CanIEmbody
Matrix/Compute/Datacenter

What can I run on L4?

24 GB VRAMAda LovelaceFP8 Tensor Core 485 teraFLOPs* (*shown with sparsity)72WView matrix for this target →

Low-profile 72 W inference card. Available on Hugging Face Jobs (1x and 4x L4).

Policy by policy

PolicyParamsInference memory (sourced, with precision)On L4Best measured
ACT Imitation80M211 MB measured fp32no data
Diffusion Policy Imitation—1.12 GB measured fp32no data
EO-1 VLA3B≥6.5 GBno data
Evo-1 VLA770M—no data
Fast-WAM World model6B—no data
GR00T N1.7 VLA3B≥16 GBno data
HIL-SERL RL——no data
LingBot-VA World model5.3B≥18 GBno data
MolmoAct2 VLA—12.1 GB measured bf16no data
Multitask DiT Imitation450M—no data
OpenVLA VLA7.5B15 GB measured bf16no data
OpenVLA-OFT VLA—≥16 GBno data
SmolVLA VLA450M1.75 GB measured fp32no data
TD-MPC RL——no data
VLA-JEPA VLA——no data
VQ-BeT Imitation——no data
WALL-OSS VLA——no data
X-VLA VLA900M—no data
π0 VLA3.3B13.32 GB measured fp32no data
π0-FAST VLA—≥8 GBno data
π0.5 VLA—≥8 GBno data

“Exceeds memory” compares a policy's upstream-stated minimum inference memory (never a measured peak, which is precision-specific) with this target's VRAM. It is arithmetic, not observation, and is labelled inferred. Quantised or split runtimes can change the answer; a measured run always wins.

All measured runs on L4

No measured runs on L4 yet. A run needs runtime, precision, camera count. Contribute one.

Sources

  1. T1 · upstream documentedvendor-docsverified 2026-10-24 (1d ago)

    L4 spec table: FP8 485 TFLOPS with sparsity, 24GB, 72W TDP.

    “FP8 Tensor Core 485 teraFLOPs* INT8 Tensor Core 485 TOPs* GPU memory 24GB GPU memory bandwidth 300GB/s NVENC | NVDEC | JPEG decoders 2 | 4 | 4 Max thermal design power (TDP) 72W”
    https://www.nvidia.com/en-us/data-center/l4/
  2. T1 · upstream documentedvendor-docsverified 2026-10-24 (1d ago)

    L4 page: powered by the Ada Lovelace architecture.

    “The NVIDIA L4 Tensor Core GPU powered by the NVIDIA Ada Lovelace architecture”
    https://www.nvidia.com/en-us/data-center/l4/
  3. T1 · upstream documentedofficial-docsverified 2026-10-24 (1d ago)

    Hugging Face Jobs pricing lists L4 flavors (24 GB).

    “1x Nvidia L4 8 vCPU 30 GB 24 GB 400 GB $0.80”
    https://huggingface.co/docs/hub/jobs-pricing