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Compare GPU pricing between Bentaus and Shadeform. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Bentaus Price | Shadeform Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Shadeform | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Shadeform | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A16 64GB VRAM • Shadeform | Not Available | 2x GPU | — | |
A16 64GB VRAM • | ||||
A40 48GB VRAM • Shadeform | Not Available | — | ||
A40 48GB VRAM • | ||||
Gaudi 2 96GB VRAM • Shadeform | Not Available | 8x GPU | — | |
Gaudi 2 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Shadeform | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Shadeform | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Bentaus | 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Shadeform | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • Shadeform | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Shadeform | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • Shadeform | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • Shadeform | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Shadeform | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Shadeform | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
A10 24GB VRAM • Shadeform | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Shadeform | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A16 64GB VRAM • Shadeform | Not Available | 2x GPU | — | |
A16 64GB VRAM • | ||||
A40 48GB VRAM • Shadeform | Not Available | — | ||
A40 48GB VRAM • | ||||
Gaudi 2 96GB VRAM • Shadeform | Not Available | 8x GPU | — | |
Gaudi 2 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Shadeform | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Shadeform | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Bentaus | 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Shadeform | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • Shadeform | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Shadeform | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • Shadeform | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • Shadeform | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Shadeform | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Shadeform | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
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
Deploy high quality GPUs across 30+ top clouds worldwide through one platform
Scale across 100+ regions in North America, Europe, Asia and Australia
Provision GPU instances across top providers with centralized billing and support
Users save up to 90% on GPU instances vs traditional cloud providers
Startup scripts, container launches, templates, persistent volumes and SkyPilot integration documented for instance provisioning
Browse and compare instances and clouds by GPU type, GPU count and compliance, with interconnect and deployment type shown per listing, before creating an account
HGX B300 nodes sold by the GPU-hour in eight-GPU node increments
Dedicated, fully isolated GPU clusters designed to the customer's specification
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
GPU instances for everything from quick experiments to scaling production workloads
Instantly deployable clusters of up to 64 GPUs, no commitment required
Reserve capacity at a discounted rate on terms from one week to three years, quoted by request across partner clouds
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
Sign up to access the Shadeform platform and marketplace
Explore available GPU instances across providers and regions
Launch GPU instances using the unified console or API
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.
GPU clusters deployed across 100+ regions in North America, Europe, Asia and Australia
Documentation with API reference and tutorial library, unified platform console, email support and call scheduling for reservation quotes; managed Kubernetes for reserved clusters available at additional cost