NVIDIA runs out of memory

DevOps and infra4 posts from 4 people4d active+22 posts in the last 7 days, 0 the 7 days before (rising)

Posts per day4 posts, Oct 3 to Oct 21

The posts behind it

4, newest first

GitHub issuesOct 17 emory exhaustion (OOM freeze) on NVIDIA Jetson Orin (8GB RAM) due to unconstrained prompt caching...a 12.8K token context window. Even with `keep_alive=0`, the cumulative memory growth and lack of automatic adaptation to low-RAM hardware leads to a kernel OOM (Out-Of-Memory) freeze, forcing a hard reset (power cut). Please consider making the prompt cache limits dynamically...ollama/ollama · M1k3901 repliesOpen ↗GitHub issuesOct 15 [symm_mem] Local CUDA allocation leaks acquired resources when VMM setup fails...that failures can occur during address reservation and mapping. I verified this lack of cleanup by using deterministic fault injection during the reservation, mapping, and access setup phases; however, I have not yet reproduced the issue naturally in actual workloads, nor have I...pytorch/pytorch · jackLei09012 repliesOpen ↗GitHub issuesOct 7 [Bug]: FP8 KV cache startup can OOM because CUDA graph memory is omitted from the cache budget### Your current environment The output of python collect_env.py ### 🐛 Describe the bug On a 24 GiB GPU, `LLM(..., kv_cache_dtype="fp8")` is accepted but fails during startup with an out-of-memory error, while the identical engine using the default KV cache dtype answers...vllm-project/vllm · the-Shallow5 repliesOpen ↗GitHub issuesOct 3 Magnitude 0.2.4 on Windows: service never starts — engine crashes during startup with BEX64 (0xC0000409) / 0xC0000005 before readiness# Magnitude 0.2.4 on Windows: service never starts - engine crashes during startup with BEX64 (0xC0000409) / 0xC0000005 before readiness ## Summary On Windows with an NVIDIA RTX 5090, the shipped `icn-base-windows-x64-msvc` engine of 0.2.4 dies during startup, so the ACN service...magnitudedev/magnitude · pipti1 repliesOpen ↗

Companies and products named

About this problem

Evidence

4 posts from 4 people in 4 places, about 1 a week over 15 days. Mostly on magnitudedev/magnitude, vllm-project/vllm, ollama/ollama. Tools named alongside: vLLM, Ollama, Codex, PyTorch.

Frustration Frustration 0 of 3· Seen on GitHub issues

How it was grouped

Posts that state a pain and match the "oom" rule about NVIDIA. First post Oct 3, 2026, latest Oct 17, 2026. Corroborated: 3 or more posts from 2 or more people or places. Method

The same problem elsewhere

Elsewhere9 postsGemini runs out of memory Elsewhere9 postsJobs and services run out of memory Elsewhere5 postsGitHub runs out of memory Elsewhere4 postsDuckDB runs out of memory Elsewhere4 postsApache Iceberg runs out of memory Elsewhere3 postsPolars runs out of memory Elsewhere2 postsvLLM runs out of memory Elsewhere2 postsOllama runs out of memory Elsewhere2 postsllama.cpp runs out of memory Elsewhere2 postsApache Airflow runs out of memory Elsewhere2 postsMistral runs out of memory

Other NVIDIA problems

Same product7 postsNVIDIA GPU access and drivers are painful Same product34 postsNVIDIA users keep filing bugs Same product77 postsNVIDIA vulnerabilities are hard to triage and patch Same product10 postsRunning NVIDIA locally hits memory and speed limits Same product7 postsNVIDIA upgrades break working setups Same product5 postsTrouble with NVIDIA account Same product3 postsNVIDIA lock-in makes switching costly Same product3 postsTrouble with NVIDIA inductor Same product2 postsTrouble with NVIDIA phone Same product2 postsFine-tuning NVIDIA is costly and unpredictable Same product2 postsNVIDIA error messages are cryptic Same product1 postTrouble with NVIDIA careers

History

MomentumOct 21, 2026steady to rising

CorroborationOct 20, 2026unverified to corroborated

MomentumOct 20, 2026fading to steady

MomentumOct 14, 2026steady to fading

AddedOct 12, 2026NVIDIA runs out of memory (2 posts)