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  • Techmeme: AWS says Anthropics Claude Opus 4 launched on its Trainium2 . . .
    AWS says Anthropic's Claude Opus 4 launched on its Trainium2 GPUs, and Project Rainier, AWS' supercomputer built for Anthropic, uses 500K+ Trainium2 chips — Amazon Web Services is set to announce an update to its Graviton4 chip that includes 600 gigabits per second of network bandwidth …
  • Amazon’s AI Self Sufficiency | Trainium2 Architecture Networking
    AWS Trainium2 Specifications Overview This all stands to change with Trainium2, as AWS is now firmly targeting complex GenAI LLM inferencing and training workloads with a ~500W chip that has 667 TFLOP s per chip of a dense BF16 performance with 96GByte of HBM3e memory capacity
  • AI Accelerator - AWS Trainium Customers - AWS
    We're announcing two major advances with AWS: First, a new "latency-optimized mode" for Claude 3 5 Haiku which runs 60% faster on Trainium2 via Amazon Bedrock And second, Project Rainier—a new cluster with hundreds of thousands of Trainium2 chips delivering hundreds of exaflops, which is over five times the size of our previous cluster
  • Claude 3. 5 Haiku on AWS Trainium2 and model distillation in Amazon . . .
    For developers seeking the optimal balance of price, performance, and speed, you now have expanded model options with Claude: Claude 3 5 Haiku with latency optimization, powered by Trainium2, for general use cases; Claude 3 Haiku, distilled with frontier performance, for high-volume, repetitive use cases
  • AWS says Anthropics Claude Opus 4 launched on its Trainium2 GPUs, and . . .
    Kristina Partsinevelos CNBC: AWS says Anthropic's Claude Opus 4 launched on its Trainium2 GPUs, and Project Rainier, AWS' supercomputer built for Anthropic, uses 500K+ Trainium2 chips — Amazon Web Services is set to announce an update to its Graviton4 chip that includes 600 gigabits per second of network bandwidth …
  • AWS takes aim at Nvidia with Graviton4 and Trainium chips - MSN
    According to AWS, Anthropic’s Claude Opus 4 AI model launched on Trainium2 GPUs, and Project Rainier is powered by over 500K chips—an order that would have generally gone to Nvidia
  • AWS Unveils Next Generation AWS-Designed Graviton4 and Trainium2 Chips . . .
    Trainium2 is designed to deliver up to 4x faster training performance and 3x more memory capacity compared to first generation Trainium chips, while improving energy efficiency (performance watt) up to 2x Trainium2 will be available in Amazon EC2 Trn2 instances, containing 16 Trainium chips in a single instance
  • Anthropic to Train Next Generation Project Rainier LLM Using AWS . . .
    Anthropic’s chief compute officer, Tom Brown, told conference attendees Project Rainier will require access to hundreds of thousands of processors to build the next generation of the Claude series of LLMs
  • AWS Launches Trainium2 Chip, Reduces AI Computing Costs by 40%
    AWS has partnered with Anthropic to launch a large-scale AI computing cluster called Project Rainier, utilizing hundreds of thousands of Trainium2 chips This infrastructure will support Anthropic's development, including optimizations for its flagship product, Claude, to run on Trainium2 hardware
  • AWS scales up Trainium2 with UltraServer, touts Apple, Anthropic as . . .
    AWS launched new instances based on its Trainium2 processor, which offers 4 times the performance of Trainium1 with twice as more energy efficiency AWS also prepped for larger training workloads with Trainium2 UltraServers that will be pooled into a cluster





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