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All blog posts, tools, and guides about Inference from Developers Digest.
17 resources - 10 posts, 7 tools

Cloudflare's GLM-5.3 Workers AI endpoint returned other customers' data in 155 long-prompt responses. What broke in SGLang, the upgrade and config checklist, and what API users should ask.

DeepSeek open-sourced DeepInfer, the inference engine behind its API. It is offline-only, V4.1-Flash-only and Blackwell-or-Ascend-only. What it is, what is missing, and who benefits.

Magnitude is an Apache-2.0 inference engine that tunes kernels on your hardware and plugs into OpenCode, Codex and Claude Code. What shipped, where it breaks.

Cloudflare runs Kimi K2.6 and GLM 5.2 on Workers AI with FP8 KV caches, INT4 weights and a KV cache integrity check. What each technique buys on GPU fleets.

AMD MI355X vs NVIDIA B200 vs B300 for serving Kimi K3's about 1.5TB of open weights: verified specs, the Wafer benchmark, and cost per token for each.

A new multi-model orchestration system routes requests across open-weight models to match frontier performance at reduced inference cost. Here is what we know.

A fair comparison of vLLM, TGI, SGLang, TensorRT-LLM, llama.cpp, and LMDeploy for self-hosted LLM inference - batching, quantization, hardware, and ops.

CBRS stock trended after Cerebras' first public earnings. What public-market scrutiny of fast AI inference means for developers - not investment advice.

DiffusionGemma is Google's 26B MoE open model that generates 256-token blocks in parallel. What diffusion generation means for latency and local inference.

How KV caching speeds up LLM inference - the math, the code, the memory tradeoffs, and when it stops helping. Every dev running local models hits this wall.
Run 50,000+ ML models with a simple API. No infrastructure management. Pay-per-second billing. Deploy custom models with Cog. Popular for image generation and audio.
InfrastructureFastest inference for open-source models. 200+ models via unified API. Ranks #1 on speed benchmarks for DeepSeek, Qwen, Kimi, and Llama. Serverless pay-per-token pricing.
InfrastructureLPU-powered inference at about 500 to 1,000 tokens/sec on GPT OSS models. Purpose-built chip with on-chip SRAM instead of HBM. OpenAI-compatible API. Free tier available.
InfrastructureWafer-scale AI inference at 3,000+ tokens/sec. The WSE-3 chip has 4 trillion transistors and 900K AI cores. 20x faster than GPU providers. OpenAI partnership for inference.
InfrastructureC++ inference engine for LLMs. GGUF format, quantization, CPU and Metal/CUDA support. The foundation most local tools build on.
Local AIHigh-throughput inference server for LLMs. PagedAttention memory management. The go-to for serious local or self-hosted serving.
Local AIApple's array framework for machine learning on Apple Silicon. Native Metal support, unified memory, first-class LLM inference.
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