What is the difference between Beam and Bentaus?

Beam and Bentaus are both cloud GPU providers offering different pricing models, features, and GPU availability. Use our comparison tool to see real-time pricing and feature differences.

Which is cheaper: Beam or Bentaus?

Pricing varies by GPU model and usage requirements. Check our real-time comparison table to find the best deals for your specific needs.

Can I switch between Beam and Bentaus?

Yes, both providers offer flexible cloud GPU services. However, consider factors like data transfer costs, setup time, and specific features when switching between providers.

How many GPU models are available for comparison?

We track pricing for 4 different GPU models across both Beam and Bentaus, with 0 models available from both providers.

Beam vs Bentaus

Compare GPU pricing between Beam and Bentaus. Find the best rates for AI training, inference, and ML workloads.

Beam

Provider 1

GPUs Available

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Bentaus

Provider 2

GPUs Available

Visit Website

Comparison Overview

Total GPU Models

Beam GPUs

Bentaus GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 4Both available: 0Beam: 3Bentaus: 1

Showing 4 of 4 GPUs

Last updated: 10/5/2026, 8:03:38 PM

GPU Model ↑	Beam Price	Bentaus Price	Price Diff ↕	Sources
H100 SXM 80GB VRAM • Beam	$3.50/hr★ Best	Not Available	—	Beam
H100 SXM 80GB VRAM • Beam $3.50/hour Updated: 10/1/2026 ★Best Price Not Available Beam
HGX B300 288GB VRAM • Bentaus	Not Available	$4.35/hr★ Best 8x GPU	—	Bentaus
HGX B300 288GB VRAM • Not Available Bentaus $4.35/hour 8x GPU configuration Updated: 10/5/2026 ★Best Price Bentaus
RTX 4090 24GB VRAM • Beam	$0.69/hr★ Best	Not Available	—	Beam
RTX 4090 24GB VRAM • Beam $0.69/hour Updated: 10/1/2026 ★Best Price Not Available Beam
RTX 5090 32GB VRAM • Beam	$1.09/hr★ Best	Not Available	—	Beam
RTX 5090 32GB VRAM • Beam $1.09/hour Updated: 10/1/2026 ★Best Price Not Available Beam

H100 SXM 80GB VRAM • Beam	$3.50/hr★ Best	Not Available	—	Beam
H100 SXM 80GB VRAM • Beam $3.50/hour Updated: 10/1/2026 ★Best Price Not Available Beam
HGX B300 288GB VRAM • Bentaus	Not Available	$4.35/hr★ Best 8x GPU	—	Bentaus
HGX B300 288GB VRAM • Not Available Bentaus $4.35/hour 8x GPU configuration Updated: 10/5/2026 ★Best Price Bentaus
RTX 4090 24GB VRAM • Beam	$0.69/hr★ Best	Not Available	—	Beam
RTX 4090 24GB VRAM • Beam $0.69/hour Updated: 10/1/2026 ★Best Price Not Available Beam
RTX 5090 32GB VRAM • Beam	$1.09/hr★ Best	Not Available	—	Beam
RTX 5090 32GB VRAM • Beam $1.09/hour Updated: 10/1/2026 ★Best Price Not Available Beam

Features Comparison

Beam

Pay-per-millisecond Billing
Only charged when your code runs, no charges for cold starts or server spin-up
Sub-second Cold Starts
Memory snapshots and GPU checkpoint restore bring containers back in seconds, which Beam reports as up to 35x faster than a traditional cold boot
Secure Sandbox Environments
Run untrusted code safely in isolated environments for AI agents and code interpreters
Stateful, Persistent Runtimes
Pause and resume sessions while maintaining filesystem, memory, and running processes
Elastic GPU Scaling
Scale to zero when idle, burst to thousands of containers in seconds
Custom Docker Images
Bring your own Docker images for full environment control, including running the Docker daemon inside containers

Bentaus

HGX B300 nodes
Eight-GPU NVIDIA HGX B300 (Blackwell Ultra) nodes with 288 GB HBM3e per GPU, NVLink within the node and 400G InfiniBand between nodes
Owned energy infrastructure
Capacity is deployed on power infrastructure Bentaus develops and operates itself, including generation, battery backup and liquid-cooled facilities
Ziani orchestration
Proprietary software that coordinates compute, power and energy assets in real time, letting GPU load respond to grid signals while keeping workload SLAs
Sales-assisted provisioning
Every order goes through an ordering form and a solutions architect; there is no instant single-GPU deployment
Dedicated AI factories
Fully isolated clusters designed to the customer's specification, with monitoring, support and SLAs, under a custom contract

Pros & Cons

Beam

Advantages

Pay-per-millisecond billing with no charges for cold starts
Ultrafast boot times with sub-second cold starts via memory snapshots
GPU selection spanning RTX 4090 through B200, plus InfiniBand cluster nodes
On-demand machines priced flat per machine, including vCPU, RAM, and NVMe storage

Considerations

Serverless GPUs other than the RTX 4090 require a committed-spend agreement
GPU container concurrency is capped on the lower plan tiers
Multi-node InfiniBand clusters are sales-only with no published pricing

Bentaus

Advantages

Published per-GPU-hour price ranges for both on-demand and reserved B300 capacity, which most node-scale providers keep quote-only
Reserved capacity is described as guaranteed, non-interruptible and rate-locked for the term
Vertically integrated: the same company owns the power, the facility and the GPUs
Capacity advertised as available now rather than on a waitlist

Considerations

Minimum order is one eight-GPU node, so the hourly floor is eight times the per-GPU rate; there is no single-GPU option
Provisioning is sales-assisted through a solutions architect, not self-service or instant
Regions, billing increment, minimum rental duration and reserved term lengths are not disclosed

Compute Services

Beam

Inference Endpoints

Deploy high-performance inference endpoints with custom models

Custom model hosting on GPU or CPU
Pre-loading models for fast response times

Sandboxes

Secure code execution environments for AI agents

Run untrusted LLM-generated code safely
Snapshot and restore complete system state

Task Queues

Run large-scale workloads with distributed processing

Audio processing pipelines
Data processing at scale

Bentaus

GPU-as-a-Service

HGX B300 nodes sold by the GPU-hour in eight-GPU node increments

On-demand capacity for burst inference and training
Reserved capacity with priority access and a locked rate

AI Factory

Dedicated, fully isolated GPU clusters designed to the customer's specification

Full cluster isolation
Monitoring, support and SLAs

Pricing Options

Beam

Pay-per-millisecond

Serverless GPU, CPU, and sandbox usage billed by the millisecond with no minimum charges

Committed Spend

Serverless access to GPUs beyond the RTX 4090 is arranged through a committed-spend agreement

On-Demand Machines

Flat hourly price per machine that already includes the vCPU, RAM, and NVMe storage

Reserved Clusters

Multi-node InfiniBand clusters reserved monthly or yearly, quoted through sales

Bring Your Own Cloud

Per-vCPU and per-GB management fee on top of compute billed directly by your own cloud provider

Storage

Persistent volumes and snapshots included up to a capacity threshold, then billed per GB per month

Monthly Plans

Developer plan free with usage, Team plan with a monthly base fee plus usage, and a contact-sales Growth tier

Free Monthly Credits

All plans include monthly free credits that refresh each month

Volume Discounts

Discounts available for high monthly usage, arranged through sales

Bentaus

On-demand

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

Reserved

Lower per-GPU-hour range with guaranteed capacity, priority access and a rate locked for a custom term length agreed with sales

AI Factory

Custom contract pricing for a dedicated, isolated cluster; no published rate

Getting Started

Beam

Get Started

1
Create an account
Sign up on the Beam platform to receive monthly free credits
2
Set up Python environment
Create a virtual environment and install the Beam SDK
3
Authenticate with API token
Configure your API token to connect to Beam
4
Deploy your first app
Run a function locally, then deploy it as a web endpoint with the Beam CLI

Bentaus

Get Started

1
Size the deployment
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
2
Talk to a solutions architect
A Bentaus solutions architect follows up to confirm configuration, term and pricing within the published range
3
Deploy
On-demand and reserved nodes are provisioned on Bentaus-operated infrastructure; AI factory clusters are designed and built to the agreed specification

Support & Global Availability

Beam

Global Regions

30+ regions spanning the US, EU, Asia-Pacific, and Canada, with workloads routed across clouds and regions in real time

Support

Documentation, public Slack community, and a status page; live chat support on paid plans and a private Slack channel on the top tier

Bentaus

Global Regions

Not disclosed; Bentaus operates on US grid infrastructure and its demand-response deployments have been in ERCOT (Texas)

Support

Solutions architect assigned per order; AI factory clusters include monitoring, support and SLAs. Enquiries via the contact page.