🤖 AI Summary
            VectorWare, founded by maintainers of rust-gpu and rust-cuda and Rust compiler contributors, launched with a clear thesis: we’re entering a GPU-native era where GPUs, not CPUs, should be the primary platform for a growing class of applications (LLMs, generative AI, CV, simulation, graphics and more). They argue most current stacks treat GPUs as accelerators—CPU-first orchestration with simplistic GPU kernels (e.g., PyTorch’s model)—and want to invert that model by putting the GPU in control. To do this they’re building a low‑level software stack, developer tools, and platform primitives that make truly GPU-native software practical and safe.
Technically, VectorWare focuses on compiler and language work (Rust-based codegen, wasm/Cranelift/LLVM/MLIR/Triton expertise), GPU-facing runtimes and APIs (Vulkan, CUDA, ROCm, CANN), userland graphics stacks (Mesa, DRM, Wayland, MoltenVK), and kernel-level changes to support GPU-first datacenter workloads. The team is experienced in Rust, graphics, compilers and systems, and closed an oversubscribed seed with experienced operators backing them. For the AI/ML community this promises deeper GPU utilization, richer GPU kernels, new ergonomics and safety from higher-level abstractions, and easier migration of CPU-bound services to massively parallel hardware — potentially reshaping performance and deployment patterns for models and inference pipelines.
        
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