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Compare GPU and LLM inference API pricing between Bentaus and Google Cloud. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Bentaus Price | Google Cloud Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Google Cloud | Not Available | 16x GPU | — | |
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Bentaus | 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | Not Available | — | ||
L4 24GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Google Cloud | Not Available | 2x GPU | — | |
RTX PRO 6000 96GB VRAM • | ||||
Tesla T4 16GB VRAM • Google Cloud | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
A100 SXM 80GB VRAM • Google Cloud | Not Available | 16x GPU | — | |
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Google Cloud | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Bentaus | 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | Not Available | — | ||
L4 24GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Google Cloud | Not Available | 2x GPU | — | |
RTX PRO 6000 96GB VRAM • | ||||
Tesla T4 16GB VRAM • Google Cloud | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
| Model ↑ | Bentaus | Google Cloud | Input Diff ↕ |
|---|---|---|---|
Google | Not available | $0.150 in $0.600 out | — |
Google | Not available | $0.075 in $0.300 out | — |
Google | Not available | $0.300 in $2.50 out | — |
Google | Not available | $0.100 in $0.400 out | — |
Google | Not available | $1.25 in $10.00 out | — |
Google | Not available | $0.500 in $3.00 out | — |
Google | Not available | $0.250 in $1.50 out | — |
Google | Not available | $2.00 in $12.00 out | — |
Google | Not available | $1.50 in $9.00 out | — |
Google | Not available | $0.300 in $2.50 out | — |
Google | Not available | $0.750 in $3.75 out | — |
Google | Not available | $0.750 in $3.75 out | — |
Google | Not available | $0.750 in $3.75 out | — |
Explore how these providers compare to other popular GPU cloud services
Compare Bentaus with another leading provider
Compare Bentaus with another leading provider
Compare Bentaus with another leading provider
Compare Bentaus with another leading provider
Compare Bentaus with another leading provider
Compare Bentaus with another leading provider
Eight-GPU NVIDIA HGX B300 (Blackwell Ultra) nodes with 288 GB HBM3e per GPU, NVLink within the node and 400G InfiniBand between nodes
Capacity is deployed on power infrastructure Bentaus develops and operates itself, including generation, battery backup and liquid-cooled facilities
Proprietary software that coordinates compute, power and energy assets in real time, letting GPU load respond to grid signals while keeping workload SLAs
Every order goes through an ordering form and a solutions architect; there is no instant single-GPU deployment
Fully isolated clusters designed to the customer's specification, with monitoring, support and SLAs, under a custom contract
Scalable virtual machines with a wide range of machine types, including GPUs.
Managed Kubernetes service for deploying and managing containerized applications.
Event-driven serverless compute platform.
Fully managed serverless platform for containerized applications.
Unified ML platform for building, deploying, and managing ML models.
Spare compute capacity at discounted Spot prices, suitable for fault-tolerant workloads that can be interrupted.
HGX B300 nodes sold by the GPU-hour in eight-GPU node increments
Dedicated, fully isolated GPU clusters designed to the customer's specification
Offers customizable virtual machines running in Google's data centers.
Managed Kubernetes service for running containerized applications.
Serverless compute platform for running code in response to events.
Per-GPU-hour pricing published as a range, sold in eight-GPU node increments and provisioned through sales; the low end is a starting rate
Lower per-GPU-hour range with guaranteed capacity, priority access and a rate locked for a custom term length agreed with sales
Custom contract pricing for a dedicated, isolated cluster; no published rate
Pay for vCPUs, GPUs, and memory with a one-minute minimum and per-second billing thereafter, with no long-term commitments.
Automatic discounts for running instances for a significant portion of the month.
Discounted rates in exchange for a 1-year or 3-year commitment to a minimum level of resource usage in a region, and combinable with reservations.
Spend-based commitments that apply across eligible machine families and regions rather than to specific resources.
Spare capacity at discounted Spot prices for fault-tolerant workloads that can be preempted.
Use the ordering form on the B300 page to state how many eight-GPU nodes you need, your workload type, timeline and whether you want on-demand, reserved or a custom environment
A Bentaus solutions architect follows up to confirm configuration, term and pricing within the published range
On-demand and reserved nodes are provisioned on Bentaus-operated infrastructure; AI factory clusters are designed and built to the agreed specification
Set up a project in the Google Cloud Console.
Set up a billing account to pay for resource usage.
Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.
Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.
Use the Cloud Console, command-line tools, or APIs to manage your resources.
Not disclosed; Bentaus operates on US grid infrastructure and its demand-response deployments have been in ERCOT (Texas)
Solutions architect assigned per order; AI factory clusters include monitoring, support and SLAs. Enquiries via the contact page.
40+ regions and 120+ zones worldwide.
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.