
Liquid AI's RIPL Engine Beats vLLM by 28x on Real-Time Inference
Liquid AI's new RIPL inference engine runs small Liquid Foundation Models in under 50ms end-to-end, targeting search, ads, fraud, and payments.
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Liquid AI's new RIPL inference engine runs small Liquid Foundation Models in under 50ms end-to-end, targeting search, ads, fraud, and payments.

NVIDIA's new Rust-based inference server targets DGX Spark and RTX Blackwell with ahead-of-time planning, FP8 KV cache, and no Python in the serving loop.

Open-source vLLM reproduces DeepSeek's own DeepInfer engine within 6% on decode throughput, hitting roughly $39/GPU/hour at the official API prices.

A single adaptive drafter adjusts speculative decoding to batch size and hardware, posting up to 2.99x throughput on vLLM and 3x single-request speedups.

OpenAI added a 12-hour time-to-live option to API prompt caching, letting persistent agents keep shared instructions, tools, and context cached across the full workday.

Google and Meta ship a native PyTorch backend for TPUs with true eager execution, torch.compile, vLLM and SGLang support, and near-linear scaling to full pods.

Databricks unveils MemCurrent, a persistent memory system that triples agent pass rates while cutting tokens 31% and latency 26% in production.

Rough concept first, then the words. 10x to 31x faster than strong diffusion models, on 4x to 5x fewer training tokens

DeepSeek open-sourced DeepInfer and deepseek-recipe, the production stack powering DeepSeek-V4.1-Flash, bringing their internal serving optimizations and API parity to anyone.

SGLang's new plugin framework lets NVIDIA and AMD ship specialized low-latency kernels, cutting DeepSeek-V4.1-Flash decoder time by up to 1.56x.

A trending open-source SLAM system fuses 3D Gaussian Splatting with semantic segmentation to deliver object-aware dense reconstruction in real time.

A Rust-based filesystem gives each AI agent a disposable, zero-copy fork of a shared base, enabling cheap branching, rollback, and parallel rollouts.

A unified CuTe DSL decode path on GB300 pushes Kimi K3 to 842 tokens/s at batch 1, up to 2x faster than stock vLLM.

A training-free token compression method keeps Video LLMs accurate even when 99% of visual tokens are thrown away, with a 12.5x prefill speedup.

A flow-map drafter conditions on hidden states to generate entire token blocks in one shot, hitting 6.1x lossless speedups on Qwen3-8B.

Replit now lets enterprises run its agent platform and published apps inside their own AWS, Azure, or Google Cloud tenants with full data isolation.

Perplexity open-sourced SPACE, a Rust-based platform that runs untrusted agent code inside Firecracker microVMs with an E2B-compatible HTTP API.

Anthropic's STEM Fellows gave Claude Mythos 5 plain-language briefs for eight quantum circuits, and it beat the best published designs, sometimes by over 10x.

Factory makes Delegations generally available, letting teams hand coding tasks to its Droid agent directly from Slack, Linear, Jira, and Microsoft Teams.

Fish Audio's new 35B mixture-of-experts TTS model takes bracketed stage directions, tops open-weight leaderboards, and ships free under a revenue cap.

Cognition's new SRE agent plugs into Datadog, Sentry and Dynatrace to triage alerts, run investigations and open pull requests for fixes.

vLLM-Omni now serves Fish Audio's 35B directable TTS model with 128 concurrent streams on one H200 and 255 ms median time to first audio.

A training-free sparse attention method uses a handful of representative attention heads as proxies, delivering 10.3x attention speedup on long contexts.

Nvidia's Qwen3 14B to 32B mapper is 25.1x vs re-prefill at 32,768 tokens. Cache-to-Cache reports about 2.5x against text
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