Full-stack AI acceleration platform for enterprise.
Run AI faster and smarter. Maximize AI performance across any hardware platform. Simplify AI workload deployment, scaling, and orchestration with Docker and Kubernetes.
Performance Optimization.
Optimal inference performance across any workload or hardware, with zero manual tuning.
Proven by MLPerf Benchmark.
State of the art multiple achievements in MLPerf benchmarks.
Frontier Open Models.
The popular open models, optimized out of the box.
Auto tuned, Turnkey inference platform.
Covers the full inference stack. Routing, serving, KV cache tiering, and storage.
Top Application Layer
Routing Layer
Serving Engine Layer
Prefix Tiering Layer
AI Ecosystem Layer
AI Backend Storage
OS/Foundation Layer
Physical Hardware Layer
Faster AI. Lower Costs. Proven on real benchmarks.
Full stack acceleration that holds throughput at scale and pays back faster than buying tokens from an API.
Performance
3.0×More tasks per GPU
vs. standard serving
Efficiency
~90%Prompts Reused from Cache
88.5% cache hit/3.5% queue wait time
Scalability
StableSustained Concurrent Users
As concurrent User Scale 16 > 64 Linear scaling validated
Cost Saving
~$700KSaved over 3 years
per 8×MI300X node
* SWE-Bench · GLM-5 (FP8) · AMD MI300X · vs. Anthropic Sonnet API
Frontier Open Models. Boosted Beyond Limits.
LLMBoost serves and optimizes today's most popular open source models on AMD Instinct™ GPUs (MI300X/ MI355X), delivering high token throughput and cost efficiency per token.
DeepSeek V3.2
DeepSeek · V4 to follow
An MoE model with DeepSeek Sparse Attention, serving reasoning and chat at high throughput and low cost.
GLM 5.1
Z.ai (Zhipu AI)
Z.ai's flagship general purpose model for reasoning, coding, and agents.
MiniMax M2.7
MiniMax
A compact, efficient model built for coding and agentic workflows.
Exaone 3.5
LG AI Research
LG AI Research's hybrid model blending fast responses with deep reasoning, strong in agents and Korean.
Qwen
Alibaba
One of the most widely adopted open model, from compact dense models to a 235B MoE flagship, Apache 2.0 and multilingual.
* Model availability is expanding over time and may change. All product and company names, trademarks, and logos are the property of their respective owners and are used here for identification only.
Available on the System
Need to scale? Explore optimal server ecosystem.
Alphonso I GPU Server
- AI optimized full stack system design
- Near linear multi node scaling with BoostX™ AI NIC
- Zero downtime service & integrated dashboard
What workloads is it built for?
Explore the full range of workloads MangoBoost LLMBoost™ is built to accelerate, from AI inference and training to large-scale LLM serving and beyond.
Production LLM Serving
Run chatbots, copilots, and AI search at scale with consistent low latency and high throughput.
ChatbotsRAG
Enterprise Fine-Tuning
Train and fine-tune Llama-class models in minutes, not days. Built-in checkpointing included.
LoRALlama
Multi-Modal & Reasoning
Accelerate vision-language and reasoning models with up to 43× faster throughput on Qwen2.5 and 520× faster TTFT on DeepSeek-R1.
QwenDeepSeek
Hybrid Infrastructure
Deploy the same stack on-prem, in cloud, or across mixed AMD/NVIDIA clusters with no vendor lock-in and no rewrites.
On-premAMD + NVIDIA
Latest from MangoBoost.
Benchmark milestones, engineering deep-dives and company announcements.
Related news and blog posts will appear here as they are published.
Need a Boost?
Our team is at the ready to create a customized plan for you to optimize and scale your business.