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Inference
Inference is a distributed GPU network for running AI models efficiently across a global infrastructure.
Distributed
Description
Inference is a distributed GPU network for running AI models. Users can connect their devices to contribute computing power, access APIs to perform model inference, and monitor workloads through a dashboard. The platform offers an open infrastructure that helps scale machine learning workloads without relying on centralized servers.Grant Funding
VC Funding
None
2025
$0
$12M
Technology & Skills
OPEN SOURCE
ETL PIPELINE
DPO
REINFORCEMENT LEARNING
MENTORSHIP
MODEL PERFORMANCE
TRPC
ETL
GRPC
MULTIMODAL MODEL
NARRATIVE DEVELOPMENT
YOUTUBE
DATA VISUALIZATION
THROUGHPUT
STORYTELLING
D3
SPECULATIVE DECODING
DISTRIBUTED INFERENCE
CLOUD ANALYTICS
CACHE TUNING
GPU
JWT
GPU PROFILING
AUTHORIZATION
BENCHMARKING
ML TOOLING
NVIDIA GPU
TESTING
C#
OIDC
CONTINUOUS BATCHING
SFT
UX DESIGN
OPTIMIZATION
SSR
RL
MODEL DISTILLATION
FILMMAKING
JSON
AUC
GO
TAILWIND CSS
AUTHENTICATION
TIKTOK
DOCUMENTARY FILMMAKING
DESIGN REVIEW
API
EVALUATION
REACT
TERRAFORM
TENSORRT-LLM
WEBSOCKET
AXOLOTL
LORA SERVING
SGLANG
CHROME DEVTOOLS
MOTION GRAPHICS
CONTENT STRATEGY
TRANSFORMER ARCHITECTURE
VISX
INFERENCE OPTIMIZATION
ATTENTION MECHANISM
CODE SPLITTING
EXPERIMENTAL DESIGN
DEEPSPEED
PYTORCH
EDITING
NEXT.JS
NODE
PYTHON
LORA
AUTHN
RLHF
LIGHTHOUSE
VLLM
DISTRIBUTED TRAINING
AUTHZ
CHROME DEBUGGING
OBSERVABILITY
LEARNING-TO-RANK
HUGGING FACE TRANSFORMERS
DOCKER
RECHARTS
TYPESCRIPT
MEGATRON
LOSS FUNCTION
CI/CD
TEAM MANAGEMENT
QUANTIZATION
DOM
HYDRATION
JAVASCRIPT
VIDEO PRODUCTION
FINE-TUNING
REST
GPU PROGRAMMING
TENSORFLOW
COLOR GRADING
VIDEO
GENERALIZATION
ACCESSIBILITY
CUDA
DASHBOARD
KV CACHE OPTIMIZATION
TANSTACK
TRL
DATA PROCESSING
REGULARIZATION
MODEL EVALUATION