The embedding API built for production.

Production-grade embeddings on dedicated NVIDIA DGX infrastructure. Drop-in replacement for OpenAI.

87ms P50 latency · dedicated GPU, no shared queue
OpenAI-compatible: two lines of code to switch
Zero data retention · zero trust mTLS
Three quality tiers: Turbo, Pro, Ultra 4K

New accounts start with 10M free tokens. No credit card.

Program Membership Member of NVIDIA Inception

two lines to switch

# before
client = OpenAI(
  base_url="https://api.openai.com/v1",
  api_key=os.environ["OPENAI_API_KEY"]
)

# after
client = OpenAI(
  base_url="https://api.voxell.ai/v1",
  api_key=os.environ["VOXELL_API_KEY"]
)

→ 4096-dim float32 · 87ms · same response schema

The Platform

FORGE

Production Embedding API

Up to 75 MTEB · Up to 3x Faster · Zero Data Retention

Dedicated CUDA engine on dedicated GPUs. OpenAI-compatible endpoint. Three tiers of precision: Turbo, Pro, Ultra 4K.

Explore Forge →

Start with Forge. The rest is what production looks like at scale. Training your own model? Forge the dataset behind our #1 MTEB ranking →

COHERENCE

Deterministic Semantic Memory

GPU-accelerated semantic retrieval with guaranteed consistency. For AI agents and trading systems.

Up to 100x faster queries →

MASH

Data-Aware GPU Sorting

Topology-aware sorting that exploits data structure. Up to 9x faster on real-world distributions.

See benchmarks →

ART

GPU-Accelerated Rate Limiting

Move rate limiting to GPU. One device replaces dozens of Redis nodes. Microsecond decisions at scale.

Up to 95% less overhead →

ARC

Deterministic Vector Cache

Predictable caching for RAG pipelines. Same query, same results, every time. Built for auditable AI.

Microsecond retrieval →

Ready to replace your embedding provider?

OpenAI-compatible. 10M free tokens. No migration risk.

Get API Access

87ms

P50 end-to-end latency

10M

Free tokens to start

Zero

Data retention

NVIDIA Inception

Engineering

The technical foundations behind Voxell's products.

Ripping Out TEI

Why I ripped out Hugging Face TEI and built qwen-embed-native, a Go + custom-CUDA embedding engine …

Ingot Poured

Voxell's MTEB(eng, v2) submission: architecture, training methodology, contamination defense, and …

View all engineering articles →

Get In Touch

Commercial benchmarking, volume pricing, or custom SLAs. Talk to us directly.