Large Model Inference
141GB memory enables running 70B+ parameter models without quantization. Serve LLaMA 70B, Falcon 180B, and GPT-class models.
NVIDIA H200 GPU Cloud 141GB HBM3e
The highest-memory GPU available. Run 70B+ models without quantization, with 4.8 TB/s bandwidth for lightning-fast inference.
H200 Technical Specs
Maximum memory Hopper GPU for largest AI workloads
Compute
- CUDA Cores16,896
- Tensor Cores528
- FP32 Performance67 TFLOPS
- FP16 Tensor1,979 TFLOPS
- FP8 Tensor3,958 TFLOPS
Memory
- Memory Size141GB HBM3e
- Memory Bandwidth4.8 TB/s
- Memory TypeHBM3e
- ECCYes
Connectivity
- InterconnectNVLink 4.0 (900 GB/s)
- PCIeGen5 x16
- TDP700W
- Form FactorSXM5
H200 Pricing Options
Premium memory, competitive pricing
On-Demand
Pay by the hour with no commitment. Perfect for experimentation.
- No minimum commitment
- Billed per minute
- Start/stop anytime
Reserved (Monthly)
Committed monthly capacity with guaranteed availability.
- ~8% savings vs on-demand
- Guaranteed availability
- Priority support
What Can You Build with H200?
Unlock workloads that need maximum memory
Large Model Inference
141GB memory enables running 70B+ parameter models without quantization. Serve LLaMA 70B, Falcon 180B, and GPT-class models.
Memory-Intensive Training
Train larger batch sizes and models that don't fit on 80GB GPUs. 76% more memory vs H100.
Multi-Modal AI
Run vision-language models like GPT-4V clones, LLaVA-Next, and other large multi-modal architectures.
Scientific Computing
High-memory workloads in molecular dynamics, climate modeling, and computational biology.
H200 vs Other GPUs
The memory leader in GPU compute
H200 vs H100
76% more memory (141GB vs 80GB), 43% higher bandwidth. Same compute, more headroom.
H200 vs A100 80GB
76% more memory, 2.4x bandwidth, 3x faster compute. H200 is next-gen.
H200 vs L40S
3x more memory, 5x higher bandwidth. H200 for largest models.
Explore other GPUs:
H200 Questions
When should I choose H200 over H100? +
Choose H200 when you need to run models larger than 70B parameters at full precision, or when batch size limitations on H100 impact your training efficiency. The 76% extra memory eliminates memory constraints.
What models benefit most from H200? +
LLaMA 70B, Falcon 180B (with model parallelism), Mixtral 8x22B, and any model requiring >80GB memory. Also excellent for serving multiple smaller models simultaneously.
Is H200 worth the price premium over H100? +
For memory-bound workloads, absolutely. Running a 70B model on H200 without quantization vs 4-bit quantized on H100 delivers significantly better output quality and throughput.
Do you offer multi-GPU H200 instances? +
Yes. We offer 1x, 2x, 4x, and 8x H200 configurations. India's largest H200 deployment with full NVLink connectivity.
What's the memory bandwidth advantage of H200? +
H200 delivers 4.8 TB/s memory bandwidth (43% higher than H100's 3.35 TB/s), crucial for inference where memory bandwidth often bottlenecks throughput.
Access India's Largest H200 Deployment
Run your largest models without memory constraints.
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