Unverified50% confidenceSolutionExact time
A common cause of Codex getting stuck in a "reconnecting" loop at runtime is that Ollama's default context length is 32K; changing it to 16K or 8K can improve agent speed.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/21/2026
First Seen
Valid until: 1/19/2027
Sources
Related Entities
Related Claims
UnverifiedOpenAI's UltraFast offers up to 8x token generation speed in Codex—300 tokens per second—and introduces a new Pro500 plan with a usage limit 25 times that of Plus.68% similarUnverifiedAn Ollama 14b model combined with SDXL 1024×1024 generation requires approximately 14.5 GB of VRAM, which is tight but barely feasible on a 16 GB card.66% similarUnverifiedOllama dynamically sets the default context length based on detected VRAM: approximately 4,000 tokens for less than 24 GB, approximately 32,000 for 48 GB, and up to 256,000 for higher amounts.66% similarUnverifiedWhen deploying Llama-3.3-70B (bf16) with TP=4 on four cards and keeping the default max-model-len, worker nodes OOM under real long-request traffic of 6k to 8k tokens, and GPUStack promptly restarts them.65% similarUnverifiedWhen connecting to a local Ollama instance, it is Ollama that requires VRAM: a 7B model needs at least 6 GB of VRAM, and a 14B model is recommended to have more than 10 GB of VRAM.63% similar
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