# World’s First Diamond-Cooled GPUs Go Live in India — 15% More Compute, 5°C Cooler, Zero Thermal Throttling

URL: https://technosports.co.in/worlds-first-diamond-cooled-gpus-go-live/  
Published: 2026-02-25  
Updated: 2026-02-25  
Author: Raunak Saha

**Diamonds aren’t just for jewelry anymore — they’re cooling NVIDIA H200 GPUs in Bengaluru.** On February 23, 2026, [NxtGen AI deployed the world’s first Diamond-Cooled NVIDIA H200 GPU servers](https://www.prnewswire.com/news-releases/akash-systems-delivers-worlds-first-diamond-cooled-nvidia-gpu-servers-to-nxtgen-ai-pvt-ltd-302694640.html) using [Akash Systems’ patented Diamond Cooling® technology](https://www.akashsystems.com/), delivering **15% more usable compute**, **5°C lower GPU hotspot temperatures**, and **throttle-free operation at ambient temperatures up to 50°C (122°F)**. This isn’t theoretical — the servers are live in production, powering India’s sovereign AI infrastructure.

For context: AI data centers typically run at 24–29°C (75–85°F). India’s data centers often hit 35–40°C. Diamond Cooling® eliminates thermal throttling entirely, meaning GPUs stay at peak performance even in extreme heat — a structural advantage for countries where cooling costs and ambient temperatures are AI infrastructure bottlenecks.

## The Physics: Why Diamond Beats Copper by 5x

Here’s the simple physics: **diamond is the most thermally conductive material known to humanity**, with a thermal conductivity of **2200 W/mK** — **5x better than copper** (400 W/mK), the current industry standard.

Akash Systems’ breakthrough isn’t just using diamond — it’s **coupling synthetic diamond materials directly to semiconductor chips** to accelerate heat extraction from GPUs running at 90–100°C. The technology was originally developed in partnership with **NASA for satellite systems** and is currently operating in active orbit before being adapted for terrestrial AI infrastructure.

| **Cooling Material** | **Thermal Conductivity (W/mK)** | **Heat Removal vs Copper** |
| --- | --- | --- |
| **Diamond** | 2200 | 5x faster |
| **Copper** | 400 | Baseline (1x) |
| **Aluminum** | 205 | 0.5x |
| **Thermal Paste** | 3–12 | 0.01x |

The Diamond Cooling® layer is an **additive innovation** — it complements existing air and liquid cooling architectures rather than replacing them. You can stack it on top of liquid immersion cooling, direct-to-chip liquid cooling, or traditional air cooling, and get incremental performance gains.

## Performance Results: 15% More Compute Without Buying More GPUs

NxtGen’s deployment delivers measurable improvements:

| **Metric** | **Improvement** | **Real-World Impact** |
| --- | --- | --- |
| **GPU Hotspot Temperature** | ~5°C lower | Sustained peak silicon performance, improved thermal stability |
| **FLOPs per Watt** | ~15% improvement | Higher compute efficiency per unit of power consumed |
| **Usable Compute Output** | ~15% increase | Eliminates thermal throttling = higher effective GPU productivity |
| **Operating Ambient Temp** | Up to 50°C (122°F) | Throttle-free in extreme heat (critical for India, Middle East, Africa) |
| **GPU Fan Speed** | 50% reduction | 90% reduction in GPU fan energy consumption |
| **Total Cost of Ownership** | Lower TCO | Enhanced capital productivity per server |

The **15% improvement in usable compute** is the key number. In AI infrastructure economics, even a 1–2% compute gain is meaningful. **15% is transformative.** It’s the equivalent of getting 1.15 H200 GPUs for the price of 1.

Dr. Felix Ejeckam, Co-Founder & CEO of Akash Systems, framed it perfectly: *“In a world where a one to two percent increase in compute is meaningful, a 15 percent increase in GPU compute is truly game-changing.”*

## Why India? The Sovereign AI Infrastructure Play

NxtGen AI isn’t just another cloud provider — it’s **India’s largest sovereign cloud provider**, built to ensure data, operational, and technological sovereignty. This matters enormously as India races to build domestic AI capacity under the **India AI Mission** and **Digital India RISC-V (DIR-V)** initiatives.

A.S. Rajgopal, MD & CEO of NxtGen, positioned it clearly: *“At NxtGen, we are architecting India’s most advanced sovereign AI infrastructure. The deployment of Diamond-Cooled NVIDIA H200 servers strengthens our AI backbone by increasing usable compute per watt and per rack.”*

NxtGen operates data centers across **Ahmedabad, Bengaluru, Faridabad, and Mumbai** and offers GPU clusters unified across **NVIDIA, AMD, and Intel architectures**, giving enterprises flexibility while maintaining sovereign data residency.

For [Indian enterprises, government agencies, and AI startups](https://technosports.co.in/ai-technology/), NxtGen’s Diamond-Cooled infrastructure means:

- **15% more AI training throughput** without buying additional GPUs
- **Lower power bills** (improved FLOPs per watt reduces electricity costs)
- **Guaranteed performance in summer months** when traditional data centers throttle
- **Sovereign data residency** (BFSI, healthcare, defense workloads stay in India)

## The $27 Million Deal: Khosla Ventures & Founders Fund Backing

This isn’t a pilot. In December 2024, Akash Systems and NxtGen signed a **$27 million contract** (₹225 crore) to deploy Diamond-Cooled servers across NxtGen’s data center footprint. The deal positions NxtGen as the **world’s most energy-efficient AI compute provider** by combining:

- **Akash’s Diamond Cooling®**
- **Waterless liquid cooling**
- **NVIDIA and AMD GPUs**

The result? **Double the performance per watt**, enabling NxtGen to **reduce AI compute costs by 50% vs prevailing market rates** while maintaining higher margins.

Akash Systems is backed by **Vinod Khosla (Khosla Ventures)** and **Peter Thiel (Founders Fund)** — two of Silicon Valley’s most legendary AI infrastructure investors. Vinod Khosla said of the partnership: *“This partnership with NxtGen highlights the scalability of Akash’s technology and showcases its ability to accelerate AI workloads by reducing thermal throttling and maximizing compute cycles.”*

Akash also secured **$68 million in CHIPS Act funding** from the U.S. Department of Commerce ($18.2M direct funding + $50M in federal and California state tax credits) to scale production.

## The Competitive Landscape: Who Else Is Solving GPU Heat?

GPU thermal management is becoming the **defining constraint** in AI infrastructure. Everyone’s racing to solve it:

| **Company** | **Approach** | **Backing** | **Deployment Status** |
| --- | --- | --- | --- |
| **Akash Systems** | Diamond Cooling (5x copper) | Khosla Ventures, Founders Fund, $68M CHIPS Act | Production (NxtGen, Feb 2026) |
| **Liquidstack** | Liquid immersion cooling | Series C, $100M+ raised | Production (multiple data centers) |
| **Submer** | Liquid immersion (Spain-based) | Series B, €60M raised | Production (Europe, US) |
| **CoolIT Systems** | Direct-to-chip liquid cooling | Acquired by Daikin (2023) | Production (enterprise servers) |
| **ZutaCore** | Waterless direct-on-chip cooling | Series B, $32M raised | Pilot deployments |

**Akash’s edge:** Diamond Cooling is **additive**, not replacement. You can layer it on top of liquid cooling for compounded benefits. Most competitors force you to choose one thermal architecture; Akash enhances whatever you already have.

## What’s Next: AMD GPUs, Blackwell, and Beyond

Akash isn’t limiting Diamond Cooling® to NVIDIA. The company offers:

- **NVIDIA H200** (deployed now with NxtGen)
- **AMD GPU variants** (available)
- **NVIDIA Blackwell series** (aftermarket solutions planned for 2026)

This multi-vendor strategy matters. As enterprises diversify away from NVIDIA-only stacks (due to cost, availability, or optimization needs), Akash’s ability to cool AMD MI300X, Intel Gaudi 3, and future architectures makes it infrastructure-agnostic.

## The India Data Center Opportunity

India’s AI infrastructure market is exploding:

- **Yotta Data Services** raised $340M, building 100MW+ AI-ready capacity
- **CtrlS Datacenters** expanding to 1GW capacity by 2028
- **Airtel Nxtra** investing ₹5,000 crore in hyperscale data centers
- **AWS, Google Cloud, Microsoft Azure** all expanding India regions

Every one of these data centers faces the same thermal constraints. Ambient temperatures in Mumbai, Hyderabad, and Chennai regularly exceed 35°C, forcing expensive cooling overhead. If Diamond Cooling delivers 15% compute gains consistently, every hyperscaler will want it.

For [Indian data center operators and cloud providers](https://technosports.co.in/data-centers/), Akash’s technology could be the difference between **profitable AI infrastructure** and **thermally-constrained underperformance**.

## The Verdict: From Satellites to Sovereign AI

Diamond Cooling® started in orbit, validating its durability and thermal performance in space-grade satellite systems where failure isn’t an option. Now it’s powering India’s sovereign AI infrastructure, delivering measurable compute gains in production workloads.

The **15% improvement in usable compute** isn’t marketing fluff — it’s the delta between GPUs that thermal-throttle under load and GPUs that sustain peak performance continuously. In AI training and inference, that 15% compounds across every epoch, every batch, every inference call.

**NxtGen just deployed the world’s first Diamond-Cooled GPU servers. If the economics hold, they won’t be the last.**

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