If you are asking, “Oracle Cloud VPS par 24/7 YouTube stream chalane ka monthly kharcha kitna hai India mein”, the honest starting answer is that the cloud-infrastructure baseline can be ₹0/month if your tenancy’s A1 compute and outbound transfer fit Oracle’s published allowances. It is conditional, not a promise: account category, home-region capacity, VM shape, encoding workload and resources outside those allowances can change the result.
A 2-OCPU, 12-GB A1 instance running continuously for a 30-day month fits the arithmetic of both the published paid-tenancy A1 allowance and the separate Always Free A1 allowance. That does not mean every account can provision it, that it will encode your video successfully, or that every resource used by your stream is included.
When the cloud baseline can be ₹0
A VPS stream has several possible cost lines: compute while the instance runs, storage for the operating system and media, outbound data transfer to YouTube, and any extra cloud services you choose. Oracle publishes monthly A1 compute allowances for two account categories and an APAC outbound-transfer allowance. If your actual usage remains within the relevant allowances, those lines may have no charge; if it does not, the bill depends on the applicable rates and resources.
That is why “Oracle VPS is free” is too broad an answer. An Always Free tenancy and a paid tenancy have different A1 allowance figures. The paid-tenancy allowance is not the Always Free limit, and a free allowance does not automatically cover unrelated storage, services, or traffic outside its terms.
For an estimate, start with the VM configuration you expect to keep running, calculate its monthly OCPU-hours and memory-hours, then estimate the outgoing video volume from your chosen bitrate. After that, check whether the account, region, and additional resources match the published conditions. Oracle’s India price list and Always Free resource documentation are the primary references for the allowances; verify the current wording and your console estimate before deployment.
Two A1 allowances, two account categories
Oracle’s India price list lists the first 3,000 OCPU-hours and 18,000 GB-hours per month of Ampere A1 Compute for each paid tenancy at no charge. The allowance is shared across A1 Bare Metal, Virtual Machine and Container Instances, rather than being a separate allocation for each service type. Oracle’s Always Free documentation separately lists 1,500 OCPU-hours and 9,000 GB-hours per month for A1, equivalent to 2 OCPUs and 12 GB of memory.
| Tenancy category | Published A1 monthly allowance | Practical meaning for one 2-OCPU, 12-GB VM for 30 days |
|---|---|---|
| Paid tenancy | 3,000 OCPU-hours and 18,000 GB-hours | The instance’s calculated use is below both figures, before other A1 use in the tenancy. |
| Always Free tenancy | 1,500 OCPU-hours and 9,000 GB-hours | The instance’s calculated use is below both figures, before other A1 use in the tenancy. |
These figures are not interchangeable. In a paid tenancy, other A1 workloads can draw on the shared allowance; in an Always Free tenancy, other A1 usage also matters against that tenancy’s smaller monthly allocation. Nor does the table imply you can always create the instance: capacity and eligibility are separate questions.
If you already have an Oracle tenancy, confirm its category and inspect existing A1 usage before assuming the full allowance is available for a new stream. If you are comparing cloud with equipment at home, the home PC versus VPS cost comparison can help you include electricity and local hardware in the comparison rather than looking only at a cloud line item.
Estimate compute use for a 24/7 VM
The basic calculation is provisioned OCPUs multiplied by the hours the VM runs in the month; for memory-hours, multiply provisioned GB by those same hours. For a 30-day month, the elapsed time is 720 hours. A 2-OCPU, 12-GB VM therefore uses 2 × 720 = 1,440 OCPU-hours and 12 × 720 = 8,640 GB-hours.
Those calculated amounts sit below the documented A1 monthly allowance for either account category, assuming the instance uses that shape for the full month and no other A1 instances consume part of the same pool. The calculation describes resource consumption, not a bill for your specific account. A longer billing period, a different shape, other A1 use, or changes to Oracle’s policies alter the result.
Use the same arithmetic for your planned configuration. A one-OCPU instance kept on for 720 hours uses 720 OCPU-hours; a three-OCPU instance uses 2,160. For memory, a VM configured with 8 GB for 720 hours uses 5,760 GB-hours. These examples are calculations, not separate Oracle quotes or recommendations about what a stream needs.
If the VM is stopped for part of the month, compute use may be lower, but a stream that is meant to run continuously cannot send while its VM is stopped. A restart after a configuration change or a temporary shutdown should be included in your operating plan. Think about the whole tenancy, not only the one instance: the available allowance can be shared with other A1 consumption.
Check memory, region and provisioning constraints
A1 allowance arithmetic only helps if the instance can be provisioned in the first place. Oracle says Always Free resources must be created in the tenancy’s home region. It also warns that Always Free capacity may not be available; a provisioning attempt can return an out-of-host-capacity error, in which case you may need to wait or try another availability domain where applicable. Do not treat a preferred Indian region or a particular VM shape as guaranteed to be available.
Choose a memory and OCPU shape based on what your stream actually has to do. A pre-encoded file being relayed is a different workload from one being decoded, converted to a new codec or resolution, and encoded again in real time. A music station with a prepared loop may have different requirements from a high-frame-rate video channel. Oracle’s published allowance does not state which configuration can encode a particular file reliably.
Before building around a VM, check the current console options in your home region and the eligibility notes for your account. If the desired A1 shape is unavailable, repeatedly retrying does not prove that capacity will appear by a particular time. Consider whether another shape or a prepared file at a lower processing burden suits your needs, while checking how any alternative changes the allowance and bill.
For a loop-based channel, the media workflow matters alongside the VM. The guide to creating a seamless loop for YouTube Live covers the content side: a clean loop can avoid unnecessary editing or conversion in the live setup. It does not establish that a given VM has the capacity to process that file, so test the exact encoding path before relying on it overnight.
Account for storage and resources outside allowances
Compute is only one part of the bill. A VM normally has a boot volume, and a stream workflow may need additional storage for source media, converted files, or backups. Oracle notes that boot volumes and added storage are billed under block-volume pricing beyond applicable free storage. Check the current storage allowance and pricing terms rather than assuming the whole media library is covered by the A1 compute figures.
Review any additional resource you enable: extra volumes, public IP-related services, backups, monitoring, or other cloud services may have their own pricing and allowance rules. The names and terms can change, so use Oracle’s current calculator and console cost-estimate tools for your actual configuration. Do not infer an all-in ₹0 total from an A1 allowance alone.
Outbound transfer deserves its own calculation. Oracle’s India price list lists the first 10 TB per month of outbound data transfer originating in APAC as free. That is a stated tier, not unlimited transfer and not a guarantee that all traffic from every account or region is classified the same way. Check the region and billing classification for your instance, and account for other tenancy traffic rather than treating the stream estimate as the only egress.
YouTube’s live encoder guidance recommends 14 Mbps for H.264 1080p30 and 17 Mbps for H.264 1080p60. At a steady 14 Mbps, the stream’s payload is about 4.54 TB over a 30-day month: 14 megabits per second × 2,592,000 seconds ÷ 8, converted to decimal terabytes. This is a transparent estimate of the encoded feed, not a published traffic statistic or a guarantee about the tenancy’s total billed transfer. Protocol overhead and other traffic can affect actual usage.
That estimate is below Oracle’s listed 10 TB APAC tier if the region and billing classification qualify and no other egress consumes the allowance. If you choose a higher bitrate, use the same calculation with your bitrate and expected hours. For a general guide to preparing and rotating channel media, see building a 24/7 focus-music radio channel with rotating visuals; the content plan still needs to fit the transfer and processing assumptions you make for the VM.
Consider whether the VM can encode the stream
A VM can run out of allowance arithmetic and still be the wrong machine for the job. If your file is already encoded in a suitable format and your software can send it without transcoding, the processing load may differ substantially from a workflow that decodes and re-encodes video continuously. A CPU-only configuration should not be assumed to handle a codec, resolution or frame rate just because the instance has two OCPUs.
YouTube’s recommended settings are useful as an output target, not as a VM performance test. Its live encoder page gives H.264 recommendations of 14 Mbps for 1080p30 and 17 Mbps for 1080p60, with higher or lower settings depending on the video mode. It also explains that YouTube transcodes incoming live streams for viewers. That downstream YouTube processing does not remove the need for your sending setup to create or relay a stable input stream.
Test the exact file, codec, resolution and sending software on the intended configuration before treating the setup as ready for continuous use. Watch for sustained CPU load, dropped frames, audio drift, reconnect behaviour and whether the loop resumes at the right point after a process restart. A brief successful preview is not evidence that a full night or month will behave the same way.
If your workflow depends on a process that exits when playback reaches the end, the stream itself may stop even though the VM remains available. The troubleshooting article on a 24/7 stream going offline when FFmpeg exits explains that failure mode. A restart policy or a different loop method can help with process exits, but it cannot fix a VM that lacks the processing capacity for the chosen encode.
Verify eligibility and actual billing before relying on an estimate
Oracle’s allowances and pricing pages are live references, not a substitute for reviewing your account. Before relying on an estimate, check the current India price list, the detailed Always Free resource page if relevant, the account’s tenancy category, the home region, and the resources already in use. Oracle describes free resources as available in the tenancy’s home region; the detailed A1 limits and eligibility conditions matter for the specific account.
Use Oracle’s cost estimator or console estimate with the intended VM shape, storage, region and any other enabled services. Check the first bill or usage view after provisioning, too. A calculator is only as complete as the configuration entered, and an allowance used by another resource can change what remains available. If the cost view differs from your arithmetic, investigate it before leaving a configuration running.
Do not count a Free Trial credit as a recurring monthly discount. Oracle describes its trial separately from Always Free resources; a time-limited credit does not establish a continuing ₹0 baseline. Likewise, a price or allocation seen in documentation today can change, so recheck the official pages before creating or expanding the VM.
Finally, budget for the operation as well as the cloud account. You remain responsible for the YouTube channel, its stream key, content rights, and the way the channel is operated. Review YouTube’s current live streaming requirements and your own account’s status; neither an infrastructure allowance nor a successful test stream guarantees approval or uninterrupted broadcasting. For the service described here, StreamNeo removes the need to keep your own computer encoding and sending the file by running the uploaded video as a YouTube live stream from the cloud, but it is YouTube-only and does not change your content or channel obligations.
Before committing, compare the operating options on the pricing page. When the file and channel are ready, start free — 24-hour trial, no card.
FAQ
Is Oracle Cloud free for a 24/7 YouTube stream in India?
It can have a ₹0 cloud-infrastructure baseline if the account qualifies for the applicable A1 allowance, usage fits within it, and the relevant outbound transfer and other resources remain within their terms. That is not a guarantee that your account can provision the VM or that all resources are covered. Check the tenancy, region, current allowances and billing estimate.
Are the paid-tenancy and Always Free A1 limits the same?
No. Oracle’s India price list lists 3,000 OCPU-hours and 18,000 GB-hours per month for A1 in a paid tenancy, while its Always Free documentation lists 1,500 OCPU-hours and 9,000 GB-hours for Always Free tenancies. Treat them as separate account-category allowances, and check any other A1 use against the applicable pool.
Does 10 TB of free outbound transfer mean my stream has unlimited bandwidth?
No. Oracle lists the first 10 TB per month of APAC-originating outbound transfer as free, subject to the account and billing classification. The 14 Mbps example estimates about 4.54 TB for one continuous 30-day feed, not the tenancy’s total traffic or a promise of unlimited transfer.
Will a 2-OCPU VM encode my video for 24/7 streaming?
The allowance calculation shows resource-hours, not encoding performance. YouTube publishes recommended encoder settings but does not certify a particular Oracle VM shape for your file or software. Test the real workflow and monitor it before relying on it continuously.