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AI Developer Survey
Background
What is your company name?
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What is your company's website (if available)?
What is your company product (in a nutshell)?
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Hardware/Compute
What hardware do you currently use for ML workloads?
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What hardware do you currently use for ML workloads?
NVIDIA GPU [DGX/PCIe]
NVIDIA CPU+GPU [NVL37/NVL72]
AMD GPU [MI300/MI350 etc.]
Google TPU
AWS [Tranium/Inferentia]
Groq
Cerebras
Tenstorrent
SambaNova
Other
What cloud services do you use for your ML workloads?
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What cloud services do you use for your ML workloads?
Amazon Web Services
Microsoft Azure
Google Cloud
CoreWeave
Lambda Labs
Other
Hardware/Service Improvements
Describe hardware and/or service improvements what would motivate significant code migration?
Software
For your ML development, what software levels does your team primarily work in?
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For your ML development, what software levels does your team primarily work in?
Token APIs (use OpenAI or other model tokens via APIs)
ML Frameworks (PyTorch / TensorFlow)
Runtimes (TensorRT/Triton Inference Server)
Performance Libraries (cuBLAS / cuDNN / ROCm)
Low-level Toolchains/Technologies (CUDA / NCCL / HIP)
Custom Kernels
Other
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