Rent only the VRAM and compute you need
Instant deployment for fractional MIG slices and full physical GPU nodes.
NVIDIA H100 10GB Slice
Ideal Use Case:7B-8B Parameter LLMs & Fast Inference Endpoints
- 10GB Hardware Isolated VRAM
- Dedicated CUDA Slice
- Zero Noisy-Neighbor Latency
NVIDIA H100 20GB Slice
Ideal Use Case:13B-14B LLMs & LoRA Fine-Tuning Workloads
- 20GB Hardware Isolated VRAM
- Dedicated Memory Cache
- Predictable QoS Guarantee
NVIDIA H100 40GB Slice
Ideal Use Case:32B-34B LLMs & Medium Model Training
- 40GB Hardware Isolated VRAM
- High-Throughput Memory Slices
- Multi-Tenant Isolation
NVIDIA H100 SXM5 80GB
Ideal Use Case:70B+ LLM Inference, Enterprise Fine-Tuning & Pre-training
- 80GB Full HBM3 VRAM
- 3.35 TB/s NVLink Bandwidth
- Transformer Engine Acceleration
NVIDIA H200 SXM 141GB
Ideal Use Case:405B Model Slices, Massive Context Windows & KV Cache
- 141GB Ultra-Fast HBM3e VRAM
- 1.4x VRAM Capacity vs H100
- 4.8 TB/s Memory Bandwidth
NVIDIA B200 Blackwell
Ideal Use Case:Trillion Parameter AI, Real-time Frontier Model Inference
- 192GB Blackwell HBM3e Memory
- Second-Gen Transformer Engine
- 20 PFLOPs FP4 Compute
Why Rent GPUs on Istidlal?
Zero CapEx & No Lock-in
Flexible AccessAvoid multi-year enterprise contracts. Rent GPUs on-demand and stop paying the moment your job completes.
Hardware-Level MIG Isolation
Hardware ProtectedSlices run with dedicated physical compute cores and memory controllers, preventing noisy neighbor slowdowns.
Global Tier-4 Data Centers
Low LatencyLow-latency nodes in US, Europe, and Asia with 99.99% uptime SLAs and direct fiber interconnects.
Instant Container & SSH Provisioning
Instant BootBoot custom PyTorch, vLLM, CUDA 12.4, or Docker environments in under 3 seconds via CLI or Web Console.