a VM?
- Rate shown before you deploy
- ?Which rate applies under your agreement?
- What you rent
- Nexpod: Whole 8-GPU serverWhat to check on Azure: ?Which VM sizes come with eight GPUs?
- GPU families
- Nexpod: B300 · B200 · H200 · H100What to check on Azure: ?Which families are available in your region?
- Billing granularity
- Nexpod: Per secondWhat to check on Azure: ?How is GPU time metered for your VM size?
- Invoice currency
- Nexpod: EURWhat to check on Azure: ?Which currency does your agreement bill in?
- Egress from network storage
- Nexpod: NoneWhat to check on Azure: ?What does outbound data transfer cost you?
- Serverless GPU endpoints
- Nexpod:What to check on Azure: ?Which service runs autoscaling GPU endpoints?
- Multi-node clusters
- Nexpod:What to check on Azure: ?Which VM sizes join a multi-node fabric?
- Root over SSH on the node
- Nexpod:What to check on Azure: ?Root on the host, or inside a VM?
- Rate shown before you deploy
- Nexpod:What to check on Azure: ?Which rate applies under your agreement?
Workload fit
Use each cloud for what it does best.
Keeping identity and apps on one cloud while GPU jobs run on another is a common, sensible split.
Nexpod fits when
- You need raw GPU time for training, inference or batch jobs.
- You want the same rate every hour of the day.
- You want invoices in euros from an EU-billed provider.
- You want root on the machine and nothing between you and the GPU.
Azure may fit better when
- Your identity, security and compliance tooling runs through Microsoft.
- Your apps already depend on other Azure services in the same region.
- An enterprise agreement already covers the spend.
Talk to an engineer
Talk it through in 15 minutes.
Share the GPU workloads you run on Azure. An engineer sizes them on Nexpod servers and quotes in euros within a working day.Share the GPU workloads you run on Azure today. A Nexpod engineer sizes them on our servers and sends a quote in euros within one working day.
Try it on one workload
Keep your stack. Move the GPU work.
Leave identity, apps and data where they are, and send the GPU jobs to Nexpod through the API.
- B300· 288 GB HBM3e€6.00/GPU·hr
- B200· 180 GB HBM3e€5.00/GPU·hr
- H200· 141 GB HBM3e€4.00/GPU·hr
- H100· 80 GB HBM3€3.00/GPU·hr