SubQ Launches: 12M-Token Context on Sub-Quadratic AI
Subquadratic exits stealth with SubQ, the first frontier model built on a sparse-attention architecture, a $29M seed round, and a 12M-token context window that costs a fraction of Opus.
Articles Tagged "Inference"
Nebius Buys Eigen AI for $643M to Own Inference
Nebius agrees to acquire 20-person MIT inference startup Eigen AI for $643M, betting that optimizing every token per Nvidia chip is the real moat in the AI infrastructure race.
Cerebras WSE-3 - The Wafer-Scale AI Engine
The Cerebras WSE-3 is the largest chip ever built - a TSMC 5nm wafer with 900,000 AI cores, 44GB SRAM, and 21 PB/s bandwidth. Now powering a $20B OpenAI deal and Amazon Bedrock deployments.
Google TPU 8i - Low-Latency Inference for Agent Era
Google's TPU 8i is a purpose-built inference chip with 10.1 FP4 PFLOPs, 288GB HBM3e at 8,601 GB/s, and a Boardfly topology that cuts collective latency 5x for agentic AI workloads.
Qualcomm AI250 - Near-Memory Computing for Inference
The Qualcomm AI250 applies near-memory computing to the same 768GB LPDDR5X design as the AI200, promising 10x higher effective memory bandwidth and lower power for LLM inference at rack scale.
Rebellions RebelRack - 64 FP8 PFLOPs at 5 Kilowatts
The Rebellions RebelRack packs 32 Rebel100 chiplet NPUs with 4.5TB HBM3E and 153.6 TB/s aggregate bandwidth into a rack drawing just 5kW - roughly 4x the compute-per-watt of an H100 DGX.
Nemotron 3 Nano Omni Unifies Vision, Audio, Language
NVIDIA's new open omni model activates 3B of 30B parameters, processes video, audio, and documents in one pass, and delivers up to 9.2x higher throughput than other open omni models.
Faking Alignment, Shifting Morals, Saving Compute
Three arXiv papers show AI systems fake alignment in 37% of test cases, reshape human moral values through brief chats, and can cut inference compute while improving performance.
Google's Four-Chip Plan to Own AI Inference at Scale
Google splits its next TPU generation across Broadcom, MediaTek, Marvell, and Intel to win inference economics, revealed ahead of Cloud Next 2026.
AI Labs Are Losing Billions - Here's Who Really Pays
OpenAI burned $2.5B in cash on $4.3B of revenue in the first half of 2025. Anthropic cut its gross margin forecast from 50% to 40%. Here's the compute subsidy math behind every AI subscription, and who's actually paying for it.
Best AI Home Workstations 2026 - Full Buying Guide
Complete buying guide for AI home workstations in 2026 - pre-built machines and DIY builds for running local LLMs from 3B to 70B+ models, with benchmarks, part lists, and price-tier comparisons.
LLM Quantization Impact Leaderboard 2026: INT4 vs FP16
How much quality do LLMs lose when quantized from BF16 to INT8, Q6, Q5, Q4, Q3, Q2? Per-model delta tables across MMLU, HumanEval, and perplexity, with VRAM and throughput data for every major quantization format.
