What is the difference between Beam and Meshive?

Beam and Meshive 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 Meshive?

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 Meshive?

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 3 different GPU models across both Beam and Meshive, with 0 models available from both providers.

Beam vs Meshive

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

Beam

Provider 1

GPUs Available

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Meshive

Provider 2

GPUs Available

Visit Website

Comparison Overview

Total GPU Models

Beam GPUs

Meshive GPUs

Direct Comparisons

Average Price Difference: $0.68/hour between comparable GPUs

GPU Pricing Comparison

Total GPUs: 3Both available: 1Beam: 2Meshive: 2

Showing 3 of 3 GPUs

Last updated: 11/6/2026, 11:57:35 PM

GPU Model ↑	Beam Price	Meshive Price	Price Diff ↕	Sources
RTX 4090 24GB VRAM • Beam	$0.69/hr★ Best	Not Available	—	Beam
RTX 4090 24GB VRAM • Beam $0.69/hour Updated: 11/4/2026 ★Best Price Not Available Beam
RTX 5090 32GB VRAM • BeamMeshive	$1.09/hr	$0.41/hr★ Best	↑+$0.68(+166.3%)	Beam Meshive
RTX 5090 32GB VRAM • Beam $1.09/hour Updated: 11/4/2026 Meshive $0.41/hour Updated: 11/6/2026 ★Best Price Price Difference:↑+$0.68(+166.3%) Beam Meshive
RTX PRO 5000 48GB VRAM • Meshive	Not Available	$0.48/hr★ Best	—	Meshive
RTX PRO 5000 48GB VRAM • Not Available Meshive $0.48/hour Updated: 11/6/2026 ★Best Price Meshive

RTX 4090 24GB VRAM • Beam	$0.69/hr★ Best	Not Available	—	Beam
RTX 4090 24GB VRAM • Beam $0.69/hour Updated: 11/4/2026 ★Best Price Not Available Beam
RTX 5090 32GB VRAM • BeamMeshive	$1.09/hr	$0.41/hr★ Best	↑+$0.68(+166.3%)	Beam Meshive
RTX 5090 32GB VRAM • Beam $1.09/hour Updated: 11/4/2026 Meshive $0.41/hour Updated: 11/6/2026 ★Best Price Price Difference:↑+$0.68(+166.3%) Beam Meshive
RTX PRO 5000 48GB VRAM • Meshive	Not Available	$0.48/hr★ Best	—	Meshive
RTX PRO 5000 48GB VRAM • Not Available Meshive $0.48/hour Updated: 11/6/2026 ★Best Price Meshive

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

Meshive

Task-oriented configuration
Allows users to specify workloads and associated hardware requirements.
Instant pod provisioning
Enables setup of GPU pods in under two minutes.
Support for popular frameworks
Compatible with various models and tools like PyTorch, Jupyter, and ComfyUI.
Serverless deployment
Provides OpenAI-compatible URLs for easy model inference.
Encrypted data transmission
Ensures data security with multiple layers of encryption during operations.

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

Meshive

Advantages

Quick setup and responsive pod provisioning
Flexibility in workload management
Transparent pricing with no hidden fees
Dedicated hardware for each pod

Considerations

GPUs are available in one region only (South Korea)
Limited selection of GPU models

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

Meshive

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

Meshive

On-demand

No commitment

Spot

Lower rate; pods can be interrupted

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

Meshive

Get Started

1
Sign up
Create an account on the Meshive platform.
2
Choose a workload
Select the desired job type to be performed.
3
Select hardware specifications
Specify the necessary GPU, vCPU, and RAM for the task.
4
Start the pod
Provision the selected resources and begin the setup.
5
Connect and run
Use provided HTTPS or SSH links to access the pod and execute tasks.

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

Meshive

Global Regions

GPUs are hosted in data centers in South Korea.

Support

Email support at admin@meshive.ai and documentation at docs.meshive.ai.