GPU clouds / Jarvislabs alternative

A Jarvislabs alternative for the agent around GPU compute

Jarvislabs offers full VMs, managed Templates, Serverless and clusters. Its VMs retain the disk and installed environment while GPU compute is paused. Separate shared filesystems can also survive instance deletion. Compare those actual retention features with how an agent grows and accesses its whole system between tasks.

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Reviewed 2026-10-19 · Published by the Sandbox0 team

When Jarvislabs fits

Jarvislabs fits GPU training and inference, prepared notebook environments, and full VMs with root access and custom kernel or Docker requirements. Its same-region shared filesystems support datasets reused across instances.

When to consider Sandbox0

Consider Sandbox0 for compatible Linux agents needing automatically growing complete writable RootFS state and supported file access while compute stays paused. Retain the GPU and full-kernel stages on infrastructure that supports them.

Capabilities

Jarvislabs and Sandbox0: what persists?

Feature comparison with documentation and verification status
Environment and runtime lifetimeJarvislabsNot established in this reviewSandbox0ttl and hard_ttl default to 0 (disabled). Configure idle pause and deletion policies for the same persistent sandbox identity; an idle running sandbox still accrues compute charges.Read documentation →
Persistent filesJarvislabsPaused VMs retain the same instance disk; separate shared filesystems can additionally survive instance destruction.View evidence ↗Sandbox0The writable RootFS survives successful checkpoints, including software, system configuration, dependencies, and user data.Read documentation →
Whole RootFSJarvislabsThe full VM keeps its installed environment on its retained disk; managed Template behavior is a separate product path.View evidence ↗Sandbox0Persistence extends beyond /workspace to paths such as /usr/local, /etc, and /home. Runtime tmpfs and virtual filesystems are excluded.Read documentation →
Release compute, keep stateJarvislabsPause ends GPU compute charges while retaining the disk and its storage bill.View evidence ↗Sandbox0Pause compute between tasks; resume on available capacity. Default resume starts fresh processes from the saved filesystem.Read documentation →
Memory and process stateJarvislabsThe published pause guarantee retains disk and environment; persistent process and GPU memory restoration is not established.View evidence ↗Sandbox0Experimental memory checkpoints can preserve compatible process state. Use memory: true on both pause and resume on a compatible deployment. A filesystem checkpoint alone does not preserve running processes.Read documentation →

Online RootFS growth

On growth-enabled images, Sandbox0 automatically expands the writable RootFS as free space runs low, within a configured sparse logical ceiling up to 64 TiB. Agent processes keep running. Growth is enabled in the qualified Cloud region; confirm activation for other regions. Existing images and snapshots retain their captured storage geometry. The ceiling is logical capacity, not preallocated host disk.

Jarvislabs shared storage already supports explicit capacity enlargement in 50 GB steps, and instance disk is retained while paused. Those features differ from automatically extending the whole running writable RootFS when free space is low.

Files while compute is paused

Sandbox0's Files API reads persistent files without resuming compute. Filesystem-only pauses also permit edits; retained-memory pauses are read-only and reject mutations with 409. SSH, SFTP, file watching, and runtime-only mounts require running compute.

A retained VM disk and separately mounted shared filesystem do not by themselves establish whole-RootFS reads and mutations against a paused guest without another instance. Sandbox0’s supported offline operations address the durable RootFS directly under its filesystem-only and memory-pause rules.

See paused file operations →

VM pause already retains the disk and environment

The VM product explicitly preserves the same disk when paused and charges only storage until resume. Full root access permits OS, drivers and Docker changes. Templates use managed kernels and drivers, so their environment scope should not be assumed identical to the full VM. Disk retention does not itself establish continuing RAM or GPU execution state.

Source 1 ↗

Shared filesystems outlive an instance

The account’s filesystem can mount at /home/jl_fs on multiple own instances in the same region. It survives pause, resume and instance destruction, while ordinary instance storage is deleted with the instance. Attach at launch or resume; a running instance must pause before changing the filesystem attachment.

Source 1 ↗Source 2 ↗

Growth and storage charging are explicit

Shared filesystems grow in 50 GB steps up to 10 TB and cannot shrink. They bill allocated capacity, whether full or empty, even with no attached instance. The VM SDK also has storage and resume configuration, but these features do not establish automatic online growth of every OS path.

Source 1 ↗Source 2 ↗

Pricing

Compare billing models, then price your workload

CPU allocation, memory, billing minimums, disk, plan fees, and supported workload differ. These meters are not equal-performance machine quotes. Confirm region, resource units, and included allowances before estimating a total.

Jarvislabs

Pricing reviewed 2026-10-19

H100 SXM on-demand reference
$3.49 per GPU-hour
Rate source ↗
A100 80 GB on-demand reference
$1.49 per GPU-hour
Rate source ↗
Instance storage, including paused disk
$0.00014 per GB-hour
Rate source ↗
Shared filesystem provisioned capacity
$0.00014 per GB-hour
Independent charges continue without attached compute; provisioned size determines billing.
Rate source ↗

GPU prices are per GPU and billed per minute; confirm GPU count and India region availability. Customers outside India use USD, while India pricing is separate. The general price page rounds storage to $0.10/GB-month; the detailed hourly rate is $0.00014/GB-hour. Model APIs and Serverless have different usage scopes.

Check current Jarvislabs pricing ↗

Sandbox0

$0.015/GiB-hour compute (billed by the second at approximately $0.000004167/GiB-second), plus $0.02/GiB-month of retained incremental RootFS and memory checkpoint data. Shared base images and platform recovery retention are excluded; paused sandboxes accrue storage charges only.

Compute / GiB-hour
$0.015
Retained data / GiB-month
$0.02
Paused compute
$0.00

A 4 GiB agent, 100 running hours

$6.00 compute

4 GiB × 100 hours, billed by the second. Keeping 20 GiB of billable incremental data for a full billing month adds $0.40. CPU is derived from memory by the platform; choose a tier that fits your workload.

Understand storage billing →

Before migrating from Jarvislabs

  1. Distinguish full VMs from Templates, Serverless and model APIs; inventory instance OS changes and independent shared filesystem data.
  2. Keep necessary GPU or full-kernel stages and port compatible Linux agent code, tools, credentials and network policy.
  3. Verify pause recovery, growing system files, supported paused access and instance deletion boundaries; compare GPU minutes and all retained capacity.

Common questions

Is Sandbox0 a drop-in Jarvislabs replacement?

Evaluate API compatibility and product scope. These products serve different core workflows, so a change may require a different architecture.

Does keeping files also keep a running agent?

Filesystem state and volatile process state are separate. Sandbox0 requires explicit compatible memory checkpoints to preserve running processes; its default filesystem resume starts fresh processes.

Sources and review scope

The Boat team's Battleships directory is the discovery source. References below describe the product and plan discussed on this page. Check current availability, regional terms and billing units before migrating. Where the cited material does not establish a capability or price, the comparison identifies that uncertainty.

Battleships research record ↗jarvislabs.ai/products/vm ↗jarvislabs.ai/products/filesystems ↗docs.jarvislabs.ai/filestorage/ ↗docs.jarvislabs.ai/sdk ↗jarvislabs.ai/pricing ↗Sandbox0 RootFS capacity →

Related comparisons

Azure GPU VMs (NC_A100_v4 reference) vs Sandbox0 →Cerebrium Serverless Compute vs Sandbox0 →Crusoe vs Sandbox0 →DigitalOcean GPU Droplets vs Sandbox0 →Fluidstack vs Sandbox0 →Google Compute Engine GPU VMs vs Sandbox0 →