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Inference Engineering
Comprehensive inference survey from CUDA to Kubernetes, but it's a book not a tool.
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philipkiely
203mo ago
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Sipsa Inference – lossless serving at 50% off
by mounnar·May 11, 2026·2 points·0 comments
AI Analysis
●●●BangerWizardryBig BrainZero to One
SHA-256 verifiable manifests prove lossless compression mathematically, not just statistically.
Strengths
- •Cryptographic verification receipts allow users to audit compression integrity locally.
- •Achieves near-perfect perplexity retention on 405B models running on single 32GB GPUs.
- •Transparent benchmarking matrix with public HuggingFace artifacts for every claim.
Weaknesses
- •Gated access for larger models creates friction for immediate community testing.
- •Verification process requires manual CLI steps rather than automated CI integration.
Category
Target Audience
ML engineers and researchers deploying large language models on limited hardware
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bitsandbytes · AWQ · GGUF
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