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Together Compute vs BitNet
Side-by-side comparison of features, pricing, and ratings
Full-stack AI-native cloud for inference, fine-tuning, and GPU compute.
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Pricing
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Free
Plans
Pay-per-token (variable by model)
Contact for pricing (50% lower than serverless)
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$0/mo
Popularity
4.6k views
5.7k views
Skill Level
Advanced
Advanced
API Available
Platforms
APIWebCLI
CLI
Categories
⚙️ Developer Infrastructure
⚙️ Developer Infrastructure
Features
Serverless inference for open-source models
Batch inference scaling to 30B tokens per model
Dedicated model inference on custom hardware
Dedicated container inference for generative media
GPU clusters from self-serve to thousands of GPUs
AI Factory custom infrastructure at frontier scale
Sandbox development environments for AI apps
Managed storage with zero egress fees
Fine-tuning open-source models with research techniques
Model shaping using your data
Evaluations to measure model quality
Together Kernel Collection for faster pre-training
FlashAttention-4 kernel for accelerated attention
Model library with MiniMax, Qwen, GLM, DeepSeek, Llama 4
Fast & lossless inference for 1-bit LLMs (BitNet b1.58)
Optimized CPU kernels for ARM & x86
Official GPU inference kernel (05/2025)
Parallel kernel implementations with configurable tiling
Embedding quantization for additional 1.15x-2.1x speedup
1.37x–6.17x CPU speedup vs baseline
55%–82% CPU energy reduction
Run 100B BitNet b1.58 on single CPU (5-7 tok/s)
Lookup Table kernels built on T-MAC methodologies
Support for Hugging Face 1-bit models
Conda environment setup script (setup_env.py)
Inference server (run_inference_server.py)
Lossless inference—no accuracy degradation
NPU support coming next
Integrations
CodeSandbox SDK
Python
OpenAI-compatible API
GitHub
Hugging Face
Docker
Kubernetes
Prometheus
Grafana
AWS S3
Azure Blob
Google Cloud Storage
Hugging Face (model hub)