Blaxel

Blaxel

Cloud infrastructure for running autonomous AI agents at scale, with millisecond sandbox startup and near-zero idle cost.

🔗 Visit Blaxel
📁 DevOps, Cloud & Infrastructure🗣️ English

Description

Running one AI agent for a demo is easy. Running thousands of agents that each need their own isolated computer, that start instantly when work arrives and cost nothing while sitting idle, is a different engineering problem entirely — one most teams shouldn't have to solve themselves. Blaxel is infrastructure built specifically for that job: it hands each agent a disposable sandbox that boots in milliseconds and disappears (and stops costing money) the moment it's done.

Blaxel is agent-execution infrastructure that supports over 50,000 concurrent microVMs, with sandboxes booting in milliseconds and resuming from a paused state in roughly 25ms — fast enough that agents can be spun up per-task rather than kept running continuously. It includes Agent Drive, a distributed filesystem for sharing state across multiple agents working together, persistent durable volumes for data that needs to survive between runs, and a programmable network layer with egress control and static IPs for agents that need a stable, whitelistable identity when calling external APIs. Founded in 2024 and backed by Y Combinator, Blaxel prices on a pay-as-you-go basis (around $0.0000115 per GB-RAM-second of compute, plus $0.12/GB-month for storage), starts new accounts with $200 in free credits, and offers optional flat-rate subscription tiers from $20/month.

💬 Our review

The short version: Blaxel's real selling point is cost efficiency at idle — zero compute charges when an agent isn't actively running is exactly what you want for a fleet of agents that spend most of their time waiting for the next task, not running continuously.

It's competing directly with E2B, Modal and Daytona in a category that got very busy in 2026, and on paper the numbers are competitive rather than obviously superior — the ~25ms resume time is genuinely fast, but E2B's sub-200ms cold start and Modal's broader GPU/serverless platform are both credible alternatives depending on what else you need bundled in. Agent Drive, the shared distributed filesystem for multi-agent collaboration, is the more distinctive feature and the reason to pick Blaxel specifically over a single-agent sandbox provider: if your workload is one agent running scripts, any of the competitors will do; if it's multiple agents that need to share state and files while working together, Blaxel's architecture is built for exactly that.

💰 Pricing

Freemium$200 free credits, then pay-as-you-go compute/storage, or flat subscriptions from $20/month.
Free 0Subscription (from) 20

📊 Global score

53Average
🌐Availability15/100Faible

1 language · 0 platform

📄Profile90/100Excellent

Profile completeness

🤖 AI-enriched data

💰 Pricing model
🆓 Freemium

$200 free credits. Pay-as-you-go: ~$0.0000115/GB RAM-second compute, $0.12/GB-month storage. Optional subscription tiers from $20/month.

👥 Target audienceTeams building and deploying autonomous multi-agent AI systems at scale
🗣️ Languagesen
🌍 Target countriesWorldwide
👍

Pros

Zero compute cost while agents are idle, not just cheap — actually free

Supports 50,000+ concurrent microVMs with ~25ms resume from pause

Agent Drive shared distributed filesystem built for multi-agent collaboration

👎

Cons

Crowded category with strong, well-funded competitors (E2B, Modal, Daytona)

No open-source core, unlike E2B's SDK

Pay-as-you-go pricing requires modeling usage carefully to predict real cost

❓ Frequently asked questions

What makes Blaxel different from just running agents on a regular server?
What is Agent Drive?
Can agents on Blaxel call external APIs reliably?
Is Blaxel open source?
Is it worth the money compared to alternatives?
Which tool should you pick for your case?