What is the difference between Beam and Gcore?

Beam and Gcore 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 Gcore?

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 Gcore?

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 6 different GPU models across both Beam and Gcore, with 0 models available from both providers.

Beam vs Gcore

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

Beam

Provider 1

GPUs Available

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Gcore

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

Beam GPUs

Gcore GPUs

Direct Comparisons

Average Price Difference: $0.84/hour between comparable GPUs

GPU Pricing Comparison

Total GPUs: 6Both available: 1Beam: 2Gcore: 5

Showing 6 of 6 GPUs

Last updated: 11/11/2026, 8:17:14 AM

GPU Model ↑	Beam Price	Gcore Price	Price Diff ↕	Sources
A100 SXM 80GB VRAM • BeamGcore	$2.25/hr	$1.41/hr★ Best	↑+$0.84(+59.2%)	Beam Gcore
A100 SXM 80GB VRAM • Beam $2.25/hour Updated: 11/11/2026 Gcore $1.41/hour Updated: 11/11/2026 ★Best Price Price Difference:↑+$0.84(+59.2%) Beam Gcore
H100 PCIe 80GB VRAM • Beam	$3.55/hr★ Best	Not Available	—	Beam
H100 PCIe 80GB VRAM • Beam $3.55/hour Updated: 11/11/2026 ★Best Price Not Available Beam
H100 SXM 80GB VRAM • Gcore	Not Available	$1.72/hr★ Best	—	Gcore
H100 SXM 80GB VRAM • Not Available Gcore $1.72/hour Updated: 11/11/2026 ★Best Price Gcore
H200 141GB VRAM • Gcore	Not Available	$3.57/hr★ Best 8x GPU	—	Gcore
H200 141GB VRAM • Not Available Gcore $3.57/hour 8x GPU configuration Updated: 11/11/2026 ★Best Price Gcore
HGX B300 288GB VRAM • Gcore	Not Available	$6.73/hr★ Best 8x GPU	—	Gcore
HGX B300 288GB VRAM • Not Available Gcore $6.73/hour 8x GPU configuration Updated: 11/11/2026 ★Best Price Gcore
L40S 48GB VRAM • Gcore	Not Available	$1.21/hr★ Best	—	Gcore
L40S 48GB VRAM • Not Available Gcore $1.21/hour Updated: 11/11/2026 ★Best Price Gcore

A100 SXM 80GB VRAM • BeamGcore	$2.25/hr	$1.41/hr★ Best	↑+$0.84(+59.2%)	Beam Gcore
A100 SXM 80GB VRAM • Beam $2.25/hour Updated: 11/11/2026 Gcore $1.41/hour Updated: 11/11/2026 ★Best Price Price Difference:↑+$0.84(+59.2%) Beam Gcore
H100 PCIe 80GB VRAM • Beam	$3.55/hr★ Best	Not Available	—	Beam
H100 PCIe 80GB VRAM • Beam $3.55/hour Updated: 11/11/2026 ★Best Price Not Available Beam
H100 SXM 80GB VRAM • Gcore	Not Available	$1.72/hr★ Best	—	Gcore
H100 SXM 80GB VRAM • Not Available Gcore $1.72/hour Updated: 11/11/2026 ★Best Price Gcore
H200 141GB VRAM • Gcore	Not Available	$3.57/hr★ Best 8x GPU	—	Gcore
H200 141GB VRAM • Not Available Gcore $3.57/hour 8x GPU configuration Updated: 11/11/2026 ★Best Price Gcore
HGX B300 288GB VRAM • Gcore	Not Available	$6.73/hr★ Best 8x GPU	—	Gcore
HGX B300 288GB VRAM • Not Available Gcore $6.73/hour 8x GPU configuration Updated: 11/11/2026 ★Best Price Gcore
L40S 48GB VRAM • Gcore	Not Available	$1.21/hr★ Best	—	Gcore
L40S 48GB VRAM • Not Available Gcore $1.21/hour Updated: 11/11/2026 ★Best Price Gcore

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

Gcore

Global Edge Footprint
GPU and inference workloads deployable across 50+ cloud locations and 210+ points of presence worldwide
Blackwell Ultra Systems
8-GPU B300 SXM servers and 72-GPU GB300 NVL72 racks offered alongside H200, H100, A100 and L40S
Everywhere Inference
Managed inference platform with autoscaling, fast cold starts and protected endpoints, billed on the compute time actually used
Bare-Metal and Virtual GPUs
Dedicated 8-GPU bare-metal clusters or single-GPU virtual machines, with multi-node clusters provisioned in a single API call and automatic InfiniBand setup
Private and Third-Party Deployments
AI Cloud Stack and Everywhere AI for running models on enterprise, third-party cloud or on-premises infrastructure

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

Gcore

Advantages

Wide global edge presence beyond typical neocloud regions
Access to Blackwell Ultra B300 and GB300 NVL72 systems
Combined CDN, networking and GPU stack from a single provider
Virtual GPU shelving preserves IPs and volumes at zero compute cost between runs

Considerations

Catalog spans many products beyond GPU compute, which can complicate pricing
GPU SKU availability varies meaningfully by region
Less GPU-specialized than dedicated training neoclouds

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

Gcore

GPU Cloud

Bare-metal GPU clusters and virtual GPU machines provisioned through the console or API

Everywhere Inference

Managed endpoints for running models across Gcore's global footprint

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

Gcore

Virtual GPU

Hourly billing for self-serve GPU virtual machines, charged only while the instance is powered on

Bare-Metal GPU Clusters

Dedicated 8-GPU servers and multi-node clusters, priced per configuration with hourly, monthly and yearly estimates in the GPU Cloud calculator

Everywhere Inference

Billing determined by the exact compute time used, measured down to the minute

Quote-Based Capacity

B300 and GB300 NVL72 systems, plus third-party cloud and on-premises deployments, are quoted by the sales team

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

Gcore

Get Started

1
Create an account
Sign up at the Gcore customer portal
2
Select GPU product
Choose between cloud GPU instances, bare-metal clusters, or the inference platform
3
Provision and connect
Launch via the portal or API and connect over SSH or supported orchestrators

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

Gcore

Global Regions

50+ cloud locations and 210+ points of presence worldwide; bare-metal GPU clusters are offered in a smaller subset of regions such as Luxembourg

Support

Documentation, API reference, help center, status page and technical support plans