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South Korean AI chip startup Rebellions has closed a $400M pre-IPO round at a $2.34B valuation, with the government's Korea National Growth Fund leading Seoul's first direct bet under its K-Nvidia initiative.
IBM Research, Red Hat, and Google Cloud donated llm-d to the CNCF at KubeCon EU, giving Kubernetes a production-grade distributed LLM inference framework built on vLLM.
At its Arm Everywhere event in San Francisco, Arm unveiled the AGI CPU - a 136-core data center processor co-developed with Meta and the company's first owned silicon product in its 35-year history.
Alibaba's T-Head division launched the XuanTie C950, a 5nm 3.2GHz RISC-V server chip that sets a new world record for RISC-V single-core performance and natively runs billion-parameter models like DeepSeek V3 and Qwen3.
NVIDIA's new Nemotron-Cascade-2-30B-A3B activates just 3B parameters per token, runs on a single RTX 4090, and outscores NVIDIA's own 120B model on coding and math benchmarks.
NVIDIA's Nemotron 3 Nano 4B packs a Mamba-dominant hybrid architecture, 262K token context, and 95.4% on MATH500 into a model that fits an 8GB Jetson Orin Nano.
Microsoft Azure's Foundry platform now runs Fireworks AI's inference engine, bringing DeepSeek V3.2, Kimi K2.5, and MiniMax M2.5 into enterprise AI under a unified control plane.
NVIDIA opens GTC 2026 with the Vera Rubin platform - six co-designed chips delivering 50 PFLOPS of inference per GPU and 10x lower token cost than Blackwell.
Apple's flagship SoC with 40-core GPU, per-core Neural Accelerators, 614 GB/s bandwidth, and 4x AI performance over M4 Max.
Meta's first mass-deployed RISC-V AI accelerator - 1.2 PFLOPS FP8, 216 GB HBM, powering Facebook and Instagram at scale.
Rankings of the fastest AI models and inference providers by tokens per second, time to first token, and end-to-end latency.
vLLM v0.17.0 adds FlashAttention 4, elastic expert parallelism for live MoE rescaling, full Qwen3.5 support, and a performance-mode flag, all in 699 commits from 272 contributors.
