Blaxel has joined Baseten to build the future of agentic infrastructure. The platform keeps running. Here’s what it means for customers and for the agentic cloud.
Learn how execution substrates differ from sandboxes in AI agent infrastructure, covering placement, state, networking, storage, and billing in production systems.
Take your DeepSeek Harness task to a private Blaxel host and let it keep working. Review the patch, then return the files and conversation to your computer.
Turn one agent's findings into the next agent's starting point. Blaxel gives OpenAI agents isolated computers and persistent files for work that spans tasks and teams.
Learn what an execution substrate is for AI agents, why traditional compute fails, and how to evaluate isolation, state persistence, and cost for production.
Learn why traditional cloud infrastructure fails autonomous agents and what compute, storage, and networking primitives a purpose-built foundation requires.
Compare Blaxel and Beam on isolation model, standby lifecycle, pricing, and networking. Find out which platform fits agent code execution vs. GPU inference.
Koyeb's 24-hour sandbox limit and Mistral acquisition pushing you to evaluate options? Compare 5 alternatives on isolation, state persistence, and pricing.
Compare Blaxel and Fly.io on standby behavior, state persistence, networking, and pricing for production AI agent sandboxes. Find out which platform fits your workload.
Compare Blaxel and Koyeb for persistent AI agent sandboxes. See how lifecycle behavior, isolation, pricing, and GPU support differ for production agent workloads.
Compare sandbox platforms for healthcare, finance, and government. See which offer HIPAA BAAs, microVM isolation, and egress controls auditors require.
Compare 5 sandbox platforms on egress control, static IPs, and secrets injection for AI agents. Find the right fit for enterprise networking requirements.
Dynamic AI agents generate plans at inference time, adapting to novel conditions static workflows can't handle. Learn how they work and when to deploy them.
Learn how microVM isolation, per-tenant networking, and scoped storage protect your AI SaaS customers from cross-tenant breaches and resource exhaustion.
Reliability outweighs features as the buying criterion for agent infrastructure. Learn how to evaluate uptime, SLAs, and incident history before you commit.
Compare 5 Northflank alternatives built for AI agent workloads: Blaxel, Fly.io, Daytona, E2B, and Beam. Pricing, isolation models, and idle costs compared.
Blaxel holds sandbox state in perpetual standby at zero compute cost. Modal excels at GPU workloads. Compare isolation, pricing, and session continuity.
Compare SOC 2 Type I vs Type II sandbox providers for AI agent code execution. See isolation methods, state persistence, and compliance scope by vendor.
AI generates code in seconds, but preview infrastructure takes minutes. Learn how to architect instant preview environments with sub-second provisioning.
HackerSquad uses Blaxel sandboxes to launch cloud IDEs in seconds, eliminating workshop setup friction and enabling hundreds of developers to code in isolated environments simultaneously.
Learn how to give AI agents persistent memory across sessions using vector databases, persistent sandboxes, and shared filesystems for production workflows.
Disposable cloud IDEs give every participant an identical environment in minutes. Learn how to choose the right platform for hackathons and onboarding.
Learn what first-class TypeScript support means for sandbox SDKs, how to evaluate production options, and how to integrate with Vercel AI SDK and OpenAI.
Runwork leverages Blaxel's perpetual sandboxes and custom images to run low-latency, stateful AI agent workflows for enterprise teams without infrastructure overhead.
A perpetual sandbox preserves agent state, stops billing during idle, and resumes in under 25ms. Learn how it differs from ephemeral and persistent models.
Compare 5 platforms for long-running AI agent sandboxes. Covers state persistence, resume speed, isolation models, and cost tradeoffs for production workloads.
Learn how region pinning, encryption at rest, and cross-border execution controls protect regulated AI agent workloads in compliant sandbox deployments.
Blaxel integrates with Claude Managed Agents as a self-hosted sandbox provider, giving developers full control over code execution, networking, and state while Anthropic manages orchestration.
AI agents can now provision Blaxel accounts and resources through Stripe Projects using your existing Stripe payment methods - no dashboards, manual signup, or credential management required.
Compare Blaxel, E2B, Modal, Fly.io, and Beam Cloud as Cloudflare Containers alternatives for AI sandboxes. Find the right isolation and state persistence.
Learn how to safely run AI-generated code in production with the right isolation model, execution architecture, and operational controls for multi-tenant agents.
Learn how to run RL agents in secure sandboxes with microVM isolation, state persistence, and cost-efficient parallel rollouts for production training.
Compare microVM, container, and WASM sandbox architectures for AI agents. Learn which isolation model fits your security, latency, and compliance needs.
ZDR claims often miss execution logs, memory snapshots, and telemetry. Learn how to audit vendor DPAs and find architectures that hold up under procurement.
E2B has real production limits. Compare 5 alternatives—Blaxel, Daytona, CodeSandbox, Modal, and Runloop—to find the right sandbox for your AI agents in 2026.
Lambda's cold starts, state loss, and idle costs break AI agents in production. Compare Blaxel, Modal, E2B, Fly.io, and Cloudflare Workers to find the right fit.
Compare the top serverless platforms for AI workloads: cold starts, state persistence, GPU support, and pricing. Find the right fit for your agent stack.
Compare the best sandboxes for coding agents: Blaxel, Runloop, Fly.io, Morph, and Vercel. Evaluate resume speed, state persistence, and isolation strength.
Compare top code execution sandboxes for AI agents. Covers isolation models, cold start latency, state persistence, and pricing across Blaxel, E2B, Daytona, and more.
Compare AI sandbox platforms on isolation technology, compliance, and execution speed. See how microVM vs. container security affects your production agent deployments.
See why ephemeral sandboxes are holding back production AI agents. Compare environments across latency, cost, and state persistence to pick the right fit.
Learn how to build a secure, fast, stateful code execution environment for autonomous agents. Architecture decisions, setup steps, and validation checks.
Compare AWS Lambda and Google Cloud Functions on concurrency, cold starts, pricing, and security. Make the right serverless choice for your production workloads.
Compare top cloud sandbox platforms for AI agents: Blaxel, E2B, Modal, Daytona, and CodeSandbox. Covers isolation, resume speed, state persistence, and pricing.
Learn what AI agent runtimes do, how they differ from frameworks and model serving, and what components matter when evaluating one for production workloads.
Learn how agentic AI architecture connects context assembly, reasoning, memory, and governance layers into a production-grade system that scales beyond single agents.
Learn what runtime threat detection is, why static security fails AI coding agents, and how to architect detection across model, workload, and cloud layers.
Blaxel is a first-class sandbox provider in the OpenAI Agents SDK. AI builders can create agents that safely run arbitrary code in fast, isolated sandboxes on Blaxel's high-performance platform.
Compare TypeScript and Python for building AI agents in production. A decision framework based on team composition, use case, deployment model, and when to use both together.
AWS Lambda has no GPU support in 2026. Learn how enterprise teams build hybrid architectures with Lambda for orchestration, GPU services for inference, and sandbox platforms for agent execution.
Compare MCP and function calling across coupling, governance, reuse, and cost. Learn when to use each, how hybrid architectures work, and a decision framework for multi-team agent platforms.
Compare the top 7 LLMs for coding in 2026, including Claude Opus 4.6, GPT-5.4, Gemini 3.1 Pro, Kimi K2.5, DeepSeek V3.2, Qwen3.5, and Grok 4.1. Benchmarks, pricing, and production fit analyzed.
Explore five production MCP use cases, from secure code execution to cross-system automation. Learn how the Model Context Protocol changes agent architecture and how to adopt it incrementally.
MCP standardizes how AI agents connect to tools. Build integrations once, connect everywhere. Covers protocol details, security, and production deployment.
The gap between prototype and production is where most agent projects stall. Step-by-step deployment, security controls, and scaling for production agents.
Your agent worked in staging. Production exposed every infrastructure gap. Learn the five layers of the AI agent stack and where poor choices hurt most.
AI agents for data analysis accept natural language requests and execute multi-step analytical workflows autonomously. Examples, risks, and how to build.
Guardrails for AI agents constrain autonomous behavior through input filtering, runtime validation, and execution isolation. Covers types, frameworks, and enterprise deployment.
AI agents that write and run code need runtime security beyond traditional AppSec. Covers threats, microVM isolation, and layered defenses for engineering leaders.
40% of agentic AI projects will be canceled by 2027. Learn the policies, technical controls, and infrastructure needed to govern autonomous agents in production.
"Code mode" is now natively supported on Blaxel for OpenAPI-compatible APIs. With this, you can expose any OpenAPI specification to your agents as an MCP server hosted on Blaxel.
Build0 reduced AI infrastructure costs by 80% using Blaxel. Learn how our instant scale-to-zero sandboxes eliminate idle compute for bursty agentic workloads.
SpawnLabs relies on Blaxel's perpetual sandboxes and real-time previews for its coding agents to "see" and iterate on code in real-time before production.
Building for agentics requires more than just containers. We moved to bare metal to give agents instant-launching persistent sandboxes. An anatomy of our runtime.
Docker founding engineers Sam Alba & Andrea Luzzardi built Mendral, the first 24/7 AI DevOps engineer, using Blaxel. See how our secure sandboxes power autonomous agents.
Traditional infrastructure wasn't built to handle AI-generated code that writes itself at runtime. AI sandboxes provide the isolation architecture needed to run untrusted code safely in production.
Blaxel and Rippletide partner to offer enterprises a full-stack solution for deploying secure, high-performance, trustworthy AI agents with real-time code execution and reduced hallucinations.
How we built event-driven usage metering for Blaxel Sandboxes, AI Hosting and Batch Jobs, to ensure credit-based billing only for when compute is really used.
In the rapidly evolving landscape of AI development, LangChain has emerged as a powerful framework that's revolutionizing how developers build AI applications.
Anthropic is signalling a shift from LLMs to compute runtimes. Learn why code execution is the new standard for AI agents and why infrastructure cold starts are the hidden killer of agent performance.