The best Jarvis Labs alternative depends on what drives your bill: the hourly rate, or the hours a GPU sits running while nobody uses it. Nodus lists the NVIDIA H100 at $2.60 per GPU-hour on its pricing page, against $3.49 on demand at Jarvis Labs, and by default stops idle development machines after an hour. Stay on Jarvis Labs for its $1.54 H100 spot rate or a full VM in India; pick RunPod for per-second containers, Lambda for 8-GPU instances and Modal for Python functions.
We build Nodus, so read this with that in mind. Every fact about another company links to its own pricing page or docs, and every sum is written out so you can redo it at today's prices.
How does Jarvis Labs bill a training project?
Jarvis Labs bills GPU instances per minute while they run, and charges only for storage while they are paused. Its pricing page lists a 1-GPU NVIDIA H100 SXM instance, with 16 vCPUs and 200 GB of RAM, at $3.49/hr on demand and $1.54/hr on spot. Spot instances "can be interrupted when the capacity is needed, so save your work often", in the page's own words.
Storage has one rate for instance disks and filesystems: $0.10 per GB per month, or $0.00014 per GB per hour, billed on provisioned capacity. Egress within the region is free. There is no free trial, and the minimum credit purchase is $25 for international customers.
Pausing is the habit the whole model is built around. The docs overview tells you to pause an instance when you are done to stop compute billing, and delete it to stop all billing. The jl CLI helps here: jl run train.py --gpu L4 creates an instance, runs your script and pauses the instance when it finishes.
A few rules come with pausing, all from Jarvis Labs' instance docs. Only data under /home survives a pause, so packages installed system-wide are lost. Resuming creates a new instance with your data, and you can change the GPU type or count at that point, but only in the same region. The FAQs add that availability is not guaranteed once a paused instance releases its GPU.
What does a week of fine-tuning cost on Jarvis Labs?
On Jarvis Labs, idle hours cost far more than storage, so whether you pause decides the bill. We worked one week from listed prices for a single H100 SXM. You do 6 hours of real work a day for 5 days, which is 30 GPU-hours, and keep a 100 GB disk for all 168 hours of the week.
Paused every evening, 30 hours at $3.49 cost $104.70. The disk adds 100 x $0.00014 x 168 = $2.35, for $107.05 in total. Forget to pause all week and the GPU bills 168 hours: the 138 extra hours add $481.62, for $586.32 in compute. The same 30 hours on Jarvis Labs spot cost 30 x $1.54 = $46.20, if no interruption forces you to redo work.
On Nodus, the same 30 hours at the $2.60 list price cost $78.00 in compute. A Nodus Workspace stops by itself after idleTimeout, which defaults to 1 hour with no SSH session, editor traffic or running process, per the Workspaces docs. If you walk away each evening without stopping it, that is 5 more hours, or $13.00, for $91.00 in total. Nodus bills retained storage separately and its pricing page does not list a storage rate, so the Nodus figures are compute only.

Jarvis Labs spot is the cheapest week here; leaving an on-demand instance running is the most expensive by far.
The decision rule we take from this: price your idle hours before your hourly rate. If you, or jl run, reliably pause, Jarvis Labs' bill is your working hours plus a few dollars of disk. If your team leaves notebooks open overnight, an automatic idle stop is worth more than any rate difference in the table below.
When is Jarvis Labs spot cheaper than on-demand elsewhere?
Jarvis Labs spot stays cheaper than the Nodus H100 list price until the work you redo after interruptions reaches 68.8% of the run. Every hour on spot costs $1.54, so spot only matches Nodus once total hours reach $2.60 / $1.54 = 1.688 times the plan. Against Jarvis Labs' own on-demand rate the threshold is $3.49 / $1.54 = 2.266, so spot wins until repeated work passes 126.6%.
In practice the money rarely decides it. A script that writes a checkpoint every 30 minutes loses at most half an hour per interruption, far below either threshold. The real cost of spot is your attention: someone has to notice the interruption, resume the instance and restart the script. Our spot vs on-demand guide covers that tradeoff for training in general.
Nodus handles that step for you on a job. The attempts and recovery docs say a machine that stops sending heartbeats gets a replacement prepared after 20 seconds and, on shared capacity, is declared lost after 60 seconds. A Checkpointed run then restarts from its latest committed checkpoint, so it loses at most the work since that save. Nodus restores files, never process memory, so your script still loads its own checkpoint on start.
How do Jarvis Labs GPU prices compare with Nodus?
Nodus lists lower on-demand prices than Jarvis Labs on most cards, and Jarvis Labs spot is lower than Nodus on every card we compared. The exception on demand is the A100 40GB, where Jarvis Labs is a little cheaper.
| GPU | Jarvis Labs on demand | Jarvis Labs spot | Nodus list price |
|---|---|---|---|
| H100 SXM 80 GB | $3.49 | $1.54 | $2.60 |
| H200 SXM 141 GB | $4.59 | $2.29 | $3.593 |
| A100 80GB | $1.49 | $0.89 | $1.09 |
| A100 40GB | $0.89 | $0.79 | $0.904 |
| RTX Pro 6000 96 GB | $2.19 | $1.15 | $1.35 |
| L4 24 GB | $0.44 | $0.29 | $0.43 |
Prices checked November 9, 2026, per GPU-hour for a 1-GPU instance: Jarvis Labs pricing and Nodus pricing. Jarvis Labs' prices include the vCPUs and RAM listed with each card.

Nodus is lower than Jarvis Labs on demand on these cards, and Jarvis Labs spot is lower than both.
Which Jarvis Labs alternative fits which kind of training?
Pick by how your training runs, not by the H100 row alone. Here are four alternatives next to Jarvis Labs, priced for one H100 SXM.
| Platform | H100 SXM per GPU-hour | Billing | What you get | Good fit |
|---|---|---|---|---|
| Jarvis Labs | $3.49 on demand, $1.54 spot | Per minute; storage while paused | Template containers or full VMs, India regions | Notebook work you pause yourself, cheap spot |
| Nodus | $2.60 | Prepaid credits | Jobs, Workspaces, sandboxes, functions | Runs that should restart and stop on their own |
| RunPod | $2.69 Community Cloud, $3.99 Secure Cloud | Per second | Container pods | Containers at a fixed per-second price |
| Lambda | $4.89 on a 1-GPU instance, $4.59 on 8 GPUs, from November 16, 2026 | Per GPU-hour | Instances of 1 to 8 GPUs | Dedicated multi-GPU machines |
| Modal | $3.95 | Per second | Python functions in containers | Code already written as Modal functions |
Prices checked November 9, 2026: Jarvis Labs pricing, Nodus pricing, RunPod pricing, Lambda pricing and Modal pricing. Modal's $0.001097 per second is multiplied out to an hour. Lambda's page says these prices take effect November 16, 2026, and shows current prices after login.
RunPod, like Jarvis Labs' templates, runs your work in containers, but bills per second rather than per minute. Our RunPod alternatives guide goes deeper on it. If you are also weighing TensorDock, our TensorDock alternatives guide prices what a lost host costs.
Can you connect your Jarvis Labs account to Nodus?
Not today. Our cloud accounts docs list Jarvis as paused: new connections and execution are not available.
The same docs describe how this works for providers that are supported. You connect your own account, approve execution access and set a spending limit, and Nodus places your single-node work there first, spending your cloud credits before Nodus capacity. That mode is in Beta, and your provider bills you for its machines directly.
Where is Jarvis Labs the better choice?
Jarvis Labs wins on spot price. Its $1.54 H100 spot rate is the lowest H100 price in either table, and its A100 40GB is $0.89 on demand against $0.904 on Nodus. Its A30 is listed at $0.41/hr on demand, and Nodus does not list an A30.
It also gives you a full machine when you want one. Jarvis Labs' VM docs offer root access, Docker and your own stack, with VPCs, reserved IPs and security groups. Its pricing page lists Instant Clusters of 8-GPU H200 nodes over InfiniBand, created from the dashboard. Its pricing page also publishes rupee rates for customers in India.
The workflow is simple and built for agents too. jl setup installs agent skills so Claude Code or Codex can drive your GPUs, and jl run pauses the instance when a script ends. If you already pause reliably, run in India and like spot, moving will not save you money.
How do you move a Jarvis Labs workflow to Nodus?
Keep your files in a saved home directory and let Nodus stop the machine for you. Install the CLI and sign in, as the install docs show:
pip install nodus-compute
nodus login
For notebook-style work, create a Workspace and connect to it. These commands are from the Workspaces docs:
nodus create workspace lab --gpu H100
nodus ssh workspace/lab
Everything in /home/nodus is saved when the Workspace stops, much like /home on Jarvis Labs. Packages installed outside your home are temporary, so keep a virtual environment there. When a run is ready to go unattended, submit it as a job. This line is the example from the nodus run reference, with a $40 spend cap:
nodus run --gpu H100:8 --max-cost 40 -d -- torchrun train.py
FAQ
Is Jarvis Labs cheaper than Nodus?
On spot, yes: $1.54 per H100 hour against $2.60 on Nodus. On demand, Nodus lists the H100 $0.89 lower at $2.60 against $3.49, though Jarvis Labs' rate includes 16 vCPUs and 200 GB of RAM.
What happens to my data if my Jarvis Labs balance runs out?
Jarvis Labs' FAQs say instances pause automatically when the balance reaches zero. If the balance goes negative, all data is permanently deleted and cannot be recovered, so keep a copy of checkpoints elsewhere.
Does Jarvis Labs offer GPUs outside India?
Its pricing FAQ says it currently offers GPUs in India. The CLI docs list two regions, IN1 and IN2, and say the EU1 region no longer accepts new instances.
Does Jarvis Labs refund unused credit?
Its pricing FAQ says it does not offer refunds, though you can email its team with a valid reason for review. Buy credit in amounts you expect to use; the minimum is $25 for international customers.
Originally published on the Nodus blog.
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