# Semantic Search Demo Fails on Some Machines But Not Others **URL:** https://discuss.elastic.co/t/semantic-search-demo-fails-on-some-machines-but-not-others/380743 **Category:** Elasticsearch **Created:** [August 5, 2025, 4:08am UTC](https://discuss.elastic.co/t/semantic-search-demo-fails-on-some-machines-but-not-others/380743 "2025-08-05T04:08:18Z") **Posts on this page:** 1 **Page:** 1
### Author: ![learningelastic](https://avatars.discourse-cdn.com/v4/letter/l/958977/32.png) [@learningelastic](https://discuss.elastic.co/u/learningelastic) #### Post date: [August 5, 2025, 4:08am UTC](https://discuss.elastic.co/t/semantic-search-demo-fails-on-some-machines-but-not-others/380743/1 "2025-08-05T04:08:18Z")
I am trying out this guide on semantic search: > **[Semantic search with semantic\_text | Elastic Docs](https://www.elastic.co/docs/solutions/search/semantic-search/semantic-search-semantic-text)** > > This tutorial shows you how to use the semantic text feature to perform semantic search on your data. Semantic text simplifies the inference workflow... **My first attempt was a success** (hooray!). I did it on a VM provider called [linode.com](http://linode.com), and I used a VM with 16GB memory, 6 CPUs, ubuntu 24.04 and elasticsearch 9.1. Then I repeated the experiment locally on VirtualBox, which failed. I installed a guest OS of Ubuntu 24.04 with 12GB memory, 8 CPU cores, ubuntu 24.04 and elasticsearch 9.1. Things failed at this step: ```auto POST _reindex?wait_for_completion=false { "source": { "index": "test-data", "size": 10 }, "dest": { "index": "semantic-embeddings" } } ``` I took a look at the task and it shows these errors: ```auto GET _tasks/KP41JOh2QJebxixKnGlEhQ:16355 { "completed": true, "task": { "node": "KP41JOh2QJebxixKnGlEhQ", "id": 16355, "type": "transport", "action": "indices:data/write/reindex", "status": { "total": 182469, "updated": 0, "created": 0, "deleted": 0, "batches": 1, "version_conflicts": 10, "noops": 0, "retries": { "bulk": 0, "search": 0 }, "throttled_millis": 0, "requests_per_second": -1, "throttled_until_millis": 0 }, "description": "reindex from [test-data] to [semantic-embeddings]", "start_time_in_millis": 1754365306642, "running_time_in_nanos": 157589444755, "cancellable": true, "cancelled": false, "headers": { "trace.id": "b9bc6b5958fac8cbcfacb807ba464182" } }, "response": { "took": 157589, "timed_out": false, "total": 182469, "updated": 0, "created": 0, "deleted": 0, "batches": 1, "version_conflicts": 10, "noops": 0, "retries": { "bulk": 0, "search": 0 }, "throttled": "0s", "throttled_millis": 0, "requests_per_second": -1, "throttled_until": "0s", "throttled_until_millis": 0, "failures": [ { "index": "semantic-embeddings", "id": "vh1LeJgBl0uqXQhGf0tw", "cause": { "type": "inference_exception", "reason": "Exception when running inference id [.elser-2-elasticsearch] on field [content]", "caused_by": { "type": "status_exception", "reason": "Error in inference process: [inference canceled as process is stopping]" } }, "status": 409 }, { "index": "semantic-embeddings", "id": "vx1LeJgBl0uqXQhGf0tw", "cause": { "type": "inference_exception", "reason": "Exception when running inference id [.elser-2-elasticsearch] on field [content]", "caused_by": { "type": "status_exception", "reason": "Error in inference process: [inference canceled as process is stopping]" } }, "status": 409 }, { "index": "semantic-embeddings", "id": "wB1LeJgBl0uqXQhGf0tw", "cause": { "type": "inference_exception", "reason": "Exception when running inference id [.elser-2-elasticsearch] on field [content]", "caused_by": { "type": "status_exception", "reason": "Error in inference process: [inference canceled as process is stopping]" } }, "status": 409 }, { "index": "semantic-embeddings", "id": "wR1LeJgBl0uqXQhGf0tw", "cause": { "type": "inference_exception", "reason": "Exception when running inference id [.elser-2-elasticsearch] on field [content]", "caused_by": { "type": "status_exception", "reason": "Error in inference process: [inference canceled as process is stopping]" } }, "status": 409 }, { "index": "semantic-embeddings", "id": "wh1LeJgBl0uqXQhGf0tw", "cause": { "type": "inference_exception", "reason": "Exception when running inference id [.elser-2-elasticsearch] on field [content]", "caused_by": { "type": "status_exception", "reason": "Error in inference process: [inference canceled as process is stopping]" } }, "status": 409 }, { "index": "semantic-embeddings", "id": "wx1LeJgBl0uqXQhGf0tw", "cause": { "type": "inference_exception", "reason": "Exception when running inference id [.elser-2-elasticsearch] on field [content]", "caused_by": { "type": "status_exception", "reason": "Error in inference process: [inference canceled as process is stopping]" } }, "status": 409 }, { "index": "semantic-embeddings", "id": "xB1LeJgBl0uqXQhGf0tw", "cause": { "type": "inference_exception", "reason": "Exception when running inference id [.elser-2-elasticsearch] on field [content]", "caused_by": { "type": "status_exception", "reason": "Error in inference process: [inference canceled as process is stopping]" } }, "status": 409 }, { "index": "semantic-embeddings", "id": "xR1LeJgBl0uqXQhGf0tw", "cause": { "type": "inference_exception", "reason": "Exception when running inference id [.elser-2-elasticsearch] on field [content]", "caused_by": { "type": "status_exception", "reason": "Error in inference process: [inference canceled as process is stopping]" } }, "status": 409 }, { "index": "semantic-embeddings", "id": "xh1LeJgBl0uqXQhGf0tw", "cause": { "type": "inference_exception", "reason": "Exception when running inference id [.elser-2-elasticsearch] on field [content]", "caused_by": { "type": "status_exception", "reason": "Error in inference process: [inference canceled as process is stopping]" } }, "status": 409 }, { "index": "semantic-embeddings", "id": "xx1LeJgBl0uqXQhGf0tw", "cause": { "type": "inference_exception", "reason": "Exception when running inference id [.elser-2-elasticsearch] on field [content]", "caused_by": { "type": "status_exception", "reason": "Error in inference process: [inference canceled as process is stopping]" } }, "status": 409 } ] } } ``` I looked in `/var/log/elasticsearch/es-demo.log` and it shows tehse errors: ```auto [2025-08-05T03:44:24,141][ERROR][o.e.x.m.p.AbstractNativeProcess] [esdemo] [.elser-2-elasticsearch] pytorch_inference/16853 process stopped unexpectedly: Fatal error: 'si_signo 4, si_code: 2, si_errno: 0, address: 0x729644ee0c9f, library: /usr/share/elasticsearch/modules/x-pack-ml/platform/linux-x86_64/bin/../lib/libtorch_cpu.so, base: 0x72963da00000, normalized address: 0x74e0c9f', version: 9.1.0 (build c56874a35d5f4c) [2025-08-05T03:44:24,142][ERROR][o.e.x.m.i.d.DeploymentManager] [esdemo] [.elser-2-elasticsearch] inference process crashed due to reason [[.elser-2-elasticsearch] pytorch_inference/16853 process stopped unexpectedly: Fatal error: 'si_signo 4, si_code: 2, si_errno: 0, address: 0x729644ee0c9f, library: /usr/share/elasticsearch/modules/x-pack-ml/platform/linux-x86_64/bin/../lib/libtorch_cpu.so, base: 0x72963da00000, normalized address: 0x74e0c9f', version: 9.1.0 (build c56874a35d5f4c) ] [2025-08-05T03:44:24,144][INFO][o.e.x.m.i.d.DeploymentManager] [esdemo] Inference process [.elser-2-elasticsearch] failed due to [[.elser-2-elasticsearch] pytorch_inference/16853 process stopped unexpectedly: Fatal error: 'si_signo 4, si_code: 2, si_errno: 0, address: 0x729644ee0c9f, library: /usr/share/elasticsearch/modules/x-pack-ml/platform/linux-x86_64/bin/../lib/libtorch_cpu.so, base: 0x72963da00000, normalized address: 0x74e0c9f', version: 9.1.0 (build c56874a35d5f4c) ]. This is the [1] failure in 24 hours, and the process will be restarted. [2025-08-05T03:44:24,142][ERROR][o.e.x.m.i.p.p.PyTorchResultProcessor] [esdemo] [.elser-2-elasticsearch] Error processing results org.elasticsearch.xcontent.XContentEOFException: [3:1] Unexpected end of file at org.elasticsearch.xcontent.provider.json.JsonXContentParser.nextToken(JsonXContentParser.java:64) ~[?:?] at org.elasticsearch.xpack.ml.process.ProcessResultsParser$ResultIterator.hasNext(ProcessResultsParser.java:70) ~[?:?] at org.elasticsearch.xpack.ml.inference.pytorch.process.PyTorchResultProcessor.process(PyTorchResultProcessor.java:105) ~[?:?] at org.elasticsearch.xpack.ml.inference.deployment.DeploymentManager.lambda$startDeployment$2(DeploymentManager.java:180) ~[?:?] at org.elasticsearch.common.util.concurrent.ThreadContext$ContextPreservingRunnable.run(ThreadContext.java:977) ~[elasticsearch-9.1.0.jar:?] at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1095) ~[?:?] at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:619) ~[?:?] at java.lang.Thread.run(Thread.java:1447) ~[?:?] Caused by: com.fasterxml.jackson.core.io.JsonEOFException: Unexpected end-of-input: expected close marker for Array (start marker at [Source: (FileInputStream); line: 2, column: 1]) at [Source: (FileInputStream); line: 3, column: 1] at com.fasterxml.jackson.core.base.ParserMinimalBase._reportInvalidEOF(ParserMinimalBase.java:585) ~[?:?] at com.fasterxml.jackson.core.base.ParserBase._handleEOF(ParserBase.java:535) ~[?:?] at com.fasterxml.jackson.core.base.ParserBase._eofAsNextChar(ParserBase.java:552) ~[?:?] at com.fasterxml.jackson.core.json.UTF8StreamJsonParser._skipWSOrEnd2(UTF8StreamJsonParser.java:3135) ~[?:?] at com.fasterxml.jackson.core.json.UTF8StreamJsonParser._skipWSOrEnd(UTF8StreamJsonParser.java:3105) ~[?:?] at com.fasterxml.jackson.core.json.UTF8StreamJsonParser.nextToken(UTF8StreamJsonParser.java:716) ~[?:?] at org.elasticsearch.xcontent.provider.json.JsonXContentParser.nextToken(JsonXContentParser.java:61) ~[?:?] ... 7 more ``` I repeated the experiment on another VM served on proxmox machine, but it also gave the same types of errors as the output above. How come things are only working on some machines but not others?