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Together AI vs warm-rust

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Together AI compared with warm-rust
DetailTogether AI logo Together AIwarm-rust logo warm-rust
What it doesThe AI Native Cloud Hybrid search, graph indexing, and vector-symbolic memory for AI agents
StageNot given Startup
FoundedNot given 2026
Based inNot given US
Pricing modelFreemium Open source
PricingServerless inference with pay-per-use token pricing ($0.0015 to $4.50 per 1M tokens for chat/vision models). Provisioned throughput with reserved PTUs for committed capacity. Dedicated GPU endpoints at $5.49-$8.99 per hour. Fine-tuning from $0.34-$40 per 1M tokens. GPU clusters at $1.99-$9.99 per GP Open source under Apache-2.0 license. WARM Cloud is in development with usage-based pricing for sync, backup and verification; details to be published at launch.
Key features
  • GPU clusters at scale with autoscaling
  • Voice agent infrastructure with sub-second latency
  • Comprehensive model library with 25+ regions
  • Hybrid search combining BM25 lexical and vector scoring
  • Vertex graph vector index with 2.29-2.75x throughput vs hnswlib
  • Vector-symbolic fact memory with holographic reduced representations
  • AES-256-GCM encryption at rest with Argon2id key derivation
  • Signed audit log with Ed25519 and W3C DID identity
  • Secure purge that overwrites deleted data with zeros
  • Crash-safe append-only log with checksumming
  • Native Rust API with Python HTTP client and Node.js bindings
  • MCP server integration for editors and AI agents
  • WARM Cloud sync, backup and verification without server access to keys or documents
What makes it different
  • 2x faster inference powered by cutting-edge research optimization
  • 60% lower cost with workload-specific optimization
  • 90% faster pre-training with Together Kernel Collection
  • Research-optimized infrastructure with proprietary kernels
  • Single unified API across multiple model providers
  • Runs entirely locally in your process with no network calls or telemetry
  • Encryption at rest built into the open-source engine itself, not an enterprise add-on
  • Significantly faster vector search than hnswlib with graph-indexed vertex retrieval
  • Signed provenance and verified audit trail using C2PA, COSE and SCITT standards
  • Embedded library model eliminates dependency on external services or vendor lock-in
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)82 +1 (up) since last check26 no change since last check
Trust Flow (Majestic)3612
Citation Flow (Majestic)5624
Referring domains (Majestic)819556

5 details filled in for both companies.

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