lemonade shipped an update
Lemonade, an open-source local AI server written in C++, shipped an update in August 2026, according to its GitHub repository, which has 5.3k stars. The project, optimized by AMD engineers for Ryzen A…
Lemonade, an open-source local AI server written in C++, shipped an update in August 2026, according to its GitHub repository, which has 5.3k stars. The project, optimized by AMD engineers for Ryzen A…
AMD acquired Toronto-based Taalas on August 6, a chip startup that hardwires AI model weights into silicon using Mask ROM, eliminating the memory bottleneck. Taalas's HC1 chip, built on TSMC's 6nm pro…
Cache read costs now dominate agentic AI workloads, accounting for up to 81.6% of total inference spend in a 100-turn session, according to an analysis by an unnamed author. The analysis shows that fo…
Riot Platforms disclosed a 20-year lease for 191 megawatts of critical IT capacity at its Rockdale, Texas, campus, expecting about $9.1 billion in contract revenue through June 2048, with delivery pha…
Core Scientific shareholders rejected CoreWeave's $9 billion all-stock acquisition in October 2025, and on July 28, 2026, Core Scientific announced a partnership with AMD to deliver over 500 megawatts…
AMD has agreed to acquire Toronto-based Taalas, a startup founded in 2023 that develops AI inference silicon tailored to specific models, to expand its inference capabilities for real-time and high-vo…
Tom's Hardware's July 30 benchmark of 128GB unified-memory machines found Apple's Mac Studio M4 Max decodes dense models 2.26x faster than AMD's Strix Halo mini-PC, but the gap shrinks to 1.25x on spa…
The AI bubble will not burst because AI fails but because deployable supply and capital commitments grow faster than monetizable demand, according to Breaking Analysis. Global semiconductor revenue is…
AMD announced a definitive agreement on August 6, 2026, to acquire Toronto-based AI-chip startup Taalas, adding model-specific inference silicon to its AI roadmap; financial terms were not disclosed. …
Red Hat published a post arguing that 'the CPU is back' for LLM inference, citing an Intel and Georgia Tech paper that found CPU-side tool processing accounts for 50–90% of total latency in agentic wo…
AMD's stock has declined despite a surge in AI revenue, as the company reported record data center sales driven by its MI300X accelerators. The company's AI segment grew 80% year-over-year to $2.3 bil…
GMKtec's EVO-X3, a tower PC with AMD's Ryzen AI Max+ 395, 128GB unified memory, and an OcuLink port, was reviewed by Wendell of Level1Techs, who called it 'one of the fastest Strix Halo machines' he h…
OpenAI paused development of its Astra model after internal evaluations found it can independently identify and execute attacks on well-protected real-world systems, crossing a 'critical cybersecurity…
AMD agreed to acquire Taalas, a 25-person Toronto-based chip startup that builds model-specific silicon, for an undisclosed amount. Taalas's first chip, the HC1, runs only Llama 3.1 8B, with weights h…
AMD announced on August 6, 2026, a definitive agreement to acquire Taalas, a Toronto-based startup that embeds AI models directly into silicon, to integrate its technology into AMD's accelerator roadm…
AMD acquired AI inference startup Taalas for an undisclosed sum this week, aiming to bake AI inference directly into its chips. The move follows Nvidia CEO Jensen Huang's GTC 2026 disclosure that GPU …
AMD's RDNA 4m integrated graphics have been merged into the Mesa 26.3 open-source driver stack under the GFX1171 GPU target, marking its official support in the open-source ecosystem. The RDNA 4m, whi…
AMD acquired Taalas to etch model weights directly into silicon, achieving 17,000 tokens/sec inference speed—48x faster than Nvidia GPUs—and reducing hardware needs for trillion-parameter models to ju…
AMD has agreed to acquire Canadian custom silicon startup Taalas for an undisclosed amount, integrating its technology into its AI accelerator roadmap and Instinct GPUs to target the growing inference…
AMD has agreed to acquire Taalas, a Canadian designer of chips that embed a trained AI model's weights into custom silicon, aiming to reduce the cost and time of enterprise AI inference. Analysts caut…