Project Zero Alternatives
CPU-only LLM inference engine in C with no runtime dependencies
Project Zero is an inference engine written in C99 that runs BitNet b1.58 ternary models and dense GGUF models on CPU, with no GPU, no Python and no ML framework.
Explore 4 alternatives to Project Zero across 1 category. Updated October 2026.
Featured
Decision Models
Hosted open decision models behind a Jev-compatible API, with an EU-only tier and a lower-cost Peer-to-Peer tier
$0.019 per 1M input tokens (s1-fast), output free
Lium
GPU rental marketplace where independent providers list verified NVIDIA hosts, billed per second
From $0.06/GPU-hour (RTX 3060, 15 Oct 2026)
NanoGPT
One OpenAI-compatible API for 600+ models, with text billed at provider list prices
Pay per prompt, from $0.10
Heabsy
EU inference API on its own GPUs in the EEA, with zero data retention and OpenAI- and Anthropic-compatible endpoints.
From $0.095 per 1M input tokens (flagship Qwen3.8 27B $1.00)
Top Project Zero alternatives at a glance
- vLLM. High-throughput LLM inference engine with PagedAttention for efficient GPU memory usage
- SGLang. High-performance open-source serving framework for LLMs and multimodal models
- KV Cache Store. Build, share and reuse precomputed KV-cache artifacts to skip redundant prefill
- Xinference. Open-source inference engine for 300+ open models, plus a hosted API and managed GPUs served from Australia
Compare Project Zero with its alternatives
| Product | Pricing Model | Free Tier | Open Source | Hosting | HQ |
|---|---|---|---|---|---|
| Project Zero | Free | ✓ | ✓ MIT | Self-hosted | — |
| vLLM | Free | ✓ | ✓ APACHE-2.0 | Self-hosted | ๐บ๐ธ United States |
| SGLang | Free | — | ✓ APACHE-2.0 | Self-hosted | — |
| KV Cache Store | — | ✓ | ✓ | — | — |
| Xinference | Freemium | ✓ | ✓ APACHE-2.0 | Cloud + Self-hosted | ๐ธ๐ฌ Singapore |
๐ค Inference APIs
vLLM
High-throughput LLM inference engine with PagedAttention for efficient GPU memory usage
Browse all 150 Inference APIs products
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