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Compare GPU and LLM inference API pricing between Bentaus and IO.NET. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Bentaus Price | IO.NET Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • IO.NET | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • IO.NET | Not Available | 2x GPU | — | |
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • IO.NET | Not Available | 4x GPU | — | |
A30 24GB VRAM • | ||||
A40 48GB VRAM • IO.NET | Not Available | — | ||
A40 48GB VRAM • | ||||
Gaudi 2 96GB VRAM • IO.NET | Not Available | 8x GPU | — | |
Gaudi 2 96GB VRAM • | ||||
H100 SXM 80GB VRAM • IO.NET | Not Available | 2x GPU | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • IO.NET | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Bentaus | 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • IO.NET | Not Available | 8x GPU | — | |
L4 24GB VRAM • | ||||
L40 40GB VRAM • IO.NET | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • IO.NET | Not Available | 2x GPU | — | |
L40S 48GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • IO.NET | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • IO.NET | Not Available | 8x GPU | — | |
RTX 4090 24GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • IO.NET | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • IO.NET | Not Available | 2x GPU | — | |
RTX A6000 48GB VRAM • | ||||
A100 PCIE 40GB VRAM • IO.NET | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • IO.NET | Not Available | 2x GPU | — | |
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • IO.NET | Not Available | 4x GPU | — | |
A30 24GB VRAM • | ||||
A40 48GB VRAM • IO.NET | Not Available | — | ||
A40 48GB VRAM • | ||||
Gaudi 2 96GB VRAM • IO.NET | Not Available | 8x GPU | — | |
Gaudi 2 96GB VRAM • | ||||
H100 SXM 80GB VRAM • IO.NET | Not Available | 2x GPU | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • IO.NET | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Bentaus | 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • IO.NET | Not Available | 8x GPU | — | |
L4 24GB VRAM • | ||||
L40 40GB VRAM • IO.NET | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • IO.NET | Not Available | 2x GPU | — | |
L40S 48GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • IO.NET | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • IO.NET | Not Available | 8x GPU | — | |
RTX 4090 24GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • IO.NET | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • IO.NET | Not Available | 2x GPU | — | |
RTX A6000 48GB VRAM • | ||||
| Model ↑ | Bentaus | IO.NET | Input Diff ↕ |
|---|---|---|---|
DeepSeek | Not available | $0.568 in $2.28 out | — |
DeepSeek | Not available | $0.890 in $1.70 out | — |
DeepSeek | Not available | $0.140 in $0.305 out | — |
DeepSeek | Not available | $1.74 in $3.47 out | — |
DeepSeek | Not available | $0.280 in $1.09 out | — |
Google | Not available | $0.096 in $0.334 out | — |
Zhipu | Not available | $0.064 in $0.400 out | — |
Zhipu | Not available | $0.157 in $0.937 out | — |
Zhipu | Not available | $0.520 in $2.04 out | — |
Zhipu | Not available | $0.524 in $2.05 out | — |
Zhipu | Not available | $0.860 in $2.75 out | — |
Zhipu | Not available | $1.36 in $4.27 out | — |
Zhipu | Not available | $1.99 in $6.44 out | — |
Z AI | Not available | $1.34 in $4.27 out | — |
Z AI | Not available | $0.210 in $0.700 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
Access to 300,000+ verified GPUs from 139 countries with 6,000+ cluster-ready GPUs
Deploy clusters in under 90 seconds with auto-scaling capabilities
Choose from containers, Ray clusters, or bare metal based on workload needs
Uses the same distributed computing framework that OpenAI used to train GPT-3
AI models, smart agents, and API integration for workflow automation
Kernel-level VPN with secure mesh protocols for data protection
HGX B300 nodes sold by the GPU-hour in eight-GPU node increments
Dedicated, fully isolated GPU clusters designed to the customer's specification
On-demand GPU clusters for AI/ML workloads with multiple deployment options
AI models, smart agents, and API integration platform
Decentralized pool of GPU providers with unified APIs and competitive pricing.
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
Most cost-effective option for distributed ML workloads using Ray framework
Standard containerized deployments with Docker support
Premium pricing for direct hardware access and maximum performance
Dynamic pricing based on actual resource usage with automatic scaling
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
Create an account on the IO.NET platform with no complex KYC requirements
Purchase $IO tokens for compute payments or add other supported payment methods
Select from containers, Ray clusters, or bare metal based on your workload
Specify GPU requirements, region preferences, and scaling options
Launch your cluster in under 90 seconds and start your AI/ML workloads
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.
Global distributed network across 139 countries with intelligent geographic clustering and latency optimization
Documentation portal, Discord community (500,000+ members), Telegram support, and direct engineering support for GPU and driver questions