Why choose H100 over other GPUs?

H100 offers 6x faster training than A100, 80GB HBM3 memory with 3TB/s bandwidth, and 4th gen Tensor Cores. It's ideal for training the largest LLMs, running inference at scale, and cutting-edge AI research.

What workloads benefit most from H100?

H100 excels at training large language models (70B+ parameters), high-throughput inference, transformer networks, and scientific computing. Its FP8 precision delivers 30x speedup for LLM inference.

How much can I save with VoltageGPU H100?

VoltageGPU H100 at $6.62/hour is 85% cheaper than AWS p5.48xlarge at $98.32/hour. You get the same performance at a fraction of the cost with instant deployment and no long-term commitments.

What makes the H100 better than the A100 for AI workloads?

The H100 features the new Hopper architecture with Transformer Engine, providing up to 9x faster AI training and 30x faster inference compared to A100. It includes FP8 precision support, 80GB HBM3 memory with 3.35TB/s bandwidth, and fourth-generation Tensor Cores optimized for transformer models.

Can I run multiple models simultaneously on H100?

Yes, H100 supports Multi-Instance GPU (MIG) technology, allowing you to partition a single H100 into up to 7 isolated GPU instances. Each instance has dedicated compute, memory, and bandwidth for secure multi-tenant usage.

What's the minimum rental period for H100 instances?

H100 instances have a minimum billing period of 1 hour. After the first hour, billing is calculated per minute. No long-term contracts required - scale up or down based on your needs.

VOLTAGEGPU

NVIDIA H100 80GB Hopper GPU

The world's most advanced GPU for AI and HPC. Experience unprecedented performance with Transformer Engine.

Starting at

$3.47/hour

Deploy Time

30-60 sec

Regions

Decentralized — location varies (active nodes)

Availability

Depends on availability on Bittensor

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Technical Specifications

GPU Performance

16,896 CUDA Cores
528 Tensor Cores (4th Gen)
67 TFLOPS FP32
3,958 TFLOPS FP8

Memory

80GB HBM3
3,350 GB/s Bandwidth
50MB L2 Cache
Hopper Architecture

Connectivity

PCIe Gen 5.0 x16
NVLink 4.0 (900 GB/s)
18 NVLink Links
Multi-Instance GPU

AI Features

Transformer Engine
FP8 Precision
Dynamic Programming
Confidential Computing

Ideal Use Cases

Large Language Models

Train and deploy massive LLMs with Transformer Engine acceleration and FP8 precision.

GPT-4 scale training
LLaMA 2 70B fine-tuning
Mixtral 8x7B inference

AI Inference at Scale

Deploy production AI services with industry-leading throughput and latency.

Real-time chatbots
Recommendation engines
Computer vision APIs

Scientific Computing

Accelerate HPC workloads with massive memory bandwidth and compute power.

Drug discovery
Climate simulation
Genomics research

Performance Comparison

Specification	H100 80GB	A100 80GB	H100 SXM
Memory	80 GB HBM3	80 GB HBM2e	80 GB HBM3
Memory Bandwidth	3,350 GB/s	2,039 GB/s	3,350 GB/s
CUDA Cores	16,896	6,912	16,896
FP32 Performance	67 TFLOPS	19.5 TFLOPS	67 TFLOPS
Architecture	Hopper	Ampere	Hopper
Price/Hour	From $3.47	From $2.49	From $4.99

Real-World Benchmarks

GPT-3 175B Training

9.2 TFLOPS

8.36x faster than A100

LLaMA 70B Inference

487 tok/s

3.31x faster

BERT Large Training

7,234 seq/s

2.54x improvement

Stable Diffusion XL

89.3 img/min

3.67x faster

Frequently Asked Questions

What makes the H100 better than the A100?

The H100 features the new Hopper architecture with Transformer Engine, providing up to 9x faster AI training and 30x faster inference. It includes FP8 precision, 80GB HBM3 memory with 3.35TB/s bandwidth, and fourth-generation Tensor Cores.

What is the Transformer Engine?

The Transformer Engine uses FP8 precision with FP16 accuracy to deliver up to 5x faster training for large language models. It automatically manages precision conversion and scaling for optimal performance.

Can I run multiple models simultaneously?

Yes, H100 supports Multi-Instance GPU (MIG) technology, allowing you to partition a single H100 into up to 7 isolated GPU instances with dedicated resources.

What frameworks are supported?

H100 instances come with CUDA 12.0+, PyTorch 2.1+, TensorFlow 2.14+, JAX, and support for Transformer Engine optimizations. Custom Docker images are fully supported.

Multi-GPU Configurations

2x H100

160GB Total VRAM
134 TFLOPS FP32
NVLink Bridge
$6.94/hour

Deploy 2x Config

4x H100

320GB Total VRAM
268 TFLOPS FP32
Full NVLink Mesh
$13.88/hour

Deploy 4x Config

8x H100

640GB Total VRAM
536 TFLOPS FP32
Enterprise Scale
$27.76/hour

Deploy 8x Config

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