Rohan Paul@rohanpaul_aiAWS activates Project Rainier: One of the world’s largest AI compute clusters comes online.
~500,000 Trainium2 chips, and Anthropic is scaling Claude to >1,000,000 chips by Dec-25, a huge jump in training and inference capacity.
AWS connected multiple US data centers into one UltraCluster so Anthropic can train larger Claude models and handle longer context and heavier workloads without slowing down.
Each Trn2 UltraServer links 64 Trainium2 chips through NeuronLink inside the node, and EFA networking connects those nodes across buildings, cutting latency and keeping the cluster flexible for massive scaling.
Trainium2 is optimized for matrix and tensor math with HBM3 memory, giving it extremely high bandwidth so huge batches and long sequences can be processed without waiting for data transfer.
The UltraServers act as powerful single compute units inside racks, while the UltraCluster spreads training across tens of thousands of these servers, using parallel processing to handle giant models efficiently.
AWS says Project Rainier is its largest training platform ever, delivering >5x compute than what Anthropic used before, allowing faster model training and easier large-scale experiments.
For energy use, AWS reports a 0.15 L/kWh water usage efficiency, matching 100% renewable power and adding nuclear and battery investments to keep growing while staying within its 2040 net-zero goal.
aboutamazon. com/news/aws/aws-project-rainier-ai-trainium-chips-compute-clusterQuoteAndy Jassy@ajassy·Oct 29About a year ago, this site near South Bend, Indiana was just cornfields. Today, it’s 1 of our U.S. data centers powering Project Rainier – one of the world’s largest AI compute clusters, built in collaboration with@AnthropicAI.
It is 70% larger than any AI computing platformShow more4:08 AM · Nov 1, 2025·403.3KViews573331.5K576Read 57 replies Rohan Paul@rohanpaul_aiAWS activates Project Rainier: One of the world’s largest AI compute clusters comes online.
~500,000 Trainium2 chips, and Anthropic is scaling Claude to >1,000,000 chips by Dec-25, a huge jump in training and inference capacity.
AWS connected multiple US data centers into one UltraCluster so Anthropic can train larger Claude models and handle longer context and heavier workloads without slowing down.
Each Trn2 UltraServer links 64 Trainium2 chips through NeuronLink inside the node, and EFA networking connects those nodes across buildings, cutting latency and keeping the cluster flexible for massive scaling.
Trainium2 is optimized for matrix and tensor math with HBM3 memory, giving it extremely high bandwidth so huge batches and long sequences can be processed without waiting for data transfer.
The UltraServers act as powerful single compute units inside racks, while the UltraCluster spreads training across tens of thousands of these servers, using parallel processing to handle giant models efficiently.
AWS says Project Rainier is its largest training platform ever, delivering >5x compute than what Anthropic used before, allowing faster model training and easier large-scale experiments.
For energy use, AWS reports a 0.15 L/kWh water usage efficiency, matching 100% renewable power and adding nuclear and battery investments to keep growing while staying within its 2040 net-zero goal.
aboutamazon. com/news/aws/aws-project-rainier-ai-trainium-chips-compute-clusterQuoteAndy Jassy@ajassy·Oct 29About a year ago, this site near South Bend, Indiana was just cornfields. Today, it’s 1 of our U.S. data centers powering Project Rainier – one of the world’s largest AI compute clusters, built in collaboration with@AnthropicAI.
It is 70% larger than any AI computing platformShow more4:08 AM · Nov 1, 2025·403.3KViews573331.5K576Read 57 replies Rohan Paul@rohanpaul_ai Rohan Paul@rohanpaul_ai Rohan Paul@rohanpaul_ai Rohan Paul@rohanpaul_ai Rohan Paul@rohanpaul_ai Rohan Paul@rohanpaul_ai Rohan Paul@rohanpaul_ai @rohanpaul_ai @rohanpaul_ai @rohanpaul_ai @rohanpaul_ai @rohanpaul_ai AWS activates Project Rainier: One of the world’s largest AI compute clusters comes online.
~500,000 Trainium2 chips, and Anthropic is scaling Claude to >1,000,000 chips by Dec-25, a huge jump in training and inference capacity.
AWS connected multiple US data centers into one UltraCluster so Anthropic can train larger Claude models and handle longer context and heavier workloads without slowing down.
Each Trn2 UltraServer links 64 Trainium2 chips through NeuronLink inside the node, and EFA networking connects those nodes across buildings, cutting latency and keeping the cluster flexible for massive scaling.
Trainium2 is optimized for matrix and tensor math with HBM3 memory, giving it extremely high bandwidth so huge batches and long sequences can be processed without waiting for data transfer.
The UltraServers act as powerful single compute units inside racks, while the UltraCluster spreads training across tens of thousands of these servers, using parallel processing to handle giant models efficiently.
AWS says Project Rainier is its largest training platform ever, delivering >5x compute than what Anthropic used before, allowing faster model training and easier large-scale experiments.
For energy use, AWS reports a 0.15 L/kWh water usage efficiency, matching 100% renewable power and adding nuclear and battery investments to keep growing while staying within its 2040 net-zero goal.
aboutamazon. com/news/aws/aws-project-rainier-ai-trainium-chips-compute-clusterQuoteAndy Jassy@ajassy·Oct 29About a year ago, this site near South Bend, Indiana was just cornfields. Today, it’s 1 of our U.S. data centers powering Project Rainier – one of the world’s largest AI compute clusters, built in collaboration with@AnthropicAI.
It is 70% larger than any AI computing platformShow more4:08 AM · Nov 1, 2025·403.3KViews573331.5K576Read 57 replies AWS activates Project Rainier: One of the world’s largest AI compute clusters comes online.
~500,000 Trainium2 chips, and Anthropic is scaling Claude to >1,000,000 chips by Dec-25, a huge jump in training and inference capacity.
AWS connected multiple US data centers into one UltraCluster so Anthropic can train larger Claude models and handle longer context and heavier workloads without slowing down.
Each Trn2 UltraServer links 64 Trainium2 chips through NeuronLink inside the node, and EFA networking connects those nodes across buildings, cutting latency and keeping the cluster flexible for massive scaling.
Trainium2 is optimized for matrix and tensor math with HBM3 memory, giving it extremely high bandwidth so huge batches and long sequences can be processed without waiting for data transfer.
The UltraServers act as powerful single compute units inside racks, while the UltraCluster spreads training across tens of thousands of these servers, using parallel processing to handle giant models efficiently.
AWS says Project Rainier is its largest training platform ever, delivering >5x compute than what Anthropic used before, allowing faster model training and easier large-scale experiments.
For energy use, AWS reports a 0.15 L/kWh water usage efficiency, matching 100% renewable power and adding nuclear and battery investments to keep growing while staying within its 2040 net-zero goal.
aboutamazon. com/news/aws/aws-project-rainier-ai-trainium-chips-compute-cluster AWS activates Project Rainier: One of the world’s largest AI compute clusters comes online.
~500,000 Trainium2 chips, and Anthropic is scaling Claude to >1,000,000 chips by Dec-25, a huge jump in training and inference capacity.
AWS connected multiple US data centers into one UltraCluster so Anthropic can train larger Claude models and handle longer context and heavier workloads without slowing down.
Each Trn2 UltraServer links 64 Trainium2 chips through NeuronLink inside the node, and EFA networking connects those nodes across buildings, cutting latency and keeping the cluster flexible for massive scaling.
Trainium2 is optimized for matrix and tensor math with HBM3 memory, giving it extremely high bandwidth so huge batches and long sequences can be processed without waiting for data transfer.
The UltraServers act as powerful single compute units inside racks, while the UltraCluster spreads training across tens of thousands of these servers, using parallel processing to handle giant models efficiently.
AWS says Project Rainier is its largest training platform ever, delivering >5x compute than what Anthropic used before, allowing faster model training and easier large-scale experiments.
For energy use, AWS reports a 0.15 L/kWh water usage efficiency, matching 100% renewable power and adding nuclear and battery investments to keep growing while staying within its 2040 net-zero goal.
aboutamazon. com/news/aws/aws-project-rainier-ai-trainium-chips-compute-cluster AWS activates Project Rainier: One of the world’s largest AI compute clusters comes online.
~500,000 Trainium2 chips, and Anthropic is scaling Claude to >1,000,000 chips by Dec-25, a huge jump in training and inference capacity.
AWS connected multiple US data centers into one UltraCluster so Anthropic can train larger Claude models and handle longer context and heavier workloads without slowing down.
Each Trn2 UltraServer links 64 Trainium2 chips through NeuronLink inside the node, and EFA networking connects those nodes across buildings, cutting latency and keeping the cluster flexible for massive scaling.
Trainium2 is optimized for matrix and tensor math with HBM3 memory, giving it extremely high bandwidth so huge batches and long sequences can be processed without waiting for data transfer.
The UltraServers act as powerful single compute units inside racks, while the UltraCluster spreads training across tens of thousands of these servers, using parallel processing to handle giant models efficiently.
AWS says Project Rainier is its largest training platform ever, delivering >5x compute than what Anthropic used before, allowing faster model training and easier large-scale experiments.
For energy use, AWS reports a 0.15 L/kWh water usage efficiency, matching 100% renewable power and adding nuclear and battery investments to keep growing while staying within its 2040 net-zero goal.
aboutamazon. com/news/aws/aws-project-rainier-ai-trainium-chips-compute-cluster AWS activates Project Rainier: One of the world’s largest AI compute clusters comes online.
~500,000 Trainium2 chips, and Anthropic is scaling Claude to >1,000,000 chips by Dec-25, a huge jump in training and inference capacity.
AWS connected multiple US data centers into one UltraCluster so Anthropic can train larger Claude models and handle longer context and heavier workloads without slowing down.
Each Trn2 UltraServer links 64 Trainium2 chips through NeuronLink inside the node, and EFA networking connects those nodes across buildings, cutting latency and keeping the cluster flexible for massive scaling.
Trainium2 is optimized for matrix and tensor math with HBM3 memory, giving it extremely high bandwidth so huge batches and long sequences can be processed without waiting for data transfer.
The UltraServers act as powerful single compute units inside racks, while the UltraCluster spreads training across tens of thousands of these servers, using parallel processing to handle giant models efficiently.
AWS says Project Rainier is its largest training platform ever, delivering >5x compute than what Anthropic used before, allowing faster model training and easier large-scale experiments.
For energy use, AWS reports a 0.15 L/kWh water usage efficiency, matching 100% renewable power and adding nuclear and battery investments to keep growing while staying within its 2040 net-zero goal.
aboutamazon. com/news/aws/aws-project-rainier-ai-trainium-chips-compute-cluster QuoteAndy Jassy@ajassy·Oct 29About a year ago, this site near South Bend, Indiana was just cornfields. Today, it’s 1 of our U.S. data centers powering Project Rainier – one of the world’s largest AI compute clusters, built in collaboration with@AnthropicAI.
It is 70% larger than any AI computing platformShow more QuoteAndy Jassy@ajassy·Oct 29About a year ago, this site near South Bend, Indiana was just cornfields. Today, it’s 1 of our U.S. data centers powering Project Rainier – one of the world’s largest AI compute clusters, built in collaboration with@AnthropicAI.
It is 70% larger than any AI computing platformShow more QuoteAndy Jassy@ajassy·Oct 29About a year ago, this site near South Bend, Indiana was just cornfields. Today, it’s 1 of our U.S. data centers powering Project Rainier – one of the world’s largest AI compute clusters, built in collaboration with@AnthropicAI.
It is 70% larger than any AI computing platformShow more Andy Jassy@ajassy·Oct 29About a year ago, this site near South Bend, Indiana was just cornfields. Today, it’s 1 of our U.S. data centers powering Project Rainier – one of the world’s largest AI compute clusters, built in collaboration with@AnthropicAI.
It is 70% larger than any AI computing platformShow more Andy Jassy@ajassy·Oct 29About a year ago, this site near South Bend, Indiana was just cornfields. Today, it’s 1 of our U.S. data centers powering Project Rainier – one of the world’s largest AI compute clusters, built in collaboration with@AnthropicAI.
It is 70% larger than any AI computing platformShow more Andy Jassy@ajassy·Oct 29 Andy Jassy@ajassy·Oct 29 Andy Jassy@ajassy·Oct 29 Andy Jassy@ajassy·Oct 29 Andy Jassy@ajassy·Oct 29 Andy Jassy@ajassy·Oct 29 @ajassy·Oct 29 @ajassy·Oct 29 About a year ago, this site near South Bend, Indiana was just cornfields. Today, it’s 1 of our U.S. data centers powering Project Rainier – one of the world’s largest AI compute clusters, built in collaboration with@AnthropicAI.
It is 70% larger than any AI computing platformShow more About a year ago, this site near South Bend, Indiana was just cornfields. Today, it’s 1 of our U.S. data centers powering Project Rainier – one of the world’s largest AI compute clusters, built in collaboration with@AnthropicAI.
It is 70% larger than any AI computing platform About a year ago, this site near South Bend, Indiana was just cornfields. Today, it’s 1 of our U.S. data centers powering Project Rainier – one of the world’s largest AI compute clusters, built in collaboration with @AnthropicAI @AnthropicAI .
It is 70% larger than any AI computing platform 4:08 AM · Nov 1, 2025·403.3KViews 4:08 AM · Nov 1, 2025·403.3KViews 4:08 AM · Nov 1, 2025·403.3KViews 4:08 AM · Nov 1, 2025·403.3KViews 4:08 AM · Nov 1, 2025 403.3KViews 403.3KViews 573331.5K576 573331.5K576 573331.5K576 Read 57 replies Read 57 replies Read 57 replies
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