# L40S (48GB GDDR6, Ada Lovelace sm_89) — datacenter GPU, lower bandwidth than H100
# 864 GB/s memory bandwidth vs H100's 3.35 TB/s (4x lower)
# 18,176 CUDA cores, 568 tensor cores (4th gen), FP8 support
[training]
batch_size = 4096          # between H100's 8192 and A100's 2048 — 48GB VRAM allows this
num_atoms = 52
buffer_size = 300000       # scaled for 48GB VRAM (H100=500K at 80GB)
hidden_dim_base = 256
replay_buffer_vram_fraction = 0.0  # exact sizing, consistent with H100

[experience]
gpu_timesteps_per_episode = 2000   # between H100's 5000 and A100's 500 — bandwidth-limited
gpu_n_episodes = 2048              # 18176 CUDA cores scaled down from H100's 4096

[cuda]
cuda_stack_bytes = 65536   # 64KB (same as H100/A100)