Google is in talks with Marvell to build custom AI inference chips as it diversifies beyond Broadcom
Summary: Google is in talks with Marvell Technology to develop two new AI chips – a memory processing unit and an inference-optimised TPU – adding a third design partner alongside Broadcom and MediaTek in its custom silicon supply chain. The discussions, which have not yet produced a signed contract, came days after Broadcom locked in […]<br /> This story continues at The Next Web [...]
Rating
Innovation
Pricing
Technology
Usability
We have discovered similar tools to what you are looking for. Check out our suggestions for similar AI tools.
Google debuts AI chips with 4X performance boost, secures Anthropic megadeal worth billions
Google Cloud is introducing what it calls its most powerful artificial intelligence infrastructure to date, unveiling a seventh-generation Tensor Processing Unit and expanded Arm-based computing optio [...]
Baseten takes on hyperscalers with new AI training platform that lets you own your model weights
Baseten, the AI infrastructure company recently valued at $2.15 billion, is making its most significant product pivot yet: a full-scale push into model training that could reshape how enterprises wean [...]
Together AI's ATLAS adaptive speculator delivers 400% inference speedup by learning from workloads in real-time
Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can't keep up with shifting workloads.Speculators are smaller AI models that w [...]
AI inference costs dropped up to 10x on Nvidia's Blackwell — but hardware is only half the equation
Lowering the cost of inference is typically a combination of hardware and software. A new analysis released Thursday by Nvidia details how four leading inference providers are reporting 4x to 10x redu [...]
Nvidia’s $2 billion Marvell bet is not an investment. It is a toll booth.
Nvidia has invested $2 billion in Marvell Technology and folded the chipmaker into its NVLink Fusion ecosystem, creating a partnership that covers custom AI accelerators, silicon photonics, and 5G/6G [...]
The team behind continuous batching says your idle GPUs should be running inference, not sitting dark
Every GPU cluster has dead time. Training jobs finish, workloads shift and hardware sits dark while power and cooling costs keep running. For neocloud operators, those empty cycles are lost margin.The [...]
OpenAI deploys Cerebras chips for 15x faster code generation in first major move beyond Nvidia
OpenAI on Thursday launched GPT-5.3-Codex-Spark, a stripped-down coding model engineered for near-instantaneous response times, marking the company's first significant inference partnership outsi [...]