🚀 Storj Acquires PetaGene To Enhance Distributed Cloud Services
#Storj #PetaGene #cunoFS #CloudServices #DistributedStorage #GPUComputing #VideoWorkloads #AIWorkloads #EdgeComputing #DataIntensive #CloudPlatforms #ObjectStorage #Performance #Security #CostEfficiency #CarbonSavings #STORJ
According to BlockBeats, on October 8, Storj announced the acquisition of PetaGene, the creator of cunoFS, to bolster the growth momentum driven by its recent acquisition of distributed GPU provider Valdi. Storj now offers distributed cloud object storage, on-demand GPU computing, and distributed file storage installations. These capabilities collectively provide seamless access to distributed cloud services for video and AI workloads, enhancing performance, security, cost efficiency, and carbon savings for more edge and global customers.
PetaGene developed cunoFS, a high-performance mounting client poised to revolutionize cloud workflows for data-intensive media and entertainment industries, as well as users of all cloud platforms and object storage providers. In addition to the Linux client, cunoFS introduced a native Windows client at IBC 2024, with a macOS native client expected to launch later this year.#Storj #PetaGene #cunoFS #CloudServices #DistributedStorage #GPUComputing #VideoWorkloads #AIWorkloads #EdgeComputing #DataIntensive #CloudPlatforms #ObjectStorage #Performance #Security #CostEfficiency #CarbonSavings #STORJ
🚀 OpenAI Launches AI Model Powered by Cerebras Chips
#OpenAI #Cerebras #AI #ArtificialIntelligence #ChipTechnology #Semiconductor #AIModel #ComputationalEfficiency #TechInnovation #HardwareSolutions #AIWorkloads #AIAdvancements
OpenAI has announced the release of its inaugural AI model utilizing chips from Cerebras, a semiconductor startup. Bloomberg posted on X, highlighting the significance of this collaboration in advancing AI technology. The new model is expected to enhance computational efficiency and performance, leveraging Cerebras' innovative chip design.
This development marks a strategic move for OpenAI, as it seeks to optimize its AI capabilities through cutting-edge hardware solutions. Cerebras' chips are known for their ability to handle complex AI workloads, potentially offering OpenAI a competitive edge in the rapidly evolving AI landscape.
The partnership between OpenAI and Cerebras underscores the growing importance of specialized hardware in the field of artificial intelligence. As AI models become increasingly sophisticated, the demand for powerful and efficient processing solutions continues to rise. This collaboration is poised to contribute significantly to the advancement of AI technologies, paving the way for more robust and scalable AI applications in the future.#OpenAI #Cerebras #AI #ArtificialIntelligence #ChipTechnology #Semiconductor #AIModel #ComputationalEfficiency #TechInnovation #HardwareSolutions #AIWorkloads #AIAdvancements
🚀 AI Startup Callosum Secures $10.25 Million in Funding
#AI #Startup #Callosum #Funding #10Million #Software #AIWorkloads #Chips #NVIDIA #Plural #VentureCapital #AngelInvestors #CharlieSonghurst #StanBoland #JohnLazar
AI startup Callosum has successfully raised $10.25 million in a recent funding round. According to BlockBeats, the company is developing software designed to coordinate AI workloads across various types of chips, aiming to reduce the industry's reliance on running increasingly large models on numerous identical NVIDIA GPUs.
The funding round was led by Plural, a European early-stage venture capital fund. Angel investors such as Charlie Songhurst, Stan Boland of FiveAI, and John Lazar from the Royal Academy of Engineering also participated in the investment.#AI #Startup #Callosum #Funding #10Million #Software #AIWorkloads #Chips #NVIDIA #Plural #VentureCapital #AngelInvestors #CharlieSonghurst #StanBoland #JohnLazar
🚀 Meta to Develop Four New AI Chip Generations by 2027
#Meta #AIchips #artificialintelligence #techdevelopment #customsilicon #AIworkloads #technology #innovation
Meta is set to introduce four new generations of its proprietary artificial intelligence chips by the end of 2027. Bloomberg posted on X, highlighting the company's strategic shift towards custom silicon to support its growing AI demands. This move underscores Meta's commitment to enhancing its AI capabilities, as the company seeks to optimize performance and efficiency in handling extensive AI workloads. The development of these chips is part of Meta's broader strategy to maintain a competitive edge in the rapidly evolving tech landscape.#Meta #AIchips #artificialintelligence #techdevelopment #customsilicon #AIworkloads #technology #innovation