Run nomic-embed-text v1.5 on a VPS.
September 2026 · 242 of 280 plans fit · re-ranked daily
Default RAG embedder in Ollama; negligible memory, runs alongside anything. On a CPU-only VPS it needs about 2.1 GB of RAM: 307 MB of weights in the model's native format and 1.5 GB for the OS and runtime. 242 of the 280 plans in our index fit; the cheapest comfortable pick is OVHcloud's VPS-1 2027 · 2 vCPU / 4 GB at $5.35/mo.
RAM needed · CPU inference
2.1 GB
- weights · native format
- 307 MB
- OS + runtime headroom
- 1.5 GB
Model card
- Size
- 0.14B parameters
- Context
- 2K tokens
- Kind
- embedding
- Released
- 2024-02
- License
- Apache-2.0
Facts fetched from Hugging Face on 3 Sept 2026: exact GGUF file sizes, KV geometry from the GGUF header · 16,175,054 downloads.
Best VPS plans for nomic-embed-text v1.5
ranked by price among plans that fit
- 1runs comfortably$5.35/mo
- 2runs comfortably$5.78/mo
- 3runs comfortably$6.38/mo
- 4runs comfortably$6.39/mo
- 5runs comfortably$6.96/mo
- 6runs comfortably$8.72/mo
Frequently asked
- How much RAM does nomic-embed-text v1.5 need?
- About 2.1 GB for CPU inference at Q4_K_M: 307 MB of weights, 307 MB of KV cache at 8,192 tokens of context, and 1.5 GB of headroom. Longer contexts need more KV cache (36 KB per token for this model).
- What is the cheapest VPS that can run nomic-embed-text v1.5?
- OVHcloud VPS-1 2027 · 2 vCPU / 4 GB (4 GB RAM, 2 vCPU) at $5.35/mo excl. VAT runs it comfortably as of 5 Sept 2026.
- How fast will nomic-embed-text v1.5 run on a VPS without a GPU?
- Embedding models are small and CPU-friendly; throughput scales with vCPUs rather than RAM.