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Compare GPU and LLM inference API pricing between Beam and Google Cloud. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Beam Price | Google Cloud Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Beam | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Beam | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 PCIe 80GB VRAM • Beam | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
L40S 48GB VRAM • Beam | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 4090 24GB VRAM • Beam | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Beam | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Beam | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
A100 SXM 80GB VRAM • Beam | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Beam | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 PCIe 80GB VRAM • Beam | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
L40S 48GB VRAM • Beam | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 4090 24GB VRAM • Beam | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Beam | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Beam | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
| Model ↑ | Beam | Google Cloud | Input Diff ↕ |
|---|---|---|---|
Google | Not available | $0.500 in $3.00 out | — |
Google | Not available | $0.250 in $1.50 out | — |
Google | Not available | $2.00 in $12.00 out | — |
Google | Not available | $1.50 in $9.00 out | — |
Google | Not available | $0.300 in $2.50 out | — |
Google | Not available | $1.50 in $7.50 out | — |
Explore how these providers compare to other popular GPU cloud services
Compare Beam with another leading provider
Compare Beam with another leading provider
Compare Beam with another leading provider
Compare Beam with another leading provider
Compare Beam with another leading provider
Compare Beam with another leading provider
Only charged when your code runs, no charges for cold starts or server spin-up
Memory snapshots and GPU checkpoint restore bring containers back in seconds, which Beam reports as up to 35x faster than a traditional cold boot
Run untrusted code safely in isolated environments for AI agents and code interpreters
Pause and resume sessions while maintaining filesystem, memory, and running processes
Scale to zero when idle, burst to thousands of containers in seconds
Bring your own Docker images for full environment control, including running the Docker daemon inside containers
Scalable virtual machines with a wide range of machine types, including GPUs.
Managed Kubernetes service for deploying and managing containerized applications.
Event-driven serverless compute platform.
Fully managed serverless platform for containerized applications.
Unified ML platform for building, deploying, and managing ML models.
Short-lived compute instances at a significant discount, suitable for fault-tolerant workloads.
Deploy high-performance inference endpoints with custom models
Secure code execution environments for AI agents
Run large-scale workloads with distributed processing
Offers customizable virtual machines running in Google's data centers.
Managed Kubernetes service for running containerized applications.
Serverless compute platform for running code in response to events.
Serverless GPU, CPU, and sandbox usage billed by the millisecond with no minimum charges
Serverless access to GPUs beyond the RTX 4090 is arranged through a committed-spend agreement
Flat hourly price per machine that already includes the vCPU, RAM, and NVMe storage
Multi-node InfiniBand clusters reserved monthly or yearly, quoted through sales
Per-vCPU and per-GB management fee on top of compute billed directly by your own cloud provider
Persistent volumes and snapshots included up to a capacity threshold, then billed per GB per month
Developer plan free with usage, Team plan with a monthly base fee plus usage, and a contact-sales Growth tier
All plans include monthly free credits that refresh each month
Discounts available for high monthly usage, arranged through sales
Pay for compute capacity per hour or per second, with no long-term commitments.
Automatic discounts for running instances for a significant portion of the month.
Save up to 57% with a 1-year or 3-year commitment to a minimum level of resource usage.
Save up to 80% for fault-tolerant workloads that can be interrupted.
Sign up on the Beam platform to receive monthly free credits
Create a virtual environment and install the Beam SDK
Configure your API token to connect to Beam
Run a function locally, then deploy it as a web endpoint with the Beam CLI
Set up a project in the Google Cloud Console.
Set up a billing account to pay for resource usage.
Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.
Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.
Use the Cloud Console, command-line tools, or APIs to manage your resources.
30+ regions spanning the US, EU, Asia-Pacific, and Canada, with workloads routed across clouds and regions in real time
Documentation, public Slack community, and a status page; live chat support on paid plans and a private Slack channel on the top tier
40+ regions and 120+ zones worldwide.
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.