10/10
The top model providers
rely on CoreWeave
Infrastucture > CPU Compute
Get more out of your AI infrastructure
Performance
10/10
The top model providers
rely on CoreWeave
100+
Visualize experiments
at any scale
10/10
Fewer interruptions
per day
Compare any model - with 5 lines of code
import wandb # 1. Start a W&B run run = wandb.init(project="my_first_project") # 2. Save model inputs and hyperparameters config = wandb.config config.learning_rate = 0.01 # 3. Log metrics to visualize performance over time for i in range(10): run.log({"loss": 2**-i})
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How it works
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Learn More
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How it works
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Learn More
Compare any model - with 5 lines of code
import wandb # 1. Start a W&B run run = wandb.init(project="my_first_project") # 2. Save model inputs and hyperparameters config = wandb.config config.learning_rate = 0.01 # 3. Log metrics to visualize performance over time for i in range(10): run.log({"loss": 2**-i})
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How it works
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Learn More
Configurations
Use performant CPUs to support GPU-accelerated workloads
Excellent performance
Available in high-performance, high-core, and general-purpose configuration
Up to 86% better
Gen-to-gen performance compared to general-purpose servers with AMD EPYC 9004 Series CPUs
1.5TB Momory
Supporting up to 1.5TB of memory per system
Equipped with NVIDIA
Bluefield DPUs
Excellent performance
Up to 28% better performance than CoreWeave Intel Xeon 3rd Generation servers
Platinum processors
Platinum processors for the best performance
512GB of memory per system
Equipped with NVIDIA
Bluefield DPUs
Ecosystem
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Build
Deploy
Case studies
“Not being on that infrastructure would’ve delayed us by at least a few months.”
Timothée Lacroix CTO, Mistral AI
Learn how Mistral AI trains LLMs on reliable and resilient infrastructure that scales at the speed of AI while ensuring experiments are trackable and governed from experimentation through production.
Read Case studyContact Us
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