Inference

Microsoft Azure Maia 300 prototype chip on a blue-lit platform

Microsoft unveils Maia 300 to cut its reliance on Nvidia for AI inference

A custom AI inference accelerator routes model traffic through low-latency serving racks

OpenAI posts first Jalapeno inference-chip benchmarks

OpenAI says its Jalapeno inference chip delivered better performance per watt and lower latency across public model workloads, with deployment planned by year end.

The AI Feed Desk

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A retrieval pipeline flowing from documents through vector search into a measured answer service

MLCommons introduces an end-to-end RAG inference benchmark

MLCommons introduced an end-to-end RAG inference benchmark that measures document ingestion, vector search, and multi-hop answer generation together.

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A custom accelerator module under an energy gauge with separate latency and throughput light paths

OpenAI publishes first Jalapeno inference chip results

OpenAI says Jalapeno, its first custom inference chip, delivered higher work per watt and lower latency in public-model tests and is planned for deployment by year-end.

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A server aisle with token streams splitting between fast decode lanes and long-context memory lanes

NVIDIA extends Vera Rubin with Groq 3 LPX for agentic inference

NVIDIA says Groq 3 LPX is in full production as a Vera Rubin decode accelerator, shifting agent infrastructure toward rack-scale token generation economics.

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A model hub router sends open model blocks through provider switches into application endpoints

Hugging Face adds Baseten as an Inference Provider

Hugging Face added Baseten as an Inference Provider, giving developers routed serverless access to open-weight text and chat models from Hub model pages and SDKs.

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Hot MoE experts move between SRAM, HBM, and shared DRAM tiers on a chiplet package

HCRMap targets hot-expert bottlenecks in MoE inference

A July 13 paper proposes HCRMap, a pressure-aware residency system for hot MoE experts across 3.5D chiplet memory tiers.

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An abstract model graph passes through a glass optimization lens into high-speed inference lanes

Hugging Face and vLLM bring native-speed serving to Transformers model definitions

Hugging Face and vLLM introduced a backend that can run compatible Transformers model definitions at native vLLM speed through runtime graph analysis and rewrites.

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A metallic chip tile connects to flowing local model tokens and a small speed gauge

BaseRT makes Apple Silicon LLM speed a runtime-design question

BaseRT's paper and release argue that native Metal kernels, unified-memory-aware layout, and custom dispatch can raise local LLM throughput on Apple Silicon.

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A large AI factory rack sends green revenue tokens toward a smaller cloud node

NVIDIA turns AI cloud capacity into a revenue-sharing model

NVIDIA's new AI cloud model pairs revenue sharing with credit support, giving emerging cloud providers a way to finance AI factories while tying NVIDIA to downstream token demand.

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By The AI Feed Desk

A microphone waveform passes through a fast inference core and exits as a speaker waveform

Hugging Face and Cerebras make open voice AI a latency problem

A Hugging Face and Cerebras speech-to-speech demo uses Parakeet, Gemma 4, Cerebras inference, and Qwen3TTS to show where voice AI latency actually lives.

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By The AI Feed Desk

A command-line prompt launches an inference endpoint on a small GPU cluster

Hugging Face makes vLLM serving a one-command Jobs workflow

HF Jobs can now spin up a private OpenAI-compatible vLLM endpoint for tests, evals, and batch generation without provisioning servers or managing Kubernetes.

The AI Feed Desk

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A shared software bridge routes AI workloads across CPU, GPU, NPU, and custom ASIC chips

Qualcomm agrees to acquire Modular for AI software portability

Qualcomm's Modular deal puts compiler and runtime portability at the center of its edge-to-cloud AI infrastructure push.

The AI Feed Desk

By The AI Feed Desk

A custom AI inference chip sits between model layers and data-center racks

OpenAI and Broadcom unveil Jalapeno inference chip

OpenAI's first Intelligence Processor moves its compute strategy deeper into custom inference hardware, with Broadcom and Celestica helping turn the chip into a deployable platform.

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NVIDIA Blackwell data center hardware used in the AgentPerf benchmark announcement

NVIDIA says Blackwell leads the first AgentPerf benchmark

NVIDIA says GB300 NVL72 runs up to 20x more agents per megawatt than H200 on AgentPerf, a new benchmark for agentic inference.

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Editorial illustration of a local text model generating many tokens in parallel on a GPU

Google releases DiffusionGemma for faster local text generation

Google's DiffusionGemma is an experimental open text-diffusion model that generates blocks of text in parallel for lower-latency local workflows.

The AI Feed Desk

By The AI Feed Desk

Editorial illustration of private cloud inference secured across device, cloud, and GPU layers

NVIDIA says Apple Private Cloud Compute will use Blackwell GPUs on Google Cloud

NVIDIA says Apple Private Cloud Compute is expanding to Google Cloud with Blackwell GPUs and Confidential Computing for server-side Apple Intelligence inference.

The AI Feed Desk

By The AI Feed Desk