According to @hyperbolic_labs, Hyperbolic is offering H200 GPUs at a listed price of $2.65 per hour with on-demand access and options to rent either a single H200 or an 8x H200 setup for AI workloads; source: @hyperbolic_labs on X dated Sep 2, 2025. At this rate, a continuous 24-hour run costs approximately $63.60 per H200 and about $1,934 for a 30-day month, calculated directly from the stated $2.65 per hour price; source: @hyperbolic_labs. The post confirms on-demand availability and AI workload support without restrictions noted in the announcement; source: @hyperbolic_labs.

According to @hyperbolic_labs, Hyperbolic Labs offers on-demand access to individual NVIDIA H200 GPUs with no minimum requirement at a listed rate of 2.20 USD per hour per GPU, source: Hyperbolic @hyperbolic_labs on X, September 2, 2025. According to @hyperbolic_labs, users can rent exactly what they need, from a single H200 to multiple clusters, providing a clear per-hour price point for H200-class compute, source: Hyperbolic @hyperbolic_labs on X, September 2, 2025.

According to @hyperbolic_labs, NVIDIA’s H200 delivers up to 1.9x faster large language model inference versus the H100, and the source emphasizes this latency gain is crucial for production environments where response time matters (source: @hyperbolic_labs). According to @hyperbolic_labs, the highlighted low-latency advantage directly targets production-grade generative AI workloads that demand rapid inference (source: @hyperbolic_labs).

According to @hyperbolic_labs, the latest performance comparison between NVIDIA H100 SXM, H200 SXM, and HGX B200 GPUs reveals significant upgrades in memory and bandwidth that could accelerate AI and crypto trading algorithms. The H100 SXM offers 80 GB at 3.35 TB/s with up to 3.96 PFLOPS (FP8), while the H200 SXM doubles memory to 141 GB and bandwidth to 4.8 TB/s, maintaining similar compute performance. The HGX B200 further increases capacity to 180 GB with 7.7 TB/s bandwidth and up to 9 PFLOPS (FP8). These advancements are expected to enhance high-frequency trading and decentralized AI-powered crypto strategies by enabling faster data processing and model training, which could influence demand for crypto-related GPU mining and AI infrastructure. Source: @hyperbolic_labs