phase 11: GPU-resident KV cache

- GpuKVCache: pre-allocated GPU buffers, D2D copy append at offset
- Per-head strided layout [num_kv_heads, max_seq_len, head_dim]
- Fixed critical bug: seq_len must advance AFTER all layers write
  (not inside the loop per-layer)
- GpuBuffer::copy_from_device_at for offset-based D2D copy
- Tensor::from_storage constructor for wrapping raw GPU buffers
- Exported Storage and Dims from xserv-tensor

Correctness: GPU KV cache vs CPU KV cache = 50/50 bit-identical
Performance: ~neutral (KV cache was never the main bottleneck —
reshape/merge/transpose CPU round-trips dominate for Qwen3-8B)

TTFT: 122ms, TBT: 142ms, 7.0 tok/s (marginal change from 7.3)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

crates/xserv-tensor/src/lib.rs

@@ -4,5 +4,6 @@ pub mod storage;
 pub mod tensor;
 
 pub use dtype::{DType, TensorDType};
-pub use storage::Device;
+pub use shape::Dims;
+pub use storage::{Device, Storage};
 pub use tensor::Tensor;

crates/xserv-tensor/src/tensor.rs

@@ -18,6 +18,11 @@ pub struct Tensor {
 impl Tensor {
     // --- Creation ---
 
+    /// Create a tensor from raw components (for advanced use like GPU KV cache).
+    pub fn from_storage(storage: Storage, shape: Dims, strides: Dims, offset: usize, dtype: DType) -> Self {
+        Self { storage, shape, strides, offset, dtype }
+    }
+
     pub fn from_slice<T: TensorDType>(data: &[T], shape: &[usize]) -> Self {
         let numel: usize = shape.iter().product();
         assert_eq!(data.len(), numel, "data length mismatch with shape");