Modal
Modal is a cloud computing infrastructure company focused on providing developers and enterprises with a high-performance serverless computing platform. Its core services include GPU-accelerated computation, containerized task scheduling, and sandbox environment execution, supporting compute-intensive workloads such as machine learning training, inference, and data processing. Modal is characterized by on-demand billing, rapid deployment, and scalability, serving users in AI development and scientific computing.
Core Facts
Muse Spark Open can be called on the day of release through platforms such as Baseten, Fireworks AI, Groq, Modal, Nebius, OpenRouter and Together AI.
Modal is a serverless cloud computing platform for AI and machine learning workloads that charges based on actual computation time, with no need to reserve GPU instances.
Generated code should be run inside an isolated sandbox; common implementations include Docker combined with seccomp, gVisor user-space kernel isolation, and the E2B cloud sandbox service.
Timeline (last 90 days)
Cognition, Modal and Bun have already entered developers' view, and more companies founded by Scale alumni remain to be validated.
Modal's founder is Akshat (@akshat_b).
The Agent cloud infrastructure track is heating up: public cloud vendors are launching sandbox services for Agents, and startups such as E2B and Modal are also competing for the same group of developers.
Modal focuses on serverless GPU computing and containerized workflows, suited to model inference and batch processing tasks.
Modal's core business is letting developers call GPUs on demand without worrying about the underlying machines.
Modal's product design emphasizes preinstalling common dependencies into the image layer to reduce runtime pull overhead.
Platforms such as Modal typically combine multiple approaches to achieve GPU isolation: enabling MIG on supported hardware and, for hardware that does not support it, doing finer-grained packing and preemptive reclamation at the scheduling layer.
In community discussions, E2B and Daytona are the most frequently mentioned hosted sandbox solutions; Modal attracts attention for its serverless GPU and sandbox capabilities.
Modal and Daytona provide full remote container/VM execution environments with filesystems, network isolation and process management, suitable for executing arbitrary code.
The backends listed in the Deep Agents sandbox documentation include Modal, Daytona, Deno and Node VFS.
25 more timeline events
All Facts (20)
Muse Spark Open can be called on the day of release through platforms such as Baseten, Fireworks AI, Groq, Modal, Nebius, OpenRouter and Together AI.
90%VerifiedModal is a serverless cloud computing platform for AI and machine learning workloads that charges based on actual computation time, with no need to reserve GPU instances.
75%VerifiedGenerated code should be run inside an isolated sandbox; common implementations include Docker combined with seccomp, gVisor user-space kernel isolation, and the E2B cloud sandbox service.
65%UnverifiedModal专注于Python生态的GPU/CPU计算任务，Trigger.dev使用TypeScript定位为持久化工作流引擎
85%UnverifiedModal是专为AI工作负载构建的云平台，其自定义容器运行时能在任何镜像上实现亚秒级启动，支持扩展到数十万个并发沙箱，并按需提供CPU和GPU资源
85%UnverifiedWell-known code execution sandboxes in the industry include E2B, Modal, and CodeSandbox, which provide mature infrastructure for AI code execution
60%UnverifiedSandboxes are typically implemented via Docker containers or virtual machines, where AI can freely perform high-risk operations without affecting online services.
60%UnverifiedCognition, Modal and Bun have already entered developers' view, and more companies founded by Scale alumni remain to be validated.
50%UnverifiedModal's founder is Akshat (@akshat_b).
50%UnverifiedModal focuses on serverless GPU computing and containerized workflows, suited to model inference and batch processing tasks.
50%UnverifiedThe Agent cloud infrastructure track is heating up: public cloud vendors are launching sandbox services for Agents, and startups such as E2B and Modal are also competing for the same group of developers.
50%UnverifiedPlatforms such as Modal typically combine multiple approaches to achieve GPU isolation: enabling MIG on supported hardware and, for hardware that does not support it, doing finer-grained packing and preemptive reclamation at the scheduling layer.
50%UnverifiedModal's product design emphasizes preinstalling common dependencies into the image layer to reduce runtime pull overhead.
50%UnverifiedModal's core business is letting developers call GPUs on demand without worrying about the underlying machines.
50%UnverifiedIn community discussions, E2B and Daytona are the most frequently mentioned hosted sandbox solutions; Modal attracts attention for its serverless GPU and sandbox capabilities.
50%UnverifiedThe backends listed in the Deep Agents sandbox documentation include Modal, Daytona, Deno and Node VFS.
50%UnverifiedModal and Daytona provide full remote container/VM execution environments with filesystems, network isolation and process management, suitable for executing arbitrary code.
50%UnverifiedModal extended its Pingora-based proxy so that each image candidate reads data from its own bounded, deduplicated buffer, and set a process-level memory budget to ensure that slow candidates do not add extra latency to production traffic.
50%UnverifiedModal 对 GPU Function 不支持 nonpreemptible 标志，每个 Function 都可能被抢占，抢占概率随运行时长增加。
50%UnverifiedModal 集群最多支持 32 个节点和 256 块 GPU，配备 3,200 Gbps RDMA 网络（B300 上为 6,400 Gbps），采用帮派调度并物理同地部署，每个节点必须使用其所有 GPU。
50%