Use Cases

Accelerating Deep Learning Inference Across Cpu, Gpu, And Npu

1 project

Batch-convert Large Document Sets On Gpu Or Cpu

1 project

Cpu Inference Of Sharded Models

1 project

Cpu-only Inference With No Gpu

1 project

Cpu-only Local Llm Inference Without Gpu Or Blas

1 project

Deploy Models Across Cpu, Gpu, And Mobile Devices

1 project

Fetch Pod Logs And Node/pod Cpu-memory Metrics

1 project

Hybrid Cpu+gpu Inference For Models Larger Than Vram

1 project

Inspect Node And Pod Cpu/memory Via Metrics-server

1 project

Low-latency Ann Search On Arm (neon) And X86 (avx-512) Cpus

1 project

Monitor Live Cpu, Memory, Gpu, Disk, Battery Stats

1 project

Multi-gpu And Heterogeneous Cpu/cuda/metal Execution

1 project

Offload KV Cache To Cpu Ram, Ssd, Redis Or Object Storage

1 project

Profile Cpu Vs Gpu Frame Timing And Capture Unreal Insights Traces

1 project

Reproduce Contact-rich Scenes Bitwise With The Cpu Mujoco Solver For Debugging

1 project

Review Cpu/memory/disk Before Launching Another Agent On A Box

1 project

Run A 2.78t-parameter Moe Llm On A Single Cpu With 8 GB Ram

1 project

Run Diffusion Models Locally On Cpu Or Gpu

1 project

Run Llms And Vlms Locally On Cpu, Gpu, Or Npu

1 project

Run Local Models With Ollama On Cpu, Nvidia Or Amd Gpus

1 project

Run On Amd/intel Via Cpu Or Windows Directml

1 project

Run Small Llms (135m-4b) Locally In The Browser On Webgpu/cpu

1 project

Run Untrusted Agent Code In Isolated Cpu/memory-limited Sandboxes

1 project

Sample Cpu Stacks With Py-spy

1 project

Size Ram, Disk, Cpu And Node Count Before Deployment

1 project