ENVIX

Products

High-performance compute
without artificial limits.

Every Envix system is designed for sustained performance, open architecture, and predictable economics. From single nodes to thousand-GPU clusters.

01

Training & Inference Servers

Dense compute for model development and production inference

High-throughput GPU servers engineered for sustained training workloads and always-on inference. Balanced CPU, memory, and interconnect for maximum GPU utilization at scale.

Technical Specifications

GPUs4-8 Envix GPUs, CUDA-compatible
Memory512 GB - 2 TB DDR5 + 128-320 GB VRAM
Performance600-1,800 TFLOPS (FP16/BF16)
Power2.2-3.6 kW per chassis
InterconnectNVLink-class fabric, 400G Ethernet
PCIeGen5 x16
CoolingCold-plate liquid or high-efficiency air
FrameworksPyTorch, TensorFlow, JAX, vLLM

Key Features

  • High GPU utilization under mixed workloads
  • Optimized for long-running training jobs
  • Integrated telemetry and thermal headroom
  • Rack-ready for hyperscale and enterprise

Use Cases

  • LLM and multimodal training
  • High-volume inference services
  • Model fine-tuning pipelines
  • Batch analytics acceleration
Typical Buyer

AI labs, enterprise ML teams, infrastructure operators

Pricing

25-40% lower TCO vs. comparable systems

02

Edge AI Servers

Real-time inference where latency and power matter

Compact, ruggedized systems built for inference at the edge. Designed for factories, vehicles, and distributed sites where every watt and millisecond counts.

Technical Specifications

GPUs1-4 Envix GPUs, CUDA-compatible
Memory128-512 GB DDR5 + 32-96 GB VRAM
Performance120-450 TFLOPS (FP16/BF16)
Power350-1,100 W per system
Interconnect10/25/100G Ethernet, optional fiber
PCIeGen4/Gen5
CoolingSealed airflow with industrial filters
FrameworksTensorRT, ONNX, CUDA runtime

Key Features

  • Deterministic low-latency inference
  • Extended temperature tolerance (-20°C to 50°C)
  • Field-serviceable modular design
  • Remote management and secure boot

Use Cases

  • Autonomous vehicle perception
  • Smart manufacturing inspection
  • Retail vision analytics
  • Edge LLM assistants
Typical Buyer

Robotics firms, industrial operators, edge AI teams

Pricing

20-30% lower cost per edge node

03

Rendering Systems

High-VRAM compute for creative and visualization workflows

GPU systems tuned for real-time rendering, VFX, and visualization. High VRAM density, fast interconnect, and predictable throughput for creative pipelines.

Technical Specifications

GPUs2-8 Envix GPUs with large VRAM
Memory256 GB - 1 TB DDR5 + 96-256 GB VRAM
Performance300-1,200 TFLOPS (FP16/BF16)
Power1.6-3.2 kW per chassis
InterconnectHigh-bandwidth fabric, 100G Ethernet
PCIeGen5 x16
CoolingHigh-static pressure air or liquid
SoftwareBlender, Unreal, Omniverse, CUDA APIs

Key Features

  • Large scene rendering without memory swaps
  • Multi-GPU scheduling and queue management
  • Color-accurate output consistency
  • Render-farm ready configurations

Use Cases

  • Film and episodic rendering
  • Real-time visualization
  • Architectural and product design
  • Simulation-driven media production
Typical Buyer

Studios, visualization teams, media infrastructure ops

Pricing

Premium rendering throughput at accessible pricing

04

Custom Clusters

Purpose-built GPU infrastructure at any scale

Fully customized GPU clusters configured for your specific workload profile. We balance bandwidth, storage, scheduling, and power density to your requirements.

Technical Specifications

GPUs16-2,048+ Envix GPUs
Memory1-20 TB system memory + scalable VRAM
Performance5-500+ PFLOPS (FP16/BF16)
Power20 kW - 1 MW+ scale
Interconnect400G-800G fabric with RDMA
PCIeGen5/Gen6 (roadmap)
CoolingDirect-to-chip liquid, hot aisle containment
OrchestrationSlurm, Kubernetes, MPI, custom

Key Features

  • Custom topology optimized for your workloads
  • Integrated storage and data pipelines
  • Predictable scaling and thermal design
  • Dedicated support and lifecycle planning

Use Cases

  • Foundation model training
  • Enterprise inference grids
  • HPC simulation clusters
  • Multi-tenant AI platforms
Typical Buyer

Datacenters, hyperscalers, research consortia, national labs

Pricing

Cluster economics tuned to your power and cost targets

Comparison

Envix vs. Traditional GPU Vendors

Factor
Envix
Traditional
Cost
25-40% lower TCO with transparent pricing
Premium pricing with hidden enterprise fees
Licensing
No feature gates or mandatory bundles
Tiered licensing with artificial segmentation
Compatibility
CUDA-compatible, run existing code unchanged
Proprietary lock-in with migration costs
Openness
Open SDK, full kernel access, transparent specs
Closed ecosystem, limited customization
Lead Time
Stocked SKUs, weeks not quarters
Allocation queues, uncertain timelines

Request a demo node

Evaluate Envix hardware in your environment with hands-on support from our engineering team.

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