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GPU Cloud Infrastructure

GPU Bulut infraqurylymy

Janga buyn NVIDIA Rubin R100 NVL72 jane Groq LPX — alemdepi en ynemdi AI esepteuler

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Next-Gen GPU

NVIDIA Vera Rubin R100 NVL72

Tolyq stoika NVLink 6.0 fabric. Kommertsiyalyq qoljetimdi en quatti GPU juyesi.

Reserve NVL72 Capacity
FP4 Performance
1,400+ ExaFLOPS
FP8 Performance
700+ ExaFLOPS
HBM4 Memory
~6.5 TB per rack
Memory Bandwidth
468 TB/s
Power per Rack
~130 kW per rack
Cooling
CDU Liquid Cooling Only
<10ms
LLM Inference Latency
FinanceHealthcareCall CentersAI Agents
Real-Time Inference

Groq LPX — Naqty uaqyttagy inferens

10 ms-den az LLM inferens API. Naqty uaqyt qoldanbalarga arnalgan en zhyldm qurylygy.

  • ✓ Global API endpoints with <10ms latency
  • ✓ ~100W per chip — ultra energy efficient
  • ✓ Financial trading signals, medical diagnostics
  • ✓ AI call center agents in real-time

Korporativtik dengeydegi platforma

Basqarylatyn Kubernetes

Arber klientke oqshalandyrylan namespace. GPU avtomatty masshtabtau.

Slurm orkestratsiyasy

HPC dengeydegi tapsyrma josparlau.

InfiniBand jelisi

NVIDIA Quantum-X800 joqary otkizgishtilik.

Tolyq baqylau

DCIM, MLflow, GPU metrikalary, naqty uaqyt dashboardtary.

Performance

Benchmark Comparisons

NVIDIA Rubin R100 NVL72 delivers up to 5x more performance per dollar compared to H100. Combined with Groq LPX for inference — unmatched speed and efficiency.

LLaMA 3.1 70B Training

Time to train (1T tokens)
Rubin R100 NVL72~3 days
H100 SXM (8×)~15 days
A100 SXM (8×)~38 days

Inference Throughput

Tokens/sec (LLaMA 70B)
Groq LPX~3,000 tok/s
Rubin R100~800 tok/s
H100 TensorRT~350 tok/s
A100~120 tok/s

Memory Bandwidth

Per rack
Rubin R100 NVL72468 TB/s
GB200 NVL72~380 TB/s
H100 SXM (8×)26.4 TB/s

FP4 Performance

Per rack
Rubin R100 NVL721,400+ ExaFLOPS
GB200 NVL72~720 ExaFLOPS
H100 SXM (8×)~16 ExaFLOPS

* Benchmark estimates based on NVIDIA published specifications and industry testing. Actual performance may vary by workload. Rubin R100 NVL72 specs from NVIDIA GTC 2025 announcements.

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