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Compare GPU pricing between Atlas Cloud and Bentaus. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Atlas Cloud Price | Bentaus Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
H100 SXM 80GB VRAM • Atlas Cloud | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Atlas Cloud | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Bentaus | Not Available | 8x GPU | — | |
HGX B300 288GB VRAM • | ||||
H100 SXM 80GB VRAM • Atlas Cloud | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Atlas Cloud | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Bentaus | Not Available | 8x GPU | — | |
HGX B300 288GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Atlas Cloud with another leading provider
Compare Atlas Cloud with another leading provider
Compare Atlas Cloud with another leading provider
Compare Atlas Cloud with another leading provider
Compare Atlas Cloud with another leading provider
Compare Atlas Cloud with another leading provider
Unified access to models from DeepSeek, Qwen, ByteDance, Black Forest Labs, Luma, MoonshotAI, MiniMax, and more
Drop-in replacement for OpenAI SDK - just change the base URL and API key
Text, image, video, and audio generation through consistent API patterns
Use Atlas Cloud AI models directly in Cursor, Claude Desktop, VS Code, and more
Deploy custom models with Serverless GPU or rent DevPods for development
Run chat, model discovery, and image or video generation from the terminal
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
Access to 400+ AI models through unified API
Deploy custom models and development environments
HGX B300 nodes sold by the GPU-hour in eight-GPU node increments
Dedicated, fully isolated GPU clusters designed to the customer's specification
Transparent pricing with volume discounts available for API usage
Flexible pricing for serverless GPU deployments and development pods
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
Sign up for an account at console.atlascloud.ai
Generate API keys for authentication
Start using 400+ AI models through the unified API
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
Managed inference infrastructure; specific regions are not published
Comprehensive API documentation, SDK support, FAQ, and contact support
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.