• As opposed to traditional air cooling, Nvidia says its new liquid-cooled cards can reduce power consumption by around 30% while reducing rack space by 66%.
• Liquid-cooled A100 GPUs will be available in the second half of this year, while the new H100 card will be available in the HGX H100 server from early next year.

At its Computex 2022 keynote, Nvidia, a computing platform company, revealed its plan to make its data centers more energy efficient by introducing liquid-cooled graphics cards. The firm announced two new liquid-cooled GPUs, but they won’t be able to make their way into the next gaming PC right away. The two GPUs – the H100 (announced at GTC earlier this year) and A100 GPUs – will ship as part of HGX server racks toward the end of the year.

Besides the HGX server racks, Nvidia will offer the liquid-cooled versions of the H100 and A100 as slot-in PCIe cards. The A100 will be released in the second half of this year, and the H100 will come early next year. Nvidia believes that “at least a dozen” system builders will have these GPUs available by the end of the year, including Asus, ASRock, and Gigabyte options.

According to the firm, compared to the air-cooled version, it consumes 30% less power. Nvidia guarantees that it already has more liquid-cooled server cards on its roadmap. It also hinted that it would bring the tech to other applications like in-car systems required to keep cool in enclosed spaces.

According to Nvidia, minimizing the energy required to perform intricate computations can have a significant impact. It claims that over one per cent of the world’s electricity is used by data centers, and 40% of that is down to cooling. As opposed to traditional air cooling, Nvidia says its new liquid-cooled cards can reduce power consumption by around 30% while reducing rack space by 66%.

“Data center operators aim to eliminate chillers that evaporate millions of gallons of water a year to cool the air inside data centres. Liquid cooling promises systems that recycle small amounts of fluids in closed systems focused on key hot spots,” Nvidia explained.

“We plan to support liquid cooling in our high-performance data center GPUs and our NVIDIA HGX platforms for the foreseeable future.”

Unlike the liquid-cooled gaming GPU with an all-in-one system, the A100 and H100 use a direct liquid connection to the processing unit itself. Everything but the feed lines is hidden in the GPU enclosure, which only takes up one PCIe slot (instead of two for the air-cooled versions).

To track energy usage – a ratio between how much power a data center is drawing versus how much power the computing is using – data centers rely on Power Usage Effectiveness (PUE). With an air-cooled data center, Equinix had a PUE of about 1.6. Liquid cooling with Nvidia’s new GPUs brought that down to 1.15, which is remarkably close to the 1.0 PUE data centers aim for.

According to Asetek, a major manufacturer of water cooling systems, liquid cooling is popular in high-performance use cases – be it supercomputers or custom gaming PCs or even a few phones – because liquids are better absorbents than air. Compared to cooling down the air in an entire building or increasing airflow to the specific components on a card by dumping out all the heat with warm liquid, it’s relatively convenient to transfer it elsewhere to cool off.

Liquid-cooled cards are not just energy-efficient; they have an added benefit over their air-cooled counterparts — remarkably, they take up less space, meaning more of them can be fitted in the same amount of space.

Besides bringing energy efficiency, Nvidia says that liquid cooling also offers benefits to preserving water. To keep air-cooled systems operating, millions of gallons of water are evaporated in data centers every year. According to the head of the edge infrastructure at Equinix, Zac Smith, liquid cooling allows that water to recirculate, turning “a waste into an asset,” according to the head of the edge infrastructure at Equinix Zac Smith.

Although these cards won’t show up in the massive data centers run by Google, Microsoft, and Amazon — which are likely using liquid cooling already — that doesn’t mean they won’t have an impact. Banks, medical institutions, and data center providers like Equinix compromise a large portion of the data centers around today, and they could all benefit from liquid-cooled GPUs.

Nvidia says this is just the start of a journey to carbon-neutral data centers. In a press release, Nvidia senior product marketing manager Joe Delaere wrote that the company plans “to support liquid cooling in our high-performance data center GPUs and our Nvidia HGX platforms for the foreseeable future.”

Nvidia’s move towards energy efficiency via liquid-cooling comes close when various companies keep in mind the amounts of energy used by their servers. This is not to say that data centers are the only source of carbon emissions and pollution for big tech, but they also cannot be ignored. Moreover, critics have emphasized that offsetting energy use through credits isn’t as impactful as reducing consumption altogether. With an aim to use less energy and water, several companies, including Microsoft, have experimented with submerging servers in the liquid completely and even putting whole data centers in the ocean.

Nvidia believes that over a dozen server manufacturers – from ASUS to Gigabyte, Supermicro and more – plan to integrate the new cards into their products later this year, with the first systems to hit the market in Q3.

• The rise is predicted to take place from USD 220.0 Billion in 2021 to USD 343.6 by 2023, and the reason is an increase in the volume of data, mobile, analytics, and cloud services.
• In the future, Telecom and the IT sector will dominate the global data center market.

The data center market size is expected to grow at a CAGR of 5.1% to USD 343.6 billion by 2030 from an estimated USD 220.0 billion in 2021, according to a market research report published by P and amp;S Intelligence. The market’s growth is based on an exponential increase in the volume of data on account of increased usage of mobile, analytics, social, and cloud services.

Key leaders offering software, hardware, and construction services for the establishment of facilities are NTT Communications Corporation, Oracle Corporation, Hewlett Packard Enterprise, Equinix Inc, Alphabet Inc, and IBM Corporation.

The sample pages of the report are: https://www.psmarketresearch.com/market-analysis/data-center-market/report-sample?utm_source=PRN and amp;utm_medium=referral and amp;utm_campaign=PRN_PAID

Major Findings of Data Center Market Report

• The U.K. government introduced proposals in July 2021 to encourage its technology industry and protect customers by boosting competition in the digital sector. Therefore, the government’s role is one of the main drivers of the market advance as it will lead to data storage and management offerings
• In the same way, last year, the government of Malaysia announced plans to spend over RM 56 billion on infrastructure for wide and faster internet connectivity. The objective is the development of the country’s digital economy
• IT infrastructure is dominating the market because it includes network, storage, and server components that are important for such spaces’ functioning. This infrastructure bifurcation will advance in the near future with about a 5% CAGR
• In 2020, data creation reached 64.2 zettabytes, which was 314% more than in 2015. Experts expect that in 2025, data creation will happen at 10 times greater speed when compared in 2017. Additionally, approximately 2.5 quintillion bytes of data are generated every day, requiring ample storage space
• In April 2022, the Seagate Technology Holdings plc and PHISON Electronic Corp declared plans to expand the solid-state drive (SDD) portfolio, to aid data centers in lowering the cost of ownership (TCO).
• In 2021, the data center market of North America was the largest, holding 40% of the global share. There are over 2,600 data centers in the U.S., many of them are situated in Northern California, where firms such as Yelp, Google, Twitter, and Facebook have headquarters.

It is predicted that the IT and Telecom Sector will dominate the global data center market in the coming years. Faster adoption of newer technologies such as cloud computing, the Internet of Things (IoT), and Artificial Intelligence (AI) leads to a high volume of data creation. Because everyone doesn’t have ample space to store the data, they use cloud storage given by data management facilities.

Furthermore, the pandemic has led to a strong rise in investments and initiatives in the data center market across the globe. During the COVID-19 pandemic, the number of such facilities and things grew exponentially.

• Nvidia works on solving the significant challenges in the tech stack and brings zero trust security into the picture.
• CISO and CIO also created Zero Trust Maturity Model as a benchmark for security, which puts Nvidia’s latest technologies at the forefront.

Nvidia’s latest product strategy updates announced at the March 2022 GPU Technology Conference (GTC) last week reflect the high priority its DevOps and engineering teams are putting on reducing the gaps in data center cybersecurity. The gaps in cybersecurity tech stacks are growing because the supporting platforms were not designed for a zero-trust world.

The lack of platform and tech stack support makes implementing least-privileged access across data centers to the server level financially unattainable for many IT budgets. In addition, getting micro-segmentation accomplished for legacy servers and integrating Identity Access Management (IAM) takes much time on legacy tech stacks. Similarly, implementing Privileged Access Management (PAM) in the whole legacy infrastructure environment needs integration workarounds.

It’s hard to equip legacy tech stacks with the technology needed to support zero trust with top-down approaches. Nvidia’s product and solution strategies, unveiled at the GTC 2022, affirm that the company understands this aspect and is taking steps to solve complex tech stack challenges and, at the same time, improve market value.

Nvidia’s take on cybersecurity

Nvidia’s BlueField-2 DPU (currently in Beta), which supports VMware’s Project Monterey, reflects how ingrained the design goal of augmenting enterprise tech stacks is in their product strategy. For instance, the Nvidia Bluefield-3 DPU programmable data center infrastructure-on-a-chip is equipped with a public key accelerator, root-of-trust, security firmware updates, and Cerberus designed into their silicon and network platforms. All of these features work in sync to improve security. Specifically, the Monterey LaunchPad Beta is flexible in design to support micro-segmentation across data centers, which is essential to implement a zero-trust framework.

Also, Nvidia’s all-new Hopper GPU architecture and new H100 GPU, announced last week, have confidential security models working to secure the models and data. The new product also reinforces the company’s design objective, focusing on enabling zero trust across all products. Another feature is confidential computing, designed to safeguard AI models and customer data when in process.

During processing, confidential computing separates data in an encrypted area. The contents of the encrypted area, including data being processed, are accessible only to authorized programming code and are invisible to anyone else.

“We updated 60 SDKs (software development kits) at this GTC,” said Jensen Huang, Nvidia’s CEO “for our 3 million developers, scientists, and AI researchers and tens of thousands of startups and enterprises, the same Nvidia systems you run just got faster.”

National Standards creating benchmark for zero-trust security

Every CISO and CIO choose benchmarking approaches and assess how much a vendor reduces risk and secures their business. Ideally, organizations must benchmark how effective Nvidia is in assisting them in reaching their zero trust initiatives. Presently, an increasing base of new benchmarks and frameworks is being developed for CISOs, CIOs and their teams in this area.

A primary catalyst in driving the development of these essential benchmarks is the National Security Telecommunications Advisory Committee’s (NSTAC) report, Zero Trust and Trusted Identity Management.

Nvidia has expertise in finding gaps in the tech stack and new engineering solutions from silicon to SDKs to solve them. The company’s rapid advances in zero trust security are a case here. Nvidia DOCA 1.3 was launched last week at the GTC 2022, along with updates to 60 different SDKs to align the development efforts of startups, partners, and enterprises on the standardization of the AI platform.

Therefore, technologies like these are something that Nvidia will continue to strive to be on the forefront of that will assist enterprise leaders and security teams with adhering to and implementing national guidelines put down by the government entities.

• The company also revealed the new supercomputer “Eos”, which it claims will be the world’s fastest AI system when operations start later this year.
• Intel and AMD in data center markets will face big-time competition due to the new launch by Nvidia.

Nvidia Corp. announced the launch of chips and technologies, which according to it, will enhance the computing speed of highly complicated Artificial Intelligence (AI) algorithms. This will allow it to compete with rival chipmakers trying to make data center a lucrative  business.

The firm gave the details of the all-new Graphics Chips (GPU), which will form the basis of AI infrastructure. It also released the H100 chip and a new processor chip called the Grace CPU Superchip based on British chip firm Arm Ltd’s technology. This will be the first Arm-based chip from Nvidia ever since its plan to buy Arm did not see through last month.

The company has also revealed the new supercomputer “Eos”, which it claims will be the world’s fastest AI system when operations start later this year.

Nvidia believes that the new technologies will decrease the computing time from weeks to days for some work involving training AI models.

With advancements in technology, companies are increasingly using AI and Machine Learning for several things – right from making recommendations for the next video to new drug discovery, everything.

Intel Corp has been the biggest producer of central processors for data centers. Still, competition persists for this lucrative fast-growing space rise.

Regarding the new chip launch, Vlad Galabov, head of cloud and data center research practise at firm Omdia, said he has doubts about the H100 chip’s power consumption and said that the new chip might inhibit the processor’s broad market appeal.

Nvidia’s Chief Financial Officer Colette Kress said that the new chips pushing AI computing forward would move the company’s market opportunity to trillion dollars, from gaming to chips and systems and business.

Nivida said that it was looking forward to monetize its software business in the future, particularly since its open-source software has been driving companies to use its chips.

Nvidia Chief Executive Officer Jensen Huang said that Nvidia has started shipping the autonomous vehicle computer “Drive Orin” this month and Chinese electric vehicle maker BYD Co Ltd (002594.SZ) and luxury electric car maker Lucid Motors (LCID.O) will use the Nvidia Drive for the next generation fleets.

Nvidia shares closed down 0.8% at $265.24 on the Nasdaq.

Experts’ view

“Data centers are becoming AI factories — processing and refining mountains of data to produce intelligence,” said Nvidia Chief Executive Officer Jensen Huang in a statement, calling the H100 chip the “engine” of AI infrastructure.

“It’s clear from the latest announcements that Nvidia is becoming a more significant threat to Intel and AMD in the data center and cloud computing markets,” said Bob O’Donnell chief analyst at TECHnalysis Research.

Kress added, “Already we have been selling software to our enterprises and this is a couple hundred million dollars today and we believe this is a growth opportunity for us”.

• Huawei’s VP has predicted that data centers will slowly migrate to an all-flash model, and the cost of flash storage will also fall.
• The emerging technology will also adhere to the rising data storage demand seeing the present scenario.

Huawei has predicted that Solid-state drives (SSDs) can sidetrack traditional Hard Disk Drives (HDDs) to the corner of the data center by 2025. The company’s VP of data storage, Fupeng Zhang, iterated that superior performance of flash storage and falling prices are pulling down the market of HDDs.

Zhang believes that the process will be slow, but the anticipation is that SSDs will take up 80% of non-archival data center storage by 2025, which is 30% above what it is today.

Zhang also explained that there are three main storage attributes that enterprises and cloud providers are trying to enhance: Reliability, capacity, and performance. The mix of these attributes varies from case to case. For example, capacity and reliability may be the most crucial factor in some places; performance may be the chief concern in other places.

The mechanical drives do well on the capacity front, but they lag behind flash storage in terms of performance. The transition is crucial to enable different kinds of edge use cases that will also benefit from technologies such as 5G and AI.

“Without proper performance, capacity means nothing,” Zhang noted.

As data centers will slowly migrate to an all-flash model, Huawei believes because of a fall in the cost of flash shortage. The company’s goal is to help businesses undergo this transition while still maintaining their operations.

Manage data overload

With the volume of data produced by digital devices, IoT, and the internet expanding rapidly, businesses are also losing the time to solve any critical problem: Where to pull it all.

A recent report by IDC reported that the quantity of data created in the next five years would be greater than double the amount generated since digital storage came into use.

Although a small percentage of the 64.2 ZB (68.9 billion TB) created in 2020 was stored for the long term. Global data storage needs are still outpacing the expansion of total capacity. As Zhang puts it, “supply of capacity is decoupling from demand.”

When asked if he believes that innovation in the storage sector will be sufficient for total available capacity to keep pace with demand in the years to come, Zhang suggested he is optimistic.

He noted that DNA storage and other emerging technologies show promise, at least breakthroughs in the field of storage, innovations on the algorithm side, will allow for greater storage density and better compression.

Experts’ view

“Data is no longer just information; it’s an asset – the oil of the digital era. Technologies like 5G, cloud and edge computing are the tools, the data is the fuel, and the storage medium is the fuel tank that guarantees the supply,” said Zhang.

“We are improving on the storage media, networking and compute performance front; with these three improvements, capacity will meet the need.”

“The all-flash data center is a vision for the future,” explained Zhang. “We believe we should build systems with an all-flash mindset, but with backwards compatibility.”

“By 2025, the cheapest flash storage may be 2.5 times more expensive than the cheapest hard drives, but it could also allow for 2.5 times greater compression, so the cost will balance out.”

• Completing migration will enable DataBank to handle workloads and hyperscale customers easily.
• The recent migration also gives the company 1.7 million sq ft. of colocation space and 183 MW of UPS capacity in 60 plus data centers and 20 network hubs.

Databank, a prominent service provider of interconnection, enterprise-class colocation, and managed cloud services, announced the completion of a year-long migration of zColo data center consumers to DataBank’s edge colocation and interconnect platform.

This migration allows DataBank to focus on the increasingly diverse workloads of its enterprise and hyperscale clients. It also aims to deliver its ‘Data Center Evolved’ strategy, which focuses on giving customers extended reach and moving workloads and content closer to the edge.

DataBank became the largest privately-held data center in the US when it acquired 44 data centers from Zayo Group Holdings in 2020. Within the acquisition comes 13 key interconnect locations across 23 markets in the US and Europe. Now, company is giving customers 1.7 million sq ft. of colocation space and 183 MW of installed UPS capacity in 60 plus data centers and 20 major network interconnect hubs.

The DataBank offers customers a range of edge, colocation, and hybrid cloud strategies. It also gives space to design hybrid IT solutions that adapt as their infrastructure requirement evolves. These services offer customers the joy of meeting their edge infrastructure demands, no matter the location or application.

Experts’ view

“It’s important to DataBank that every customer receives the best service and user experience possible. As such, our team worked diligently to ensure that all customers are fully integrated into DataBank’s proven customer-focused service framework enabled by our world-class customer portal providing real time communications, interconnection management, access control, monitoring, and analytics,” commented Vlad Friedman, CTO of DataBank. “Through the migration process, we are proud to have also significantly elevated Net Promoter Score (NPS), which is a core metric used in customer experience programs. Completing one of the largest integrations in our industry, while improving the customer experience is a testament to the deep dedication of our DataBank team and their proven integration capabilities.”

• With a slew of projects in the Asia Pacific, the group can build data centers with a combined server capacity of 250 megawatts and a GVA of over USD 10 billion.
• In August, ESR announced that it has acquired ARA for USD 5.2 billion and aims to create the biggest real estate asset manager in the Asia-Pacific region.

ESR Cayman and ARA Asset Management’s Logos are raising two complementary funds to raise a total of USD 2.5 billion to bankroll the enlarged group’s expansion into the growing data center space across the Asia Pacific region. They aim to replicate their success as the biggest landlord for e-commerce giants across the region.

Hong Kong-based ESR, which will soon form an alliance with Singapore’s ARA Asset Management and Logos, will expectedly complete the first closing for the data center development funds by mid-2022, said Jeffrey Perlman, ESR chairman, in an interview.

In August, ESR announced that it has acquired ARA for USD 5.2 billion and aims to create the biggest real estate asset manager in the Asia-Pacific region with assets worth USD 130 billion under management. The two companies moved to combine their Singapore-based units, ESR REIT and ARA Logos Logistics Trust, in a separate deal. Both transactions will get completed in the first quarter of 2022.

The merger will transform both entities into the largest new economy property platform in the Asia Pacific with AUM exceeding USD 50 billion that comprises mainly logistics assets. The group has been tapping into data centers to meet the rising demand for digital infrastructure. Some of the company’s biggest logistics tenants include Amazon, Alibaba, and JD.com.

ESR is building the biggest data center project in Japan’s Osaka. After completion, it is expected to have a Gross Asset Value (GAV) of over USD 2 billion. Furthermore, the company also plans to redevelop an industrial asset into a data center. The asset was purchased by it in May from the family of a noted tycoon, the late Tang Shing Bor. When completed, its GVA will stand at USD 675 million.

With a slew of projects in the Asia Pacific, the group can build data centers with a combined server capacity of 250 megawatts and a GVA of over USD 10 billion. Perlman expects data centers to eventually account for as much as 15% of the group’s new economy property portfolio. This  includes cold storage facilities and modern warehouses for cloud kitchens.

The Asia Pacific region has seen a spur in data centers in recent times owing to the growth of digital platforms, e-commerce portals and video conferencing. The data center market is expected to see double growth to about USD 60 billion by 2027 from USD 26 billion in 2020, as per a study published by Research and Markets. The combined entity, ESR and ARA, is backed by some of the biggest investors, including Canada’s Oxford Properties and Warburg Pincus. Other investors include ARA co-founder John Lim and Singapore billionaire Jeffrey Shen as its most notable investors.

Expert view

“The rapid growth of e-commerce has only accelerated during the pandemic,” Perlman says. “Digital transformation is ongoing in our daily lives. We’re using Zoom, and Teams every day and all that data need to be stored somewhere. It’s stored in the cloud and so there’s a continued need for data centers.”

• BCS proclaims an expansion plan of its solutions portfolio to introduce a new BCS Government Programs division.
• Craig Harris has been named as SVP and Chief Government Programs Officer for leading BCS Government Programs efforts.
• The announcement by BCS was made during the consolidation of federal government agencies.
• BCS utilizes a complete lifecycle of solutions delivered via trained and certified people, best-in-class processes, and leading technologies.

BCS expansion plan

BCS Data Center Operations (BCS) proclaims an expansion plan of its solutions portfolio to introduce a new BCS Government Programs division committed to serving the mission of the US and state governments and their partners. The expansion strengthens BCS to respond quickly to essential infrastructure requirements caused by recent government shifts.

Craig Harris has been named Senior Vice President and Chief Government Programs Officer for leading BCS Government Programs efforts. Based in BCS’s Addison, Texas (US), corporate headquarters, he gets into BCS with two years of operations experience, including –

• Management of colocation operations for a leading data center supplier
• Leading the Amazon Web Services (AWS) infrastructure team handling the US government contracts
• Leading IT process-design projects for the federal administration
• Introducing state-of-the-art fulfillment centers for Amazon

The announcement by BCS was made during the consolidation of federal government agencies, a rise in the volume of dispersed confidential workloads, and a push by the Office of Management and Budget (OMB) to run data center assets and vital infrastructure more effectively.

BCS Government Programs employs the similar delivery model elements effectively used with private industry partners to unraveling serious difficulties facing government agencies, especially those within the undeserved cleared-contractor industry.

Now, BCS has more than 6 million square feet and 350 MW of critical power under contract, comprising a colossal portion managing compliant, highly regulated, uptime-dependent environments, including three of the world’s leading financial service industries.

Early this year, BCS revealed receiving Uptime Institute’s M&O Stamp of Approval. It is a successful Service Operation Control (SOC) 2 Type II report and Payment Card Industry Data Security Standard (PCI DSS) evaluation for the data center campus they operate in Phoenix.

BCS utilizes a complete lifecycle of solutions delivered via trained and certified people, best-in-class processes, and leading technologies via a single integrated delivery system, freeing agencies and their partners to concentrate on accomplishing their primary objective. BCS’s self-performance, single-source model, means BCS workers perform at least 80% of all services.

BCS is an enterprise-level, crucial services company concentrating majorly on data centers.

Expert’s thoughts

Danny Crocker, CEO & Founder at BCS, commented: “We’ve known for some time that our operations model, disciplined approach, and nimble, responsive delivery model is uniquely capable of meeting the demands and critical needs of the public sector.”

He further added, “The opportunity to add an executive with Craig’s background and experience to lead BCS Government Programs allowed us to make this strategic move.”

John Hevey, SVP, Chief Technical Services Officer (CTSO) at BCS Data Center Operations, commented: “Most government data center facility management contracts, including cleared work, rely on multiple vendors and subcontractors to perform critical operations, IT services, physical security and maintenance services.”

He further added, “This approach, while common, introduces a level of risk and inefficiency that the public sector is seeking to mitigate.”

• Peptone has installed an NVIDIA DGX A100 system at Verne Global’s HPC optimized data center campus.
• Peptone is the world’s first AI-driven Protein Engineering Operating System (PeOS).
• After three years of hard work by physicist and founder Dr. Kamil Tamiola and team developed a foundation of PeOS.
• PeOS by Peptone will manage massively parallel molecular simulations.
• NVIDIA DGX A100 supercomputer at Verne Global’s campus is powered by 100% renewable energy.
• Expert’s view on collaboration.

About installation of an NVIDIA DGX A100 system

Four months after introducing its seed round from Hoxton Ventures and dRX Capital, Novartis Pharma AG’s venture arm, Peptone, has installed an NVIDIA DGX A100 system at Verne Global’s HPC optimized data center campus in Keflavik, Iceland.

Peptone is the world’s first AI (artificial intelligence) driven Protein Engineering Operating System (PeOS). The company also declared a partnership with NVIDIA to advance its AI-driven protein engineering system to meet rising demands from the protein therapeutics industry.

After three years of hard work, the physicist and founder Dr. Kamil Tamiola and his team (physicists, computer engineers, structural biologists, and mathematicians) developed a foundation of PeOS.

In collaboration with NVIDIA, PeOS by Peptone will manage massively parallel molecular simulations, which are orchestrated and supervised by reinforcement learning algorithms.

The platform is developed to automatically find non-obvious protein variants with desirable therapeutic properties and cost-efficient manufacturability.

Peptone was chosen to colocate its new NVIDIA DGX A100 supercomputer at Verne Global’s campus as it is powered by 100% renewable energy and as part of the NVIDIA DGX-Ready Data Center Program, is optimized to support and maintain high density and HPC applications operating on NVIDIA infrastructures.

Expert’s views

Dr. Kamil Tamiola, Founder, Chief Executive Officer at Peptone, commented: “The business of protein therapeutics is a huge industry and as we grow and further develop our supercomputing capacity, we can help make significant progress in bringing sought-after protein-based treatments to market faster. Our collaboration with NVIDIA ensures that we have access to best-in-class AI and supercomputing hardware and support. The decision to locate our computing hardware in Verne’s Global facility in Keflavik transpires from our commitment to sustainability and security, as no other Tier-3 facility in this part of the world offers this level of operational resilience and runs on completely renewable energy sources. We are proud to be one of the first startups with our own supercomputing hardware operating on completely renewable energy sources.”

Craig Rhodes, EMEA Industry Lead for Artificial Intelligence Healthcare and Life Science at NVIDIA, commented: “GPUs are accelerating every phase of drug discovery, and in the early phases of drug development, they can massively reduce the time to market.”

He further added, “As an NVIDIA Inception member, our acceleration platform for AI startups, Peptone is showing remarkable success in the use of their technology to advance this area of discovery.”

Dominic Ward, Chief Executive Officer at Verne Global, commented: “We’re delighted Peptone has selected Verne Global as its data center partner at this mission-critical moment for the company.”

He further added, “Our facility, powered by 100 percent renewable geothermal and hydroelectric energy sources, is optimized for the secure and scalable high intensity computing required by Peptone to successfully meet the growing demands of the protein therapeutics market and accelerate the time to market of protein-based drugs.”

• Adani Enterprises and EdgeConnex publicized the establishment of a 50:50 joint venture (JV).
• Both enterprises will use their expertise and capabilities to develop and operate data centers across India.
• The idea behind joining forces is to boost the Digital India program.
• This pan-Indian platform of hyperlocal and hyperscale data centers will be driven by renewable energy.

AdaniConnex JV, a new data center platform

Adani Enterprises, India’s leading multi-infrastructure organization, and the venture of Adani Group and EdgeConnex, a topmost data center operator, publicized a 50:50 joint venture (JV).

Both enterprises will use their expertise and capabilities to develop and operate data centers across India. Adani Enterprises and EdgeConnex will work in a team to address the rising requirements for enhanced and reliable IT infrastructure. To develop India’s leading green data center platform, both enterprises will invest significant capital into joint ventures over the next decade.

The idea behind joining forces is to boost the Digital India program, a plan by the Government of India to turn India into a digitally inspired society and knowledge economy.

Along with full-scale data centers, AdaniConnex will also develop a portfolio of edge data centers strategically located across India, which will support the requirement of more proximate capacity. These edge sites are planned and designed to scale quickly with rising demand and become full-scale data center campuses.

This pan-Indian platform of hyperlocal and hyperscale data centers will be driven by renewable energy. Being a most renowned provider of data center solutions, EdgeConnex will contribute well-trained personnel and leading industrial technology solutions to the venture.

The AdaniConnex JV will be completely concentrating on developing a network of hyperscale data centers in India, beginning with Chennai, Navi Mumbai, Noida, Vizag, and Hyderabad markets. As per the resources, construction and development at these sites have already started.

Expert’s views

Randy Brouckman, CEO at EdgeConneX, Inc., commented: “In Adani, we have the ideal partner in India. They possess the necessary capabilities and unique expertise in India required to build out critical digital infrastructure that can best support our customers across the entire country. We look forward to investing in the digital economy of India and meeting our customers’ needs throughout the region in collaboration with Adani.”

Gautam Adani, Chairman of the Adani Group, commented: “One of the best manifestations of our Honorable Prime Minister’s Digital India vision is the speed with which the entire Indian population has come online and the subsequent continued exponential growth in data consumption.”

He further added: “India currently has one of world’s largest data subscriber population and to address the need for a reliable infrastructure to support Cloud, Content, Network, IoT, 5G, AI and enterprise requirements, data centers are a fundamental infrastructure need of a nation. The Adani Group brings to the table a unique combination of green power, real estate expertise, access to undersea cable landing stations, and several nodes across the country that will serve as edge locations. In addition to EdgeConneX’s domain expertise and cutting-edge technology in the data center business, we have been very impressed with the agility they bring to the joint venture.”