Who is Cerebrium best for?

Cerebrium is built for ML engineers building real-time voice and video AI applications, AI startups deploying multimodal inference pipelines without dedicated DevOps, Enterprise teams requiring compliant (HIPAA/GDPR/SOC 2) GPU infrastructure, Developers fine-tuning open-source LLMs at scale. Common use cases include Real-time voice agent infrastructure (sub-500ms end-to-end latency pipelines); LLM inference serving (custom and open-source models at scale); LLM fine-tuning on multi-GPU clusters (H100, H200).

How is Cerebrium priced?

Per-second, usage-based billing for all compute. GPU rates range from $0.000164/s (T4) to $0.00167/s (B200), with A10 at $0.000306/s and H100 at $0.000944/s. Memory is billed at $0.00000222/GB/s; CPU at $0.00000655/vCPU/s. Storage costs $0.05/GB/month (first 100 GB free). Three plan tiers: Hobby (free base + compute, up to 3 apps, 5 concurrent GPUs), Standard ($100/month + compute, unlimited apps, 30 concurrent GPUs, custom domains), and Enterprise (custom pricing, unlimited concurrency, dedicated Slack, volume discounts, ML engineering services). Volume discounts and capacity guarantees (e.g., up to 50 H100s with $10,000/month minimum spend) are available for enterprise deployments.

What are the alternatives to Cerebrium?

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

What do users praise about Cerebrium?

Users frequently praise: Sub-4 second cold starts via GPU snapshotting; Bring-your-own-Dockerfile with no code rewrites; Highly responsive engineering support via Slack; 40% cost savings vs traditional cloud providers; 12+ GPU types with per-second billing; Production-grade autoscaling from zero to thousands of instances; Developer-friendly CLI and deployment experience; SOC 2, HIPAA, GDPR, ISO 27001 compliance out of the box.

What are common complaints about Cerebrium?

Frequently cited limitations: AWS and GCP credits cannot be applied to Cerebrium spend; Not cost-optimal for always-on, high-utilization workloads; No verified third-party reviews on G2 or Gartner (early-stage brand recognition); Capacity guarantees require minimum monthly spend commitments.

When was Cerebrium founded and where?

Cerebrium was founded in 2021, headquartered in New York, USA by Michael Louis, Jonathan Irwin.

How big is Cerebrium?

Cerebrium reports 11-50 employees.

AI visibility report

AI visibility report for Cerebrium in LLM Inference & Serverless GPU.

Outside the top three on 16 of the 25 prompts tracked for this category.

Baseten is cited on 9 of those losses.

25 prompts

5 platforms

Latest AI responses Nov 2, 2026

Research approved May 6, 2026

Track Cerebrium daily

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

Track Cerebrium across these prompts daily.

Start your 14-day trial

8percent

Presence Rate

Low presence

Modal leads by 18 pts

Top-3 citations across 125 prompt × platform pairs

Unavailablerank

Peer Ranking

Unavailablein LLM Inference & Serverless GPU

Key Metrics

Presence Rate

8.0%

Share of Voice

6.4%

Avg Position

#5.2

Docs Presence

0.8%

Blog Presence

0.0%

Brand Mentions

12.8%

Platform Breakdown

Google AI Mode

16%4/25 prompts

ChatGPT

12%3/25 prompts

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

Overview

Cerebrium is a New York-based serverless AI infrastructure platform founded in 2021 and backed by Gradient Ventures, Y Combinator, and Authentic Ventures. The platform enables engineering teams to deploy, scale, and operate multimodal AI workloads—including LLMs, voice agents, video generation, and digital avatars—without managing servers or DevOps infrastructure. Cerebrium's core technical differentiator is its proprietary container runtime with GPU and memory snapshotting, delivering cold starts of 2–4 seconds across 12+ GPU types from T4 to B200. It charges per second of actual compute usage, supports custom Dockerfiles without code rewrites, and provides native multi-region deployment, OpenTelemetry observability, and enterprise compliance certifications (SOC 2, HIPAA, GDPR, ISO 27001). Notable customers include Tavus, Deepgram, Vapi, and Resemble AI.

AI visibility report

AI visibility report for Cerebrium in LLM Inference & Serverless GPU.

Outside the top three on 16 of the 25 prompts tracked for this category.

Baseten is cited on 9 of those losses.

25 prompts

5 platforms

Latest AI responses Nov 2, 2026

Research approved May 6, 2026

Track Cerebrium daily

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

Track Cerebrium across these prompts daily.

Start your 14-day trial

8percent

Presence Rate

Low presence

Modal leads by 18 pts

Top-3 citations across 125 prompt × platform pairs

Unavailablerank

Peer Ranking

Unavailablein LLM Inference & Serverless GPU

Key Metrics

Presence Rate

8.0%

Share of Voice

6.4%

Avg Position

#5.2

Docs Presence

0.8%

Blog Presence

0.0%

Brand Mentions

12.8%

Platform Breakdown

Google AI Mode

16%4/25 prompts

ChatGPT

12%3/25 prompts

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

Overview

Reviews

Praised

Sub-4 second cold starts via GPU snapshotting
Bring-your-own-Dockerfile with no code rewrites
Highly responsive engineering support via Slack
40% cost savings vs traditional cloud providers
12+ GPU types with per-second billing
Production-grade autoscaling from zero to thousands of instances
Developer-friendly CLI and deployment experience
SOC 2, HIPAA, GDPR, ISO 27001 compliance out of the box

Criticized

AWS and GCP credits cannot be applied to Cerebrium spend
Not cost-optimal for always-on, high-utilization workloads
No verified third-party reviews on G2 or Gartner (early-stage brand recognition)
Capacity guarantees require minimum monthly spend commitments

No verified third-party review scores exist on G2 (profile unclaimed, 0 reviews) or Gartner Peer Insights as of May 2026. Community sentiment on Product Hunt and Hacker News is positive, with developers praising the speed and simplicity of GPU deployment. Published case studies from Tavus, Creatium, DistilLabs, and bitHuman document strong customer satisfaction around cold-start performance, developer experience, and support responsiveness.

Prompt	Bing Copilot	Google AI Mode	ChatGPT	Perplexity	Gemini Search
Capability2/5 cited (40%)
Which LLM inference platforms let enterprise teams bring their own fine-tuned model weights and enforce strict data isolation with private deployments?	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited
Which serverless inference platforms support running large multimodal models — handling both text and image inputs — on high-end GPUs at production scale?

#	Brand	PresencePres.	Share of VoiceSoV	DocsDocs	BlogBlog	MentionsMent.	Avg PosPos
1	Modal	26.4%	29.5%	7.2%	2.4%	0.0%	#8.3
2	RunPod	21.6%	21.4%	8.8%	4.0%	35.2%	#5.3
3	Baseten	16.0%	12.5%	8.0%	3.2%	46.4%	#6.2
4	Together AI	12.8%	10.8%	4.8%	1.6%	40.0%	#5.4
5	Fireworks AI	9.6%	8.5%	5.6%	0.8%	32.0%	#4.8
6	Cerebrium	8.0%	6.4%	0.8%	0.0%	12.8%	#5.2
7	Replicate	8.0%	7.1%	8.0%	0.0%	22.4%	#12.8
8	Beam	4.8%	3.7%	0.0%	0.0%	9.6%	#11.2
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%	—

Developer Experience0/5 cited (0%)
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	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 & Ecosystem2/5 cited (40%)
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	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited

Performance & Reliability3/5 cited (60%)
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	Your brand 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

AI visibility report for Cerebrium in LLM Inference & Serverless GPU.

Key Metrics

Platform Breakdown

Overview

AI visibility report for Cerebrium in LLM Inference & Serverless GPU.

Key Metrics

Platform Breakdown

Overview

Prompts where competitors are visible and Cerebrium is not.

Where Cerebrium is winning1

Where Cerebrium is losing5

Key Facts

Key Capabilities10

Key Use Cases8

Cerebrium customer outcomes

Recent Trend

How AI describes Cerebrium3

Most cited sources8

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

Setup & First Run0/5 cited (0%)
Which LLM inference platforms support deploying quantized open-source models with minimal setup for a backend engineer with no MLOps background?	Neither your brand nor a competitor was cited	A competitor was cited	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited

AI visibility report for Cerebrium in LLM Inference & Serverless GPU.

Key Metrics

Platform Breakdown

Overview

AI visibility report for Cerebrium in LLM Inference & Serverless GPU.

Key Metrics

Platform Breakdown

Overview

Prompts where competitors are visible and Cerebrium is not.

Where Cerebrium is winning1

Where Cerebrium is losing5

Key Facts

Key Capabilities10

Key Use Cases8

Cerebrium customer outcomes

Recent Trend

How AI describes Cerebrium3

Most cited sources8

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 Cerebrium do?

Who is Cerebrium best for?

How is Cerebrium priced?

What are the alternatives to Cerebrium?

What do users praise about Cerebrium?

What are common complaints about Cerebrium?

When was Cerebrium founded and where?

How big is Cerebrium?