The next generation of inference platforms must evolve to address all three layers. The goal is not only to serve models ...
VANCOUVER, British Columbia, Aug. 12, 2025 (GLOBE NEWSWIRE) -- VERSES AI Inc. (CBOE: VERS) (OTCQB: VRSSF) ("VERSES" or the "Company"), a cognitive computing company pioneering next-generation agentic ...
After raising $750 million in new funding, Groq Inc. is carving out a space for itself in the artificial intelligence inference ecosystem. Groq started out developing AI inference chips and has ...
VANCOUVER, British Columbia, Aug. 25, 2025 (GLOBE NEWSWIRE) -- VERSES AI Inc. (CBOE: VERS) (OTCQB: VRSSF) (“VERSES” or the “Company”), a cognitive computing company specializing in next-generation ...
The MarketWatch News Department was not involved in the creation of this content. DELRAY BEACH, Fla., Oct. 3, 2025 /PRNewswire/ -- The global AI inference PaaS market is anticipated to be valued at ...
・Verses AI’s new robotics model performs complex household tasks like tidying, grocery prep, and table setting without any pre-training, unlike deep learning models that require billions of training ...
Robotics is forcing a fundamental rethink of AI compute, data, and systems design Partner Content Physical AI and robotics ...
You train the model once, but you run it every day. Making sure your model has business context and guardrails to guarantee reliability is more valuable than fussing over LLMs. We’re years into the ...
RENO, Nev.--(BUSINESS WIRE)--Positron AI, the premier company for American-made semiconductors and inference hardware, today announced the close of a $51.6 million oversubscribed Series A funding ...
Kubernetes has become the leading platform for deploying cloud-native applications and microservices, backed by an extensive community and comprehensive feature set for managing distributed systems.
CAMBRIDGE, Mass., Oct. 28, 2025 /PRNewswire/ -- Akamai Technologies, Inc. (NASDAQ:AKAM) today launched Akamai Inference Cloud, a platform that redefines where and how AI is used by expanding inference ...
As frontier models move into production, they're running up against major barriers like power caps, inference latency, and rising token-level costs, exposing the limits of traditional scale-first ...