AI News, Research and Tool Reviews
-

Fujitsu’s Monaka chip and the FugakuNEXT zetta-scale targets
Fujitsu is developing the 288-core Monaka CPU using 2nm technology to drive the FugakuNEXT supercomputer. This $740 million project targets zetta-scale AI performance by 2030 through a strategic…
-

The 2019 GPT-2 precedent and the shift toward AI safety norms
OpenAI’s 2019 decision to withhold GPT-2 due to fake news concerns established the industry precedent for cautious release strategies. Recent security incidents…
-

Cognition’s Devin valuation and coding performance analysis
Cognition reached a $26B valuation in May 2026 as Devin demonstrated significant efficiency, delivering up to 40x time savings in pilots at…
-

d-Matrix moves Corsair into production to meet AI inference demand
d-Matrix has launched its Corsair inference accelerator platform to support massive AI workloads, delivering 30,000 tokens per second for Llama 70B models.…
-

Deploying Llama 3.2 90B Vision on Groq LPU for Real-Time Performance
Groq’s LPU architecture delivers 750 to 800 tokens per second for Llama 3 70B, significantly outperforming NVIDIA H100 clusters by eliminating memory-bandwidth…
-

Stability AI pivots toward enterprise and Hollywood through new leadership
Stability AI reached a $1 billion valuation under new CEO Prem Akkaraju, focusing on enterprise models and Hollywood partnerships. The company utilizes…
-

SN40L performance and trillion-parameter expert scaling
SambaNova’s SN40L RDU node achieves a 3.7x speedup over DGX H100 when running 150 7B experts totaling over 1 trillion parameters. The…
-

Anthropic’s $965B valuation and revenue surge
Anthropic reached a $965 billion valuation in May 2026 as its annualized revenue climbed to $65 billion by July 2026. The company…
-

Positron AI reaches $5 billion valuation with Asimov chip
Positron AI secured $875 million in Series C funding to advance its Asimov inference chip, which targets five times more tokens per…
Trending Now
- Fujitsu’s Monaka chip and the FugakuNEXT zetta-scale targets
- Developers lose MLX performance on M4 Ultra Mac Studio
- Implementing Codestral 25.01 for Legacy Codebase Migration
- Meta’s MTIA v2 outperforms GPUs for Instagram recommendation models
- The 2019 GPT-2 precedent and the shift toward AI safety norms



