AI training
& fine-tuning
Match model size and training goals to GPU memory, interconnects, and the time you have to finish.
Memory · Cluster scale · ThroughputGPU AS A SERVICE. HUMAN ADVICE.
GPU capacity that fits.
A provider that grows with you.
Compare providers, validate delivery and performance, and understand the terms before you commit. We help turn your workload and growth plans into a practical path forward.
30 minutes. Your requirements. No cost for our advisory services.
COMPUTE WITH CONFIDENCE01 / GPU CLOUD
BUILT AROUND YOUR WORKLOAD
More than a GPU.
The right environment.
An advisor on your side.
From requirements to provider selection.
Workload fitCost clarityProvider choice
Specialized guidance.
A connected advisory portfolio.
01 / START WITH THE WORKLOAD
What are you
building next?
The best GPU cloud starts with what you need to run. We help translate your goals into infrastructure requirements providers can actually quote.
AI training
Production AI
& inference
Plan for response time, concurrent requests, and dependable serving as usage grows.
Latency · Concurrency · ScalingRendering
& visualization
Source compute for rendering, 3D workloads, and graphics applications without buying for every peak.
Software fit · Burst capacity · I/OResearch
& simulation
Align GPU architecture and precision with scientific computing, simulation, and batch jobs.
Precision · Job duration · Data flowStill defining the project? That’s a good time to talk.
Work through it with an advisor03 / EXPLORE THE PROVIDER LANDSCAPE
Meet the GPU
cloud specialists.
Neoclouds specialize in GPU and AI infrastructure. Explore providers such as Edgevana and the platforms below, then work with an advisor to build a shortlist around your workload, region, and budget.
Dedicated GPU infrastructure
Edgevana
GPU-as-a-service and dedicated AI clusters, with bare-metal, Kubernetes, and Slurm deployment options for training and inference.
What to discussDeployment location, hardware control, and cluster requirements.
Discuss EdgevanaAI cloud at cluster scale
CoreWeave
A GPU cloud built around a Kubernetes-native environment, with compute, storage, networking, and managed services for AI workloads.
What to discussCluster scale, storage performance, and operational support.
Discuss CoreWeaveAI infrastructure & managed services
Nebius
An AI cloud spanning GPU infrastructure, developer tooling, and managed inference for teams moving from experimentation to production.
What to discussTraining and inference needs, tooling, and deployment regions.
Discuss NebiusGPU instances & clusters
Lambda
GPU instances, 1-Click Clusters, and dedicated Superclusters for AI development, distributed training, and inference.
What to discussInstance versus cluster needs, orchestration, and capacity planning.
Discuss LambdaAI cloud & managed orchestration
Crusoe
GPU compute with accelerated storage and networking, plus managed Kubernetes and Slurm options for AI infrastructure.
What to discussNetworking, orchestration, and ongoing infrastructure operations.
Discuss CrusoeGPU development & serverless inference
Runpod
GPU Pods, autoscaling Serverless endpoints, and multi-GPU Clusters for development, training, and production inference.
What to discussPersistent versus serverless compute, scaling, and workload patterns.
Discuss RunpodPrivate GPU cloud for regulated AI
STN
GPU One offers reserved, single-tenant NVIDIA H200, B200, B300, and GB300 capacity, with SOC 2, HIPAA, and PCI DSS compliance listed.
What to discussCompliance needs, contract length, and cluster size.
Discuss STNHigh-density colocation for your GPUs
TierPoint
Colocation for customer-owned AI hardware, with rack densities above 130 kW using direct-to-chip and liquid-air cooling.
What to discussOwning versus renting, power per rack, and cooling. GPU colocation guide →
Discuss TierPointSee delivery models and questions to ask each provider.
Compare GPU cloud providersA starting point for your evaluation, not a provider ranking. Provider names link to their official websites. We confirm current offerings, availability, and commercial fit as part of your shortlist. Compare published pricing →
04 / PUT PRICING IN CONTEXT
Published GPU rates.
A clearer starting point.
Explore H100, H200 and B200 offers with sources, configurations and billing terms. Use the provider directory to compare company fit, locations and customer examples.
Exploring H100 or building a broader GPU budget?
View H100 pricing and cost guideLOOK BEYOND THE HOURLY RATE
A faster GPU isn’t always
a better business decision.
Compare the cost of completing your workload, with the performance and support you need. We help put competing proposals on the same basis.
01
Compute that fitsMemory, GPU count, interconnects, and measured workload performance.
02
The complete costCompute, storage, data transfer, software, support, and idle capacity.
03
Terms you can operate withCapacity assurance, service commitments, security requirements, and exit options.
05 / A CLEARER WAY FORWARD
Expert guidance.
Grounded in your requirements.
You bring the project. We help make the infrastructure decision manageable, from the first conversation to comparing provider proposals.
- 01
Define what matters.
Talk through your workload, current environment, budget, location, and timeline. You don’t need every specification figured out.
- 02
Build a practical shortlist.
Identify deployment models and providers worth evaluating. Check workload fit, operating responsibilities, and capacity with the providers.
- 03
Compare. Validate. Decide.
Review proposals, clarify the full cost, and define any benchmark or proof of concept needed before you commit.
Advice with a wider view. GPU Cloud Advisors is operated by Foretel Solutions, Inc., an authorized Bridgepointe Technologies partner. Our advisory services are provided at no cost to you. We’re compensated by whichever provider you choose through us. Your provider’s infrastructure charges and contract terms are separate.
WHY WORK WITH US
Powered by
Bridgepointe Technologies.
GPU Cloud Advisors is powered by Bridgepointe Technologies, a technology advisory firm since 2002. You get one advisor, the research on this site, and the provider relationships behind it.
Bridgepointe clients include
- NVIDIA
- Salesforce
- Adobe
- Uber
- Netflix
- Airbnb
- Roblox
- CrowdStrike
- Sony
- PayPal
- Mastercard
75+ Fortune 500 clients
Including more than 20 of the Fortune 100, with 97% client satisfaction.
1,200+ data center and cloud projects
Requirements assessed, capacity sourced and providers selected.
Terms, not just the rate
We negotiate ramp schedules, early billing and expansion terms, so you aren’t paying for capacity before your workload can use it.
One requirement, every fit
Bridgepointe partners with 380+ technology providers. We take one requirement to the providers that fit it and bring back a side-by-side comparison you can actually decide from.
Case study: Bridgepointe helped Hive, an AI company, choose data center and connectivity providers across 15 projects, saving its team at least 180 hours. Ask us for the case study
LET’S PLAN YOUR GPU PROJECT
Tell us what
you need.
Two short steps. Tell us what you’re building and an advisor will help you evaluate providers, confirm capacity requirements, and plan the support you need to get into production.
Not sure which GPU or how many you need? Start with your workload and what could change.
Our advisory services are free to you. We’re compensated by whichever provider you choose through us.
What we’ll work through with you
- A provider shortlist suited to your workload and location.
- Initial capacity, expansion needs and delivery timing to confirm.
- Total cost, commitment terms and deployment support to compare.
Thanks. Your project request is in.
An advisor will review your requirements and follow up using the contact details you provided.
You can also choose a time to talk below.
Prefer to talk it through? Book a free 30-minute consultation or call 844-506-2299.
What is GPU as a service?
GPU as a service gives you access to GPU compute through a provider instead of purchasing and hosting the hardware yourself. Services range from virtual machines and dedicated clusters to managed AI platforms. Billing, control, capacity commitments, and support vary by provider. Read the GPUaaS explainer for a plain-English introduction.
Can you help if we don’t know which GPU we need?
Yes. Start with the workload: model or application, data size, response-time needs, and expected usage. We’ll help turn that into a set of requirements and identify where benchmarking is needed. GPU memory, software compatibility, and the surrounding infrastructure matter alongside the GPU model.
Do you sell GPU capacity directly?
We’re an advisory resource. We help you evaluate options and connect with providers for proposals. The provider confirms capacity, pricing, technical suitability, and contract terms. This website is not a live inventory or instant quoting service.
How much do your advisory services cost?
There is no cost to you for our advisory services, and no obligation to choose a provider. We’re compensated by whichever provider you select through us. You pay your chosen provider for the infrastructure and services you purchase under your agreement with them.
Can you review a quote we already have?
Yes. Bring the proposal and any workload assumptions behind it. We can help identify missing costs, clarify capacity commitments and support, and determine which alternatives deserve a closer look.
Can we compare GPU cloud with owning our hardware?
Yes. We can discuss the tradeoffs between renting compute and owning GPUs, including utilization, staffing, power, cooling, connectivity, and refresh cycles. For facility requirements, our Colocation Scout GPU guide is a useful starting point.
How we frame the technical comparison
Our comparison focuses on workload requirements rather than a universal provider ranking. Useful primary references include NVIDIA’s model and memory guidance, AWS accelerated computing specifications, AWS purchasing options, and cloud pricing fundamentals. These examples inform the evaluation criteria; they are not a complete provider list or an endorsement. Verify current features, availability, and terms with the provider.