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The all-in-one control panel for enterprise GenAI. A unified platform to experiment, build, scale, and consume private and cloud AI models and agents.
Multi-modal Inference Model Management Guardrails Observability
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Independently Verifiable Benchmarks

Measured Performance,
Production-Grade Results

Every benchmark independently verifiable. Every claim documented. See exactly how Latent Bud performs under real-world conditions.

+144% Throughput Gain
-79% P99 Latency
280x Faster Tokenization
32.5% Cache Hit Rate
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Throughput

Handle More Requests with the Same Hardware

Token-budget batching delivers up to 144% more throughput at typical API concurrency levels.

Requests Per Second vs Concurrency

Token-Budget (LatentBud) Size-Based (Baseline)
+144% at Concurrency 1

Interactive/real-time apps see the biggest gains

+45% at Concurrency 32

Typical API usage patterns

+8% at Concurrency 256

Heavy load scenarios

Latency

Respond Faster Under Any Load

Dramatically lower tail latencies mean consistent user experiences, even during traffic spikes.

P50 Latency (Median)

Conc. 1
11.83ms
8.37ms
-29%
Conc. 8
163.86ms
60.73ms
-63%
Conc. 32
366.14ms
196.24ms
-46%

P99 Latency (Tail)

Conc. 1
42.40ms
9.02ms
-79%
Conc. 8
335.59ms
308.01ms
-8%
Conc. 32
830.85ms
705.89ms
-15%
Tokenization

Remove the CPU Bottleneck

BudTikTok SIMD tokenizer eliminates the 90% CPU-bound bottleneck in embedding inference.

280 x

Faster than HuggingFace Tokenizers

AVX-512 / NEON SIMD acceleration
Zero-copy batch processing
Rayon parallel execution
HuggingFace
1x
BudTikTok
280x
Platform

The Complete Inference Platform

Latent Bud leads across all major capability dimensions compared to alternatives.

LatentBud 45/45
HuggingFace TEI 29/45
Infinity 28/45
Baseten BEI 26/45
5/5

Core Inference

10+ model types, multi-modal support

5/5

Scheduling

HACC + Token-budget + Priority

5/5

Hardware Support

8 platforms, 600+ SKUs

5/5

Tokenization

280x faster SIMD tokenizer

5/5

Caching

Hybrid L1+L2, 32.5% hit rate

5/5

Extensibility

7-type plugin system

Caching

Save Compute with Smart Caching

Hybrid L1+L2 caching delivers industry-leading hit rates for repeated queries.

32.5% Hit Rate

L1 Memory Cache

Hot data, ~10x faster hits, LRU eviction

L2 Disk Cache

Cold data, persistence, DiskANN support

1.45x Overall Speedup
Efficiency

Maximize Your Hardware ROI

HACC scheduler ensures your GPUs are working at peak efficiency.

95%+ GPU Utilization
20.1% Avg CPU Usage
10.2 GB RAM Usage
1.14 GB VRAM Usage
111.6W GPU Power
Hardware

Run Anywhere

Deploy on 600+ hardware targets across 8 major platforms.

NVIDIA CUDA

A100, H100, RTX series

AMD ROCm

MI250, MI300 series

Apple MPS

M1, M2, M3 chips

AWS Neuron

Inf2, Trainium instances

Intel Gaudi

HPU accelerators

Google TPU

v4, v5 TPU pods

CPU Only

x86, ARM64 support

PyTorch Native

torch.compile, ONNX

600+ Hardware SKUs Supported
Extensibility

Extend Without Forking

The only embedding server with a comprehensive plugin architecture.

Preprocessor

PII redaction, text normalization

Postprocessor

Quantization, dimension reduction

Cache

Redis, Memcached, DiskANN

Scheduler

Custom batching strategies

Backend

TensorRT, OpenVINO, custom

Hardware

TPU, custom ASIC support

API

Custom endpoints, auth

Hot reload without downtime
Entry point discovery
Sandboxed execution
Health monitoring
Methodology

Transparent Testing

All benchmarks are independently reproducible with documented methodology.

Test Environment

  • Model: BAAI/bge-small-en-v1.5
  • Workload: Mixed sequences (8-512 tokens)
  • Hardware: Single GPU
  • Date: December 2024

Measurement Protocol

  • Warmup: 1000 requests
  • Duration: 60 seconds per test
  • Metrics: RPS, P50, P99, tokens/sec
  • Repetitions: 3 runs, median reported

Workload Distribution

  • Short (8-64 tokens): 30%
  • Medium (64-256 tokens): 50%
  • Long (256-512 tokens): 20%
  • Pattern: Realistic API traffic
Download Raw Data (CSV) View Benchmark Scripts
Enterprise

Production-Ready Security

Enterprise-grade security, compliance, and observability built-in.

Security

  • AES-256-GCM encryption
  • TLS 1.3 / mTLS support
  • API key + Bearer auth
  • PII auto-masking (12+ types)

Compliance

  • HMAC tamper-proof audit logs
  • SOC2/HIPAA ready
  • Data residency control
  • 90-day log retention

Observability

  • Prometheus metrics (50+)
  • OpenTelemetry tracing
  • Structured JSON logging
  • Plugin health monitoring

High Availability

  • Multi-level health checks
  • Graceful shutdown
  • Backpressure control
  • Auto-scaling metrics
MIT License
SOC2 Ready
HIPAA Ready
GDPR Compliant

Ready to See Real Performance?

Get started with Latent Bud today and experience production-grade embedding inference.

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