Who is Beam best for?

Beam is built for AI/ML engineers deploying custom inference endpoints, Full-stack developers building generative AI products, AI agent developers needing secure code sandbox execution, DevOps and platform teams requiring self-hostable GPU infrastructure. Common use cases include Serverless GPU inference for custom ML and generative AI models; Secure code sandbox execution for AI agents and LLM-generated code; Async background batch processing and data pipelines on GPU/CPU.

Beam uses pay-per-millisecond billing with no upfront commitments. Published rates: CPU at $0.190/core/hr, RAM at $0.020/GB/hr, RTX 4090 at $0.69/hr, A10G at $1.05/hr, H100 at $3.50/hr. File storage is included at no charge. Cold start time (container spin-up) is not billed. New accounts receive 15 hours of free credit on signup. Beam claims up to 80% savings versus always-on VM instances for bursty workloads. No tiered plan structure or minimum spend requirement is documented; enterprise pricing is available via direct contact.

What are the alternatives to Beam?

Common LLM Inference & Serverless GPU alternatives to Beam include RunPod, Modal, Fireworks AI, Baseten, Together AI. See the full comparison hub at /verticals/llm-inference-serverless-gpu/compare.

What do users praise about Beam?

Users frequently praise: Excellent developer experience and onboarding; Fast GPU deployment with minimal configuration; Pay-per-millisecond billing reduces idle compute costs; Highly responsive founder/support team; Open-source and self-hostable runtime; Eliminates VM infrastructure management overhead; Python decorator-based API requires no YAML or Dockerfiles.

What are common complaints about Beam?

Frequently cited limitations: Cold starts (2–3s) slower than Modal's sub-second performance; Narrower GPU catalog compared to RunPod; Small team may limit enterprise support capacity; TypeScript SDK still in beta; No publicly confirmed SOC 2 or formal enterprise SLA; Limited published information on geographic regions.

When was Beam founded and where?

Beam was founded in 2021, headquartered in New York, NY, USA by Eli Mernit, Luke Lombardi.

Beam reports 5-10 employees, hundreds (self-reported) customers.

AI visibility report

Beam ranks #4 in LLM Inference & Serverless GPU AI search.

Outside the top three on 20 of the 25 prompts buyers actually ask.

Modal is cited on 9 of those losses.

25 prompts

5 platforms

Updated Sep 15, 2026 - refreshed weekly

Track Beam daily

14-day free trial. No card required. Setup comes pre-filled for Beam.

Track Beam across these prompts daily.

Start your 14-day trial

5percent

Presence Rate

Low presence

#4 among 10 vendors · still absent from 95.2% of tracked prompt responses

Top-3 citations across 125 prompt × platform pairs

N/A

Sentiment

-1.00.0+1.0

Unknown

#4of 10

Peer Ranking

#1#10

Above averagein LLM Inference & Serverless GPU

Key Metrics

Presence Rate

4.8%

Share of Voice

9.5%

Avg Position

#3.0

Docs Presence

0.0%

Blog Presence

0.0%

Brand Mentions

13.6%

Platform Breakdown

Perplexity

16%4/25 prompts

Gemini Search

Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

Beam (beam.cloud) is an open-source, serverless AI infrastructure platform founded in 2021 and backed by Y Combinator (W22), Tiger Global, and angel investors including the founders of Snyk and GitHub. Built around a custom container runtime called beta9, Beam enables developers to run GPU inference endpoints, secure code sandboxes, async task queues, and scheduled jobs using simple Python or TypeScript decorators—with no YAML or Dockerfile configuration required. Containers launch in under one second, billing is per-millisecond, and apps scale to zero when idle. Beam differentiates as the only major serverless GPU platform with a fully open-source, self-hostable runtime (AGPL-3.0), enabling deployment across Beam's managed cloud, AWS, or on-premises infrastructure. Named customers include Coca-Cola, Magellan AI, Geospy, and Frase.

AI visibility report

Beam ranks #4 in LLM Inference & Serverless GPU AI search.

Outside the top three on 20 of the 25 prompts buyers actually ask.

Modal is cited on 9 of those losses.

25 prompts

5 platforms

Updated Sep 15, 2026 - refreshed weekly

Track Beam daily

14-day free trial. No card required. Setup comes pre-filled for Beam.

Track Beam across these prompts daily.

Start your 14-day trial

5percent

Presence Rate

Low presence

#4 among 10 vendors · still absent from 95.2% of tracked prompt responses

Top-3 citations across 125 prompt × platform pairs

N/A

Sentiment

-1.00.0+1.0

Unknown

#4of 10

Peer Ranking

#1#10

Above averagein LLM Inference & Serverless GPU

Key Metrics

Presence Rate

4.8%

Share of Voice

9.5%

Avg Position

#3.0

Docs Presence

0.0%

Blog Presence

0.0%

Brand Mentions

13.6%

Platform Breakdown

Perplexity

16%4/25 prompts

Gemini Search

Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

Reviews

Praised

Excellent developer experience and onboarding
Fast GPU deployment with minimal configuration
Pay-per-millisecond billing reduces idle compute costs
Highly responsive founder/support team
Open-source and self-hostable runtime
Eliminates VM infrastructure management overhead
Python decorator-based API requires no YAML or Dockerfiles

Criticized

Cold starts (2–3s) slower than Modal's sub-second performance
Narrower GPU catalog compared to RunPod
Small team may limit enterprise support capacity
TypeScript SDK still in beta
No publicly confirmed SOC 2 or formal enterprise SLA
Limited published information on geographic regions

Public developer sentiment is broadly positive, with users citing fast onboarding, strong developer experience, and elimination of VM management overhead. Testimonials highlight the ability to ship GPU-backed features in hours rather than weeks, and praise the responsiveness of the Beam team. Third-party comparison analyses position Beam as the preferred choice for teams requiring portability and self-hosting, while noting that cold start times (2–3 seconds) lag behind Modal's sub-second performance and that the GPU catalog is narrower than RunPod's. No formal review scores from G2, Gartner Peer Insights, or Capterra were found at time of research.

Prompt	ChatGPT	Bing Copilot	Google AI Mode	Gemini Search	Perplexity
Capability2/5 cited (40%)
What LLM inference platforms handle streaming token responses well and support long context windows for document-processing use cases?	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited
Which serverless GPU platforms support batch inference jobs for offline processing pipelines in addition to real-time API endpoints?

Developer Experience1/5 cited (20%)
Which serverless GPU platforms give engineering teams the most visibility into per-request latency and token throughput right out of the box?	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited

Integrations & Ecosystem1/5 cited (20%)
Which LLM inference platforms integrate natively with vector database services for building retrieval-augmented generation pipelines without extra glue code?	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited

Performance & Reliability1/5 cited (20%)
Which serverless inference providers deliver the highest tokens-per-second throughput for a high-volume API serving thousands of concurrent users?	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited

Setup & First Run0/5 cited (0%)
Which LLM inference platforms have the easiest onboarding for a solo developer deploying a fine-tuned open-source model for the first time?	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited

Beam ranks #4 in LLM Inference & Serverless GPU AI search.

Key Metrics

Platform Breakdown

Overview

Beam ranks #4 in LLM Inference & Serverless GPU AI search.

Key Metrics

Platform Breakdown

Overview

Prompts where competitors are visible and Beam is not.

Where Beam is winning2

Where Beam is losing5

Key Facts

Key Capabilities10

Key Use Cases8

Beam customer outcomes

Recent Trend

How AI describes Beam3

Most cited sources6

Alternatives in LLM Inference & Serverless GPU6

Reviews

Pricing

Limitations

Topic Coverage

Prompt-Level Results

Vertical Ranking

Turn this into your team dashboard

Frequently asked questions

#	Brand	PresencePres.	Share of VoiceSoV	DocsDocs	BlogBlog	MentionsMent.	Avg PosPos	Sentiment
1	RunPod	12.0%	22.6%	1.6%	1.6%	48.8%	#2.7	—
2	Modal	11.2%	26.2%	2.4%	0.8%	0.0%	#3.0	—
3	Fireworks AI	8.0%	14.3%	1.6%	5.6%	32.0%	#4.3	—
4	Beam	4.8%	9.5%	0.0%	0.0%	13.6%	#3.0	—
5	Baseten	4.0%	9.5%	2.4%	0.8%	43.2%	#1.9	—
6	Together AI	4.0%	6.0%	1.6%	0.0%	36.8%	#4.4	—
7	Replicate	3.2%	8.3%	2.4%	0.0%	28.8%	#1.7	—
8	Cerebrium	2.4%	3.6%	0.0%	0.0%	9.6%	#2.7	—
9	Lepton AI	0.0%	0.0%	0.0%	0.0%	0.0%	—	—
10	Sference	0.0%	0.0%	0.0%	0.0%	0.0%	—	—

Beam ranks #4 in LLM Inference & Serverless GPU AI search.

Key Metrics

Platform Breakdown

Overview

Beam ranks #4 in LLM Inference & Serverless GPU AI search.

Key Metrics

Platform Breakdown

Overview

Prompts where competitors are visible and Beam is not.

Where Beam is winning2

Where Beam is losing5

Key Facts

Key Capabilities10

Key Use Cases8

Beam customer outcomes

Recent Trend

How AI describes Beam3

Most cited sources6

Alternatives in LLM Inference & Serverless GPU6

Reviews

Pricing

Limitations

Topic Coverage

Prompt-Level Results

Vertical Ranking

Turn this into your team dashboard

Frequently asked questions

What does Beam do?

Who is Beam best for?

How is Beam priced?

What are the alternatives to Beam?

What do users praise about Beam?

What are common complaints about Beam?

When was Beam founded and where?

How big is Beam?