BridgeScale unifies your AI infrastructure. Deploy cloud-native Kubernetes and Ray workflows across AWS, Azure, and GCP while routing heavy GPU training and inference to dedicated Neoclouds like Nebius—cutting compute costs by 35% to 65%.
End-to-end architecture, migration, and Go-To-Market execution across hyperscalers and specialized GPU clouds.
Connect existing AWS, Azure, or GCP VPCs with Nebius and CoreWeave clusters using secure, zero-egress-bottleneck pipelines.
Identify idle GPU spend, optimize spot vs. reserved H100/H200/B200 allocations, and cut inference costs by 35%–65%.
Launch and co-sell your AI SaaS product on AWS Marketplace and Microsoft Commercial Marketplace while running on Neocloud compute.
Purpose-built software layers to deploy, monitor, and scale AI workloads across any cloud.
Unified Kubernetes and Ray cluster manager supporting EKS, AKS, GKE, and Nebius Managed Kubernetes from a single dashboard.
One-click containerized templates for production RAG pipelines, vLLM inference endpoints, and distributed fine-tuning.
Real-time GPU price-to-performance routing and unified cross-cloud billing telemetry for engineering and finance leaders.
AI-focused neoclouds Nebius and CoreWeave undercut hyperscalers AWS, Azure, and GCP by roughly 35% to 65% on raw GPU compute. Compare published US on-demand list prices per GPU-hour below.
Ideal for prototypes, architecture benchmarks, and initial multi-cloud evaluation.
Deploy on BridgeScale Cloud or Bring Your Own Cloud (BYOC) across AWS, Azure, GCP, Nebius, and CoreWeave.
Dedicated NVIDIA HGX B200/H200 clusters, private VPC peering, and GTM co-sell support.
| GPU Model | AWS | Azure | Google Cloud (GCP) | CoreWeave | Nebius |
|---|---|---|---|---|---|
| NVIDIA B200 (180 GB) | $14.24 (p6-b200.48xlarge) | Not listed (GB200 at $27.04) | $8.06 (Flex-start only) | $8.60 (HGX B200) | $8.50 (HGX B200) |
| NVIDIA H200 (141 GB) | $7.91 (p5en.48xlarge) | $10.60–$13.78 (ND96isr_H200_v5) | $10.60 (a3-ultragpu-8g) | $6.31 (HGX H200) | $4.50–$5.40 (HGX H200) |
| NVIDIA H100 (80 GB) | $6.88 (p5.48xlarge) | $12.29 (ND96isr_H100_v5) | $11.06 (a3-highgpu-8g) | $6.16 (HGX H100) | $3.85–$4.50 (HGX H100) |
| NVIDIA A100 (80 GB) | $3.43 (p4de.24xlarge) | $4.10 (ND96amsr_A100_v4) | $5.07 (a2-ultragpu-1g) | $2.70 (A100 SXM) | Not listed on public sheet |
| NVIDIA L40S (48 GB) | $1.86 (g6e.xlarge) | Not offered | Not offered | $2.25 (L40S) | $1.55–$1.82 (L40S) |
Select your GPU tier, cluster size, and cloud provider to generate a printable PDF price sheet.
Interruptible workloads drop costs sharply across all providers. Nebius starts spot H100 and H200 instances as low as $0.79/GPU-hr, while CoreWeave lists spot H100s at $2.46/GPU-hr ($19.71/node). Hyperscaler spot rates on AWS and GCP typically reduce H100 costs to $3.69–$3.83/GPU-hr.
Committing to 1-year or 3-year reservations lowers hyperscaler rates by 30% to 60%. A 3-year Instance Savings Plan brings AWS B200 down from $14.24 to $5.35–$6.15/GPU-hr, and GCP 3-year CUDs lower B200 rates to $7.09/GPU-hr. CoreWeave offers 15% to 60% off list rates via multi-year contracts.
Hyperscalers charge standard outbound bandwidth fees plus ~$0.10/hr for EKS/AKS/GKE control planes. CoreWeave includes zero ingress, egress, or data transfer fees and prices block storage ~12% lower than Azure. Both CoreWeave and Nebius include free managed Kubernetes and InfiniBand interconnects.
Scale AI compute without diluting equity on massive upfront hardware deposits. BridgeScale helps startups and SMEs structure flexible payment terms across hyperscalers and neoclouds.
Because SMEs often lack the credit rating for "No Upfront" enterprise contracts—and want to avoid burning equity on upfront GPU deposits—specialized B2B fintech lenders bridge the gap by paying the cloud provider upfront while letting you pay monthly or quarterly.
All three hyperscalers allow you to lock in 1-year or 3-year Savings Plans, Reservations, or Committed Use Discounts (CUDs) for up to 55%–72% off on-demand rates.
Unlike hyperscalers, GPU-focused clouds rarely offer "No Upfront" multi-year deals to smaller buyers because they must finance expensive NVIDIA hardware upfront.
How AI startups and enterprise teams eliminate GPU waitlists and cut infrastructure burn.
Migrated high-throughput LLM inference from on-demand hyperscaler instances to Nebius H200 clusters while keeping user data on AWS S3.
Built a compliant hybrid Kubernetes control plane spanning Microsoft Azure and dedicated Neocloud GPUs in under 3 weeks.
Packaged an AI workflow template for AWS Marketplace co-selling, unlocking enterprise cloud commit budgets across East and West Coast accounts.
Product releases, multi-cloud GPU benchmarks, and live workshops.
New Terraform and Helm blueprints allow engineering teams to burst Kubernetes workloads between AWS/GCP and Nebius in minutes.
Download our latest engineering comparison covering B200/H200/H100 throughput, zero-egress networking, and total cost of ownership.
Join our solutions architects for a live walkthrough of hybrid RAG deployment across San Francisco, New York, and Indianapolis teams.
BridgeScale (BridgeScale Solutions LLC) bridges the gap between enterprise hyperscaler reliability and next-generation AI Neocloud performance.
Select your GPU tier, cluster size, and cloud provider to generate a printable PDF price sheet.
Interruptible workloads drop costs sharply across all providers. Nebius starts spot H100 and H200 instances as low as $0.79/GPU-hr, while CoreWeave lists spot H100s at $2.46/GPU-hr ($19.71/node). Hyperscaler spot rates on AWS and GCP typically reduce H100 costs to $3.69–$3.83/GPU-hr.
Committing to 1-year or 3-year reservations lowers hyperscaler rates by 30% to 60%. A 3-year Instance Savings Plan brings AWS B200 down from $14.24 to $5.35–$6.15/GPU-hr, and GCP 3-year CUDs lower B200 rates to $7.09/GPU-hr. CoreWeave offers 15% to 60% off list rates via multi-year contracts.
Hyperscalers charge standard outbound bandwidth fees plus ~$0.10/hr for EKS/AKS/GKE control planes. CoreWeave includes zero ingress, egress, or data transfer fees and prices block storage ~12% lower than Azure. Both CoreWeave and Nebius include free managed Kubernetes and InfiniBand interconnects.
Scale AI compute without diluting equity on massive upfront hardware deposits. BridgeScale helps startups and SMEs structure flexible payment terms across hyperscalers and neoclouds.
Because SMEs often lack the credit rating for "No Upfront" enterprise contracts—and want to avoid burning equity on upfront GPU deposits—specialized B2B fintech lenders bridge the gap by paying the cloud provider upfront while letting you pay monthly or quarterly.
All three hyperscalers allow you to lock in 1-year or 3-year Savings Plans, Reservations, or Committed Use Discounts (CUDs) for up to 55%–72% off on-demand rates.
Unlike hyperscalers, GPU-focused clouds rarely offer "No Upfront" multi-year deals to smaller buyers because they must finance expensive NVIDIA hardware upfront.
How AI startups and enterprise teams eliminate GPU waitlists and cut infrastructure burn.
Migrated high-throughput LLM inference from on-demand hyperscaler instances to Nebius H200 clusters while keeping user data on AWS S3.
Built a compliant hybrid Kubernetes control plane spanning Microsoft Azure and dedicated Neocloud GPUs in under 3 weeks.
Packaged an AI workflow template for AWS Marketplace co-selling, unlocking enterprise cloud commit budgets across East and West Coast accounts.
Product releases, multi-cloud GPU benchmarks, and live workshops.
New Terraform and Helm blueprints allow engineering teams to burst Kubernetes workloads between AWS/GCP and Nebius in minutes.
Download our latest engineering comparison covering B200/H200/H100 throughput, zero-egress networking, and total cost of ownership.
Join our solutions architects for a live walkthrough of hybrid RAG deployment across San Francisco, New York, and Indianapolis teams.
BridgeScale (BridgeScale Solutions LLC) bridges the gap between enterprise hyperscaler reliability and next-generation AI Neocloud performance.
We believe AI teams should never be trapped by proprietary cloud lock-in. Everything we build runs on open Kubernetes, Ray, and Docker standards.
Supporting fast-moving AI startups and Fortune 500 enterprises across every US time zone. Contact: [email protected]
30-minute live architecture & GPU pricing walkthrough with our Solutions & GTM team.
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